Music_Genre_Classification_using_Keras.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Music_Genre_Classification_using_Keras.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python2",
      "display_name": "Python 2"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/darelover/Music-Genre-Classification/blob/master/Music_Genre_Classification_using_Keras.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "ZUe5qsy3VnSI",
        "colab_type": "code",
        "outputId": "66710b70-da81-4b13-dc3e-44cd70560da7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 124
        }
      },
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/gdrive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "kTF6IHuuWJio",
        "colab_type": "code",
        "outputId": "6f2d0dc5-8a2e-46ce-e799-d018ab15e15c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "cd ../gdrive/My Drive/MGC"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/gdrive/My Drive/MGC\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "NIRUvr-SVUpk",
        "colab_type": "code",
        "outputId": "b6ef03b3-7b92-49d3-ac18-5cc70e514a5b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "import librosa\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import os\n",
        "from PIL import Image\n",
        "import pathlib\n",
        "import csv\n",
        "\n",
        "import keras\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "id": "bEZsKLtkjNcj",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Dataset used :-\n",
        "\n",
        "This notebook uses [GTZAN Genre Collection](http://marsyas.info/downloads/datasets.html) for training the classifier. The dataset consists of 1000 audio tracks each 30 seconds long. It contains 10 genres(blues, classical, country, disco, hiphop, jazz, metal, pop, reggae, rock), each represented by 100 tracks. The tracks are all 22050Hz Mono 16-bit audio files in .wav format."
      ]
    },
    {
      "metadata": {
        "id": "LpTuosEfaGrW",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Feature Extraction \n",
        "\n",
        "Using librosa library we extract following features from the audio file:-\n",
        "\n",
        "\n",
        "* Chromagram\n",
        "* Root-mean-square (RMS) energy for each frame\n",
        "* Spectral Centroid\n",
        "* Spectral Bandwidth\n",
        "* Spectral Roll-off.\n",
        "* Zero Crossing Rate\n",
        "* Mel-frequency cepstral coefficients (MFCCs)\n",
        "\n",
        "All of these features are written into \"data.csv\" file"
      ]
    },
    {
      "metadata": {
        "id": "8SsTYxS5VUpt",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "header = 'filename chroma_stft rmse spectral_centroid spectral_bandwidth rolloff zero_crossing_rate'\n",
        "for i in range(1, 21):\n",
        "    header += \" mfcc{}\".format(i)\n",
        "header += \" label\"\n",
        "header = header.split()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "7udp4z67VUpv",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "if not os.path.exists('data.csv'):\n",
        "\n",
        "  file = open('data.csv', 'w')\n",
        "  with file:\n",
        "      writer = csv.writer(file)\n",
        "      writer.writerow(header)\n",
        "  genres = 'blues classical country disco hiphop jazz metal pop reggae rock'.split()\n",
        "  for g in genres:\n",
        "      for filename in os.listdir(\"./genres/{}\".format(g)):\n",
        "          songname = \"./genres/{}/{}\".format(g,filename)\n",
        "          y, sr = librosa.load(songname, mono=True, duration=30)\n",
        "\n",
        "          chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)\n",
        "          rmse        = librosa.feature.rmse(y=y)\n",
        "          spec_cent   = librosa.feature.spectral_centroid(y=y, sr=sr)\n",
        "          spec_bw     = librosa.feature.spectral_bandwidth(y=y, sr=sr)\n",
        "          rolloff     = librosa.feature.spectral_rolloff(y=y, sr=sr)\n",
        "          zcr         = librosa.feature.zero_crossing_rate(y)\n",
        "          mfcc        = librosa.feature.mfcc(y=y, sr=sr)\n",
        "\n",
        "          to_append = \"{} {} {} {} {} {} {}\".format(filename,np.mean(chroma_stft),np.mean(rmse),np.mean(spec_cent),np.mean(spec_bw),np.mean(rolloff),np.mean(zcr))\n",
        "          for e in mfcc:\n",
        "              to_append += \" {}\".format(np.mean(e))\n",
        "          to_append += \" {}\".format(g)\n",
        "          file = open('data.csv', 'a')\n",
        "          with file:\n",
        "              writer = csv.writer(file)\n",
        "              writer.writerow(to_append.split())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "FAFaWaJvVUpy",
        "colab_type": "code",
        "outputId": "4dc1d64a-e732-4971-e060-6c5baaf4d409",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 247
        }
      },
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('data.csv')\n",
        "data.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>filename</th>\n",
              "      <th>chroma_stft</th>\n",
              "      <th>rmse</th>\n",
              "      <th>spectral_centroid</th>\n",
              "      <th>spectral_bandwidth</th>\n",
              "      <th>rolloff</th>\n",
              "      <th>zero_crossing_rate</th>\n",
              "      <th>mfcc1</th>\n",
              "      <th>mfcc2</th>\n",
              "      <th>mfcc3</th>\n",
              "      <th>...</th>\n",
              "      <th>mfcc12</th>\n",
              "      <th>mfcc13</th>\n",
              "      <th>mfcc14</th>\n",
              "      <th>mfcc15</th>\n",
              "      <th>mfcc16</th>\n",
              "      <th>mfcc17</th>\n",
              "      <th>mfcc18</th>\n",
              "      <th>mfcc19</th>\n",
              "      <th>mfcc20</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>blues.00043.au</td>\n",
              "      <td>0.399025</td>\n",
              "      <td>0.127311</td>\n",
              "      <td>2155.654923</td>\n",
              "      <td>2372.403604</td>\n",
              "      <td>5012.019693</td>\n",
              "      <td>0.087165</td>\n",
              "      <td>-109.165355</td>\n",
              "      <td>100.621500</td>\n",
              "      <td>-8.614721</td>\n",
              "      <td>...</td>\n",
              "      <td>6.585774</td>\n",
              "      <td>-8.642621</td>\n",
              "      <td>4.912259</td>\n",
              "      <td>-15.442804</td>\n",
              "      <td>1.538750</td>\n",
              "      <td>-6.732474</td>\n",
              "      <td>1.417774</td>\n",
              "      <td>-3.961750</td>\n",
              "      <td>3.287460</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>blues.00012.au</td>\n",
              "      <td>0.269320</td>\n",
              "      <td>0.119072</td>\n",
              "      <td>1361.045467</td>\n",
              "      <td>1567.804596</td>\n",
              "      <td>2739.625101</td>\n",
              "      <td>0.069124</td>\n",
              "      <td>-207.208080</td>\n",
              "      <td>132.799175</td>\n",
              "      <td>-15.438986</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.613248</td>\n",
              "      <td>0.384877</td>\n",
              "      <td>2.605128</td>\n",
              "      <td>-5.188924</td>\n",
              "      <td>-9.527455</td>\n",
              "      <td>-9.244394</td>\n",
              "      <td>-2.848274</td>\n",
              "      <td>-1.418707</td>\n",
              "      <td>-5.932607</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>blues.00026.au</td>\n",
              "      <td>0.278484</td>\n",
              "      <td>0.076970</td>\n",
              "      <td>1198.607665</td>\n",
              "      <td>1573.308974</td>\n",
              "      <td>2478.376680</td>\n",
              "      <td>0.051988</td>\n",
              "      <td>-284.819504</td>\n",
              "      <td>108.785628</td>\n",
              "      <td>9.131956</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.303735</td>\n",
              "      <td>1.601561</td>\n",
              "      <td>2.660517</td>\n",
              "      <td>3.323455</td>\n",
              "      <td>3.258920</td>\n",
              "      <td>-4.551106</td>\n",
              "      <td>0.493845</td>\n",
              "      <td>5.937066</td>\n",
              "      <td>3.231544</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>blues.00077.au</td>\n",
              "      <td>0.408876</td>\n",
              "      <td>0.243217</td>\n",
              "      <td>2206.771246</td>\n",
              "      <td>2191.473506</td>\n",
              "      <td>4657.388504</td>\n",
              "      <td>0.111526</td>\n",
              "      <td>-29.010990</td>\n",
              "      <td>104.532914</td>\n",
              "      <td>-30.974207</td>\n",
              "      <td>...</td>\n",
              "      <td>10.786454</td>\n",
              "      <td>-10.558812</td>\n",
              "      <td>6.877709</td>\n",
              "      <td>-10.294858</td>\n",
              "      <td>6.967845</td>\n",
              "      <td>-10.256100</td>\n",
              "      <td>0.705014</td>\n",
              "      <td>-6.000722</td>\n",
              "      <td>1.348955</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>blues.00084.au</td>\n",
              "      <td>0.396258</td>\n",
              "      <td>0.235238</td>\n",
              "      <td>2061.150735</td>\n",
              "      <td>2085.159448</td>\n",
              "      <td>4221.149475</td>\n",
              "      <td>0.113397</td>\n",
              "      <td>-38.965941</td>\n",
              "      <td>112.039843</td>\n",
              "      <td>-31.817035</td>\n",
              "      <td>...</td>\n",
              "      <td>13.327049</td>\n",
              "      <td>-10.921602</td>\n",
              "      <td>9.795615</td>\n",
              "      <td>-5.031277</td>\n",
              "      <td>7.200982</td>\n",
              "      <td>-6.754969</td>\n",
              "      <td>2.663612</td>\n",
              "      <td>-4.380430</td>\n",
              "      <td>0.414055</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 28 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         filename  chroma_stft      rmse  spectral_centroid  \\\n",
              "0  blues.00043.au     0.399025  0.127311        2155.654923   \n",
              "1  blues.00012.au     0.269320  0.119072        1361.045467   \n",
              "2  blues.00026.au     0.278484  0.076970        1198.607665   \n",
              "3  blues.00077.au     0.408876  0.243217        2206.771246   \n",
              "4  blues.00084.au     0.396258  0.235238        2061.150735   \n",
              "\n",
              "   spectral_bandwidth      rolloff  zero_crossing_rate       mfcc1  \\\n",
              "0         2372.403604  5012.019693            0.087165 -109.165355   \n",
              "1         1567.804596  2739.625101            0.069124 -207.208080   \n",
              "2         1573.308974  2478.376680            0.051988 -284.819504   \n",
              "3         2191.473506  4657.388504            0.111526  -29.010990   \n",
              "4         2085.159448  4221.149475            0.113397  -38.965941   \n",
              "\n",
              "        mfcc2      mfcc3  ...       mfcc12     mfcc13    mfcc14     mfcc15  \\\n",
              "0  100.621500  -8.614721  ...     6.585774  -8.642621  4.912259 -15.442804   \n",
              "1  132.799175 -15.438986  ...    -0.613248   0.384877  2.605128  -5.188924   \n",
              "2  108.785628   9.131956  ...    -3.303735   1.601561  2.660517   3.323455   \n",
              "3  104.532914 -30.974207  ...    10.786454 -10.558812  6.877709 -10.294858   \n",
              "4  112.039843 -31.817035  ...    13.327049 -10.921602  9.795615  -5.031277   \n",
              "\n",
              "     mfcc16     mfcc17    mfcc18    mfcc19    mfcc20  label  \n",
              "0  1.538750  -6.732474  1.417774 -3.961750  3.287460  blues  \n",
              "1 -9.527455  -9.244394 -2.848274 -1.418707 -5.932607  blues  \n",
              "2  3.258920  -4.551106  0.493845  5.937066  3.231544  blues  \n",
              "3  6.967845 -10.256100  0.705014 -6.000722  1.348955  blues  \n",
              "4  7.200982  -6.754969  2.663612 -4.380430  0.414055  blues  \n",
              "\n",
              "[5 rows x 28 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "metadata": {
        "id": "rRHa0e1GVUp1",
        "colab_type": "code",
        "outputId": "fbddd400-0480-4cb1-bba2-e844cc7f4964",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1000, 28)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "metadata": {
        "id": "-flXZKI3VUp5",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "data = data.drop(['filename'], axis=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "WjS2DDuKVUp7",
        "colab_type": "code",
        "outputId": "bdfcc14c-fc95-4437-91c7-ceba90245508",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1927
        }
      },
      "cell_type": "code",
      "source": [
        "data"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>chroma_stft</th>\n",
              "      <th>rmse</th>\n",
              "      <th>spectral_centroid</th>\n",
              "      <th>spectral_bandwidth</th>\n",
              "      <th>rolloff</th>\n",
              "      <th>zero_crossing_rate</th>\n",
              "      <th>mfcc1</th>\n",
              "      <th>mfcc2</th>\n",
              "      <th>mfcc3</th>\n",
              "      <th>mfcc4</th>\n",
              "      <th>...</th>\n",
              "      <th>mfcc12</th>\n",
              "      <th>mfcc13</th>\n",
              "      <th>mfcc14</th>\n",
              "      <th>mfcc15</th>\n",
              "      <th>mfcc16</th>\n",
              "      <th>mfcc17</th>\n",
              "      <th>mfcc18</th>\n",
              "      <th>mfcc19</th>\n",
              "      <th>mfcc20</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.399025</td>\n",
              "      <td>0.127311</td>\n",
              "      <td>2155.654923</td>\n",
              "      <td>2372.403604</td>\n",
              "      <td>5012.019693</td>\n",
              "      <td>0.087165</td>\n",
              "      <td>-109.165355</td>\n",
              "      <td>100.621500</td>\n",
              "      <td>-8.614721</td>\n",
              "      <td>47.358475</td>\n",
              "      <td>...</td>\n",
              "      <td>6.585774</td>\n",
              "      <td>-8.642621</td>\n",
              "      <td>4.912259</td>\n",
              "      <td>-15.442804</td>\n",
              "      <td>1.538750</td>\n",
              "      <td>-6.732474</td>\n",
              "      <td>1.417774</td>\n",
              "      <td>-3.961750</td>\n",
              "      <td>3.287460</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.269320</td>\n",
              "      <td>0.119072</td>\n",
              "      <td>1361.045467</td>\n",
              "      <td>1567.804596</td>\n",
              "      <td>2739.625101</td>\n",
              "      <td>0.069124</td>\n",
              "      <td>-207.208080</td>\n",
              "      <td>132.799175</td>\n",
              "      <td>-15.438986</td>\n",
              "      <td>60.986727</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.613248</td>\n",
              "      <td>0.384877</td>\n",
              "      <td>2.605128</td>\n",
              "      <td>-5.188924</td>\n",
              "      <td>-9.527455</td>\n",
              "      <td>-9.244394</td>\n",
              "      <td>-2.848274</td>\n",
              "      <td>-1.418707</td>\n",
              "      <td>-5.932607</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.278484</td>\n",
              "      <td>0.076970</td>\n",
              "      <td>1198.607665</td>\n",
              "      <td>1573.308974</td>\n",
              "      <td>2478.376680</td>\n",
              "      <td>0.051988</td>\n",
              "      <td>-284.819504</td>\n",
              "      <td>108.785628</td>\n",
              "      <td>9.131956</td>\n",
              "      <td>51.259030</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.303735</td>\n",
              "      <td>1.601561</td>\n",
              "      <td>2.660517</td>\n",
              "      <td>3.323455</td>\n",
              "      <td>3.258920</td>\n",
              "      <td>-4.551106</td>\n",
              "      <td>0.493845</td>\n",
              "      <td>5.937066</td>\n",
              "      <td>3.231544</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.408876</td>\n",
              "      <td>0.243217</td>\n",
              "      <td>2206.771246</td>\n",
              "      <td>2191.473506</td>\n",
              "      <td>4657.388504</td>\n",
              "      <td>0.111526</td>\n",
              "      <td>-29.010990</td>\n",
              "      <td>104.532914</td>\n",
              "      <td>-30.974207</td>\n",
              "      <td>38.156392</td>\n",
              "      <td>...</td>\n",
              "      <td>10.786454</td>\n",
              "      <td>-10.558812</td>\n",
              "      <td>6.877709</td>\n",
              "      <td>-10.294858</td>\n",
              "      <td>6.967845</td>\n",
              "      <td>-10.256100</td>\n",
              "      <td>0.705014</td>\n",
              "      <td>-6.000722</td>\n",
              "      <td>1.348955</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.396258</td>\n",
              "      <td>0.235238</td>\n",
              "      <td>2061.150735</td>\n",
              "      <td>2085.159448</td>\n",
              "      <td>4221.149475</td>\n",
              "      <td>0.113397</td>\n",
              "      <td>-38.965941</td>\n",
              "      <td>112.039843</td>\n",
              "      <td>-31.817035</td>\n",
              "      <td>38.240835</td>\n",
              "      <td>...</td>\n",
              "      <td>13.327049</td>\n",
              "      <td>-10.921602</td>\n",
              "      <td>9.795615</td>\n",
              "      <td>-5.031277</td>\n",
              "      <td>7.200982</td>\n",
              "      <td>-6.754969</td>\n",
              "      <td>2.663612</td>\n",
              "      <td>-4.380430</td>\n",
              "      <td>0.414055</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.376687</td>\n",
              "      <td>0.141018</td>\n",
              "      <td>1239.337228</td>\n",
              "      <td>1659.466470</td>\n",
              "      <td>2517.618110</td>\n",
              "      <td>0.050908</td>\n",
              "      <td>-206.278431</td>\n",
              "      <td>126.627468</td>\n",
              "      <td>10.585205</td>\n",
              "      <td>43.223168</td>\n",
              "      <td>...</td>\n",
              "      <td>3.659409</td>\n",
              "      <td>-1.448481</td>\n",
              "      <td>-1.695150</td>\n",
              "      <td>-7.157464</td>\n",
              "      <td>1.171114</td>\n",
              "      <td>-6.221975</td>\n",
              "      <td>0.600703</td>\n",
              "      <td>-1.605095</td>\n",
              "      <td>-0.528774</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.337922</td>\n",
              "      <td>0.129096</td>\n",
              "      <td>2258.538419</td>\n",
              "      <td>2176.031189</td>\n",
              "      <td>4755.429578</td>\n",
              "      <td>0.112765</td>\n",
              "      <td>-95.424423</td>\n",
              "      <td>101.368652</td>\n",
              "      <td>-20.682497</td>\n",
              "      <td>48.655476</td>\n",
              "      <td>...</td>\n",
              "      <td>7.723721</td>\n",
              "      <td>-19.224149</td>\n",
              "      <td>2.856372</td>\n",
              "      <td>-9.809445</td>\n",
              "      <td>6.911756</td>\n",
              "      <td>-11.303164</td>\n",
              "      <td>8.940704</td>\n",
              "      <td>-2.959639</td>\n",
              "      <td>-0.975428</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.233230</td>\n",
              "      <td>0.197818</td>\n",
              "      <td>1247.244815</td>\n",
              "      <td>1908.052722</td>\n",
              "      <td>2620.592487</td>\n",
              "      <td>0.036904</td>\n",
              "      <td>-200.220732</td>\n",
              "      <td>116.345181</td>\n",
              "      <td>18.060785</td>\n",
              "      <td>25.288819</td>\n",
              "      <td>...</td>\n",
              "      <td>-12.015285</td>\n",
              "      <td>-17.009242</td>\n",
              "      <td>-8.115376</td>\n",
              "      <td>-11.959014</td>\n",
              "      <td>-12.617977</td>\n",
              "      <td>-14.187781</td>\n",
              "      <td>-8.204476</td>\n",
              "      <td>-15.024769</td>\n",
              "      <td>-10.322150</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.363603</td>\n",
              "      <td>0.175573</td>\n",
              "      <td>1552.481958</td>\n",
              "      <td>1747.165985</td>\n",
              "      <td>3040.514948</td>\n",
              "      <td>0.076301</td>\n",
              "      <td>-90.754394</td>\n",
              "      <td>140.459907</td>\n",
              "      <td>-29.109965</td>\n",
              "      <td>31.689014</td>\n",
              "      <td>...</td>\n",
              "      <td>5.789265</td>\n",
              "      <td>-8.905224</td>\n",
              "      <td>-1.083720</td>\n",
              "      <td>-9.218359</td>\n",
              "      <td>2.455805</td>\n",
              "      <td>-7.726901</td>\n",
              "      <td>-1.815724</td>\n",
              "      <td>-3.433434</td>\n",
              "      <td>-2.226821</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.412501</td>\n",
              "      <td>0.168358</td>\n",
              "      <td>2171.221742</td>\n",
              "      <td>1954.383785</td>\n",
              "      <td>4237.132712</td>\n",
              "      <td>0.132802</td>\n",
              "      <td>-76.717959</td>\n",
              "      <td>105.753530</td>\n",
              "      <td>-43.181755</td>\n",
              "      <td>60.945850</td>\n",
              "      <td>...</td>\n",
              "      <td>12.726959</td>\n",
              "      <td>-9.366809</td>\n",
              "      <td>1.350859</td>\n",
              "      <td>-3.609972</td>\n",
              "      <td>6.997609</td>\n",
              "      <td>-4.053008</td>\n",
              "      <td>-0.271427</td>\n",
              "      <td>-3.696092</td>\n",
              "      <td>-0.504041</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.341865</td>\n",
              "      <td>0.259714</td>\n",
              "      <td>2094.919420</td>\n",
              "      <td>2158.335963</td>\n",
              "      <td>4482.447895</td>\n",
              "      <td>0.100570</td>\n",
              "      <td>-30.094571</td>\n",
              "      <td>103.732289</td>\n",
              "      <td>-19.754240</td>\n",
              "      <td>56.404770</td>\n",
              "      <td>...</td>\n",
              "      <td>11.213472</td>\n",
              "      <td>-8.842511</td>\n",
              "      <td>9.090302</td>\n",
              "      <td>-3.579252</td>\n",
              "      <td>4.372714</td>\n",
              "      <td>-2.830807</td>\n",
              "      <td>4.725089</td>\n",
              "      <td>0.485058</td>\n",
              "      <td>1.475955</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.306451</td>\n",
              "      <td>0.113475</td>\n",
              "      <td>1156.070496</td>\n",
              "      <td>1497.668176</td>\n",
              "      <td>2170.053545</td>\n",
              "      <td>0.058613</td>\n",
              "      <td>-233.860772</td>\n",
              "      <td>136.170239</td>\n",
              "      <td>3.289490</td>\n",
              "      <td>48.931193</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.250578</td>\n",
              "      <td>3.959198</td>\n",
              "      <td>5.322555</td>\n",
              "      <td>0.812028</td>\n",
              "      <td>-1.107202</td>\n",
              "      <td>-4.556555</td>\n",
              "      <td>-2.436490</td>\n",
              "      <td>3.316913</td>\n",
              "      <td>-0.608485</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.368158</td>\n",
              "      <td>0.242434</td>\n",
              "      <td>1827.148036</td>\n",
              "      <td>1898.717124</td>\n",
              "      <td>3743.619030</td>\n",
              "      <td>0.094039</td>\n",
              "      <td>-54.727689</td>\n",
              "      <td>119.473195</td>\n",
              "      <td>-34.845583</td>\n",
              "      <td>37.528793</td>\n",
              "      <td>...</td>\n",
              "      <td>11.535462</td>\n",
              "      <td>-6.421256</td>\n",
              "      <td>1.788087</td>\n",
              "      <td>-5.874569</td>\n",
              "      <td>0.370939</td>\n",
              "      <td>-9.066488</td>\n",
              "      <td>-2.021232</td>\n",
              "      <td>-5.417520</td>\n",
              "      <td>0.024244</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.304322</td>\n",
              "      <td>0.081461</td>\n",
              "      <td>1455.001672</td>\n",
              "      <td>1825.885415</td>\n",
              "      <td>3009.856800</td>\n",
              "      <td>0.061351</td>\n",
              "      <td>-233.763613</td>\n",
              "      <td>120.673510</td>\n",
              "      <td>-3.171085</td>\n",
              "      <td>39.540994</td>\n",
              "      <td>...</td>\n",
              "      <td>2.537329</td>\n",
              "      <td>-1.240455</td>\n",
              "      <td>8.439246</td>\n",
              "      <td>-0.210692</td>\n",
              "      <td>-3.906120</td>\n",
              "      <td>-4.478783</td>\n",
              "      <td>-0.012437</td>\n",
              "      <td>1.293614</td>\n",
              "      <td>-2.084796</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.336454</td>\n",
              "      <td>0.112245</td>\n",
              "      <td>2013.382437</td>\n",
              "      <td>2310.305516</td>\n",
              "      <td>4849.495676</td>\n",
              "      <td>0.075345</td>\n",
              "      <td>-149.951701</td>\n",
              "      <td>93.629480</td>\n",
              "      <td>6.343454</td>\n",
              "      <td>71.511946</td>\n",
              "      <td>...</td>\n",
              "      <td>5.430453</td>\n",
              "      <td>-7.462271</td>\n",
              "      <td>-4.335877</td>\n",
              "      <td>-12.401641</td>\n",
              "      <td>9.624600</td>\n",
              "      <td>-5.014185</td>\n",
              "      <td>-3.704146</td>\n",
              "      <td>2.342511</td>\n",
              "      <td>4.161077</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.424284</td>\n",
              "      <td>0.175920</td>\n",
              "      <td>1886.683619</td>\n",
              "      <td>1913.224623</td>\n",
              "      <td>3828.101852</td>\n",
              "      <td>0.089924</td>\n",
              "      <td>-92.747981</td>\n",
              "      <td>115.339527</td>\n",
              "      <td>-35.064272</td>\n",
              "      <td>57.861557</td>\n",
              "      <td>...</td>\n",
              "      <td>7.277174</td>\n",
              "      <td>-10.205973</td>\n",
              "      <td>1.332175</td>\n",
              "      <td>-4.105897</td>\n",
              "      <td>0.978302</td>\n",
              "      <td>-6.553787</td>\n",
              "      <td>-0.682512</td>\n",
              "      <td>-2.126826</td>\n",
              "      <td>-1.518243</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.291308</td>\n",
              "      <td>0.141796</td>\n",
              "      <td>1459.078483</td>\n",
              "      <td>1388.913312</td>\n",
              "      <td>2795.616429</td>\n",
              "      <td>0.073028</td>\n",
              "      <td>-190.149470</td>\n",
              "      <td>130.296951</td>\n",
              "      <td>-36.344138</td>\n",
              "      <td>33.013050</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.125678</td>\n",
              "      <td>-6.593118</td>\n",
              "      <td>-9.942268</td>\n",
              "      <td>-6.537224</td>\n",
              "      <td>-10.064755</td>\n",
              "      <td>-10.912171</td>\n",
              "      <td>-6.972479</td>\n",
              "      <td>-3.449033</td>\n",
              "      <td>-6.495511</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.377688</td>\n",
              "      <td>0.131890</td>\n",
              "      <td>1613.315725</td>\n",
              "      <td>1972.202261</td>\n",
              "      <td>3470.404015</td>\n",
              "      <td>0.058236</td>\n",
              "      <td>-177.490761</td>\n",
              "      <td>115.346103</td>\n",
              "      <td>9.969873</td>\n",
              "      <td>54.051329</td>\n",
              "      <td>...</td>\n",
              "      <td>1.384242</td>\n",
              "      <td>-5.837235</td>\n",
              "      <td>5.016452</td>\n",
              "      <td>-0.748612</td>\n",
              "      <td>5.065468</td>\n",
              "      <td>-5.084879</td>\n",
              "      <td>-2.795500</td>\n",
              "      <td>2.435524</td>\n",
              "      <td>-5.375209</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0.276317</td>\n",
              "      <td>0.101234</td>\n",
              "      <td>1309.424564</td>\n",
              "      <td>1882.919367</td>\n",
              "      <td>2764.099953</td>\n",
              "      <td>0.039393</td>\n",
              "      <td>-288.801713</td>\n",
              "      <td>105.899617</td>\n",
              "      <td>18.791320</td>\n",
              "      <td>23.688490</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.665247</td>\n",
              "      <td>-11.718800</td>\n",
              "      <td>-2.952338</td>\n",
              "      <td>-7.380500</td>\n",
              "      <td>-15.693589</td>\n",
              "      <td>-10.958548</td>\n",
              "      <td>-10.877396</td>\n",
              "      <td>-18.504188</td>\n",
              "      <td>-19.110741</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0.330238</td>\n",
              "      <td>0.096326</td>\n",
              "      <td>2839.453119</td>\n",
              "      <td>2444.144011</td>\n",
              "      <td>5711.257131</td>\n",
              "      <td>0.154356</td>\n",
              "      <td>-129.086269</td>\n",
              "      <td>72.103889</td>\n",
              "      <td>-7.749275</td>\n",
              "      <td>49.251972</td>\n",
              "      <td>...</td>\n",
              "      <td>7.106394</td>\n",
              "      <td>-18.009485</td>\n",
              "      <td>2.922717</td>\n",
              "      <td>-14.476794</td>\n",
              "      <td>4.054748</td>\n",
              "      <td>-14.530605</td>\n",
              "      <td>7.253355</td>\n",
              "      <td>-8.201505</td>\n",
              "      <td>-2.006035</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>0.306928</td>\n",
              "      <td>0.103914</td>\n",
              "      <td>2595.538006</td>\n",
              "      <td>2519.296119</td>\n",
              "      <td>5660.407439</td>\n",
              "      <td>0.129246</td>\n",
              "      <td>-118.665231</td>\n",
              "      <td>87.600960</td>\n",
              "      <td>6.563414</td>\n",
              "      <td>45.094287</td>\n",
              "      <td>...</td>\n",
              "      <td>3.978413</td>\n",
              "      <td>-27.542309</td>\n",
              "      <td>3.050489</td>\n",
              "      <td>-15.946974</td>\n",
              "      <td>10.868560</td>\n",
              "      <td>-12.646966</td>\n",
              "      <td>2.820748</td>\n",
              "      <td>-13.337095</td>\n",
              "      <td>-4.375539</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>0.280714</td>\n",
              "      <td>0.102002</td>\n",
              "      <td>1210.197917</td>\n",
              "      <td>1497.822809</td>\n",
              "      <td>2522.101416</td>\n",
              "      <td>0.052483</td>\n",
              "      <td>-227.264777</td>\n",
              "      <td>137.762370</td>\n",
              "      <td>-14.500459</td>\n",
              "      <td>63.556877</td>\n",
              "      <td>...</td>\n",
              "      <td>-9.432815</td>\n",
              "      <td>-10.916915</td>\n",
              "      <td>3.569436</td>\n",
              "      <td>4.139583</td>\n",
              "      <td>0.092946</td>\n",
              "      <td>-2.972928</td>\n",
              "      <td>-1.376940</td>\n",
              "      <td>7.550499</td>\n",
              "      <td>-3.032518</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>0.380260</td>\n",
              "      <td>0.248262</td>\n",
              "      <td>2116.942959</td>\n",
              "      <td>1956.611056</td>\n",
              "      <td>4196.107960</td>\n",
              "      <td>0.127272</td>\n",
              "      <td>-26.929785</td>\n",
              "      <td>107.334008</td>\n",
              "      <td>-46.809993</td>\n",
              "      <td>40.932634</td>\n",
              "      <td>...</td>\n",
              "      <td>14.336612</td>\n",
              "      <td>-13.821769</td>\n",
              "      <td>7.562789</td>\n",
              "      <td>-6.181372</td>\n",
              "      <td>0.330165</td>\n",
              "      <td>-6.829571</td>\n",
              "      <td>0.965922</td>\n",
              "      <td>-7.570825</td>\n",
              "      <td>2.918987</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0.302096</td>\n",
              "      <td>0.093282</td>\n",
              "      <td>1088.698166</td>\n",
              "      <td>1410.947954</td>\n",
              "      <td>2134.412094</td>\n",
              "      <td>0.048324</td>\n",
              "      <td>-245.756428</td>\n",
              "      <td>140.485928</td>\n",
              "      <td>-2.764772</td>\n",
              "      <td>60.436207</td>\n",
              "      <td>...</td>\n",
              "      <td>-4.008893</td>\n",
              "      <td>1.608254</td>\n",
              "      <td>5.899379</td>\n",
              "      <td>-3.022785</td>\n",
              "      <td>-4.772990</td>\n",
              "      <td>-3.025787</td>\n",
              "      <td>-1.993939</td>\n",
              "      <td>-0.055459</td>\n",
              "      <td>-3.975350</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>0.387851</td>\n",
              "      <td>0.102582</td>\n",
              "      <td>1912.506881</td>\n",
              "      <td>2361.474653</td>\n",
              "      <td>4776.862782</td>\n",
              "      <td>0.058426</td>\n",
              "      <td>-182.638291</td>\n",
              "      <td>90.676797</td>\n",
              "      <td>14.119085</td>\n",
              "      <td>67.549826</td>\n",
              "      <td>...</td>\n",
              "      <td>5.811708</td>\n",
              "      <td>-5.149533</td>\n",
              "      <td>0.192984</td>\n",
              "      <td>-14.480762</td>\n",
              "      <td>6.862884</td>\n",
              "      <td>-4.442362</td>\n",
              "      <td>-2.986889</td>\n",
              "      <td>-4.816248</td>\n",
              "      <td>5.400325</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>0.391059</td>\n",
              "      <td>0.137728</td>\n",
              "      <td>1811.076084</td>\n",
              "      <td>2052.332563</td>\n",
              "      <td>3927.809582</td>\n",
              "      <td>0.075480</td>\n",
              "      <td>-145.434568</td>\n",
              "      <td>102.829023</td>\n",
              "      <td>-12.517677</td>\n",
              "      <td>56.993472</td>\n",
              "      <td>...</td>\n",
              "      <td>7.457218</td>\n",
              "      <td>-10.470444</td>\n",
              "      <td>-2.360483</td>\n",
              "      <td>-6.783623</td>\n",
              "      <td>2.671134</td>\n",
              "      <td>-4.760879</td>\n",
              "      <td>-0.949005</td>\n",
              "      <td>0.024832</td>\n",
              "      <td>-2.005315</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>0.307921</td>\n",
              "      <td>0.131785</td>\n",
              "      <td>1451.754147</td>\n",
              "      <td>1577.369917</td>\n",
              "      <td>2955.348796</td>\n",
              "      <td>0.061435</td>\n",
              "      <td>-179.395447</td>\n",
              "      <td>136.459244</td>\n",
              "      <td>-26.656359</td>\n",
              "      <td>39.988027</td>\n",
              "      <td>...</td>\n",
              "      <td>-6.954827</td>\n",
              "      <td>-3.544535</td>\n",
              "      <td>-8.051242</td>\n",
              "      <td>-8.959537</td>\n",
              "      <td>-8.424337</td>\n",
              "      <td>-10.558885</td>\n",
              "      <td>-10.788159</td>\n",
              "      <td>-4.693749</td>\n",
              "      <td>-8.638613</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>0.421922</td>\n",
              "      <td>0.099405</td>\n",
              "      <td>991.164417</td>\n",
              "      <td>1396.523686</td>\n",
              "      <td>1943.121584</td>\n",
              "      <td>0.036053</td>\n",
              "      <td>-236.360988</td>\n",
              "      <td>161.697416</td>\n",
              "      <td>-1.135944</td>\n",
              "      <td>27.271118</td>\n",
              "      <td>...</td>\n",
              "      <td>5.509446</td>\n",
              "      <td>-3.713326</td>\n",
              "      <td>-0.895496</td>\n",
              "      <td>-4.900801</td>\n",
              "      <td>-2.866825</td>\n",
              "      <td>-3.761342</td>\n",
              "      <td>-3.345708</td>\n",
              "      <td>-2.410350</td>\n",
              "      <td>-3.780145</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>0.260669</td>\n",
              "      <td>0.133165</td>\n",
              "      <td>1430.582003</td>\n",
              "      <td>2075.602343</td>\n",
              "      <td>3246.730367</td>\n",
              "      <td>0.041970</td>\n",
              "      <td>-239.010915</td>\n",
              "      <td>108.669218</td>\n",
              "      <td>34.149350</td>\n",
              "      <td>30.242794</td>\n",
              "      <td>...</td>\n",
              "      <td>-11.258263</td>\n",
              "      <td>-16.484101</td>\n",
              "      <td>-7.636357</td>\n",
              "      <td>-12.796291</td>\n",
              "      <td>-15.352031</td>\n",
              "      <td>-13.732282</td>\n",
              "      <td>-7.400161</td>\n",
              "      <td>-10.083954</td>\n",
              "      <td>-13.285140</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>0.311780</td>\n",
              "      <td>0.106240</td>\n",
              "      <td>2279.895453</td>\n",
              "      <td>2119.726057</td>\n",
              "      <td>4732.338051</td>\n",
              "      <td>0.117149</td>\n",
              "      <td>-144.967922</td>\n",
              "      <td>95.726477</td>\n",
              "      <td>-21.598648</td>\n",
              "      <td>49.625746</td>\n",
              "      <td>...</td>\n",
              "      <td>6.365179</td>\n",
              "      <td>-21.083879</td>\n",
              "      <td>2.452764</td>\n",
              "      <td>-9.533539</td>\n",
              "      <td>-1.422650</td>\n",
              "      <td>-9.327806</td>\n",
              "      <td>5.136750</td>\n",
              "      <td>-8.103219</td>\n",
              "      <td>-2.445027</td>\n",
              "      <td>blues</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>970</th>\n",
              "      <td>0.346682</td>\n",
              "      <td>0.065505</td>\n",
              "      <td>2632.695048</td>\n",
              "      <td>2550.454193</td>\n",
              "      <td>5310.709554</td>\n",
              "      <td>0.132433</td>\n",
              "      <td>-156.208457</td>\n",
              "      <td>75.611329</td>\n",
              "      <td>-16.509524</td>\n",
              "      <td>16.342189</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.213438</td>\n",
              "      <td>-4.643326</td>\n",
              "      <td>-5.409220</td>\n",
              "      <td>-4.687138</td>\n",
              "      <td>-7.082285</td>\n",
              "      <td>-3.890626</td>\n",
              "      <td>1.386993</td>\n",
              "      <td>-2.007640</td>\n",
              "      <td>-4.728466</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>971</th>\n",
              "      <td>0.311549</td>\n",
              "      <td>0.144370</td>\n",
              "      <td>1651.933420</td>\n",
              "      <td>2104.035579</td>\n",
              "      <td>3456.345767</td>\n",
              "      <td>0.068930</td>\n",
              "      <td>-118.353043</td>\n",
              "      <td>130.243240</td>\n",
              "      <td>-3.079491</td>\n",
              "      <td>15.738111</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.856707</td>\n",
              "      <td>-1.615534</td>\n",
              "      <td>-0.204496</td>\n",
              "      <td>0.730593</td>\n",
              "      <td>2.011088</td>\n",
              "      <td>2.075595</td>\n",
              "      <td>4.156058</td>\n",
              "      <td>3.158420</td>\n",
              "      <td>2.257767</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>972</th>\n",
              "      <td>0.343655</td>\n",
              "      <td>0.082329</td>\n",
              "      <td>2336.147977</td>\n",
              "      <td>2099.296471</td>\n",
              "      <td>4501.456114</td>\n",
              "      <td>0.114202</td>\n",
              "      <td>-174.924413</td>\n",
              "      <td>90.887006</td>\n",
              "      <td>-18.700005</td>\n",
              "      <td>41.627803</td>\n",
              "      <td>...</td>\n",
              "      <td>6.745465</td>\n",
              "      <td>-10.387247</td>\n",
              "      <td>7.149801</td>\n",
              "      <td>-5.795862</td>\n",
              "      <td>0.804737</td>\n",
              "      <td>-8.136757</td>\n",
              "      <td>-5.714881</td>\n",
              "      <td>-3.366214</td>\n",
              "      <td>-0.425919</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>973</th>\n",
              "      <td>0.378724</td>\n",
              "      <td>0.101713</td>\n",
              "      <td>2116.115588</td>\n",
              "      <td>2245.391698</td>\n",
              "      <td>4689.696642</td>\n",
              "      <td>0.092801</td>\n",
              "      <td>-119.148458</td>\n",
              "      <td>107.425523</td>\n",
              "      <td>-10.965338</td>\n",
              "      <td>58.549089</td>\n",
              "      <td>...</td>\n",
              "      <td>11.861114</td>\n",
              "      <td>-12.177572</td>\n",
              "      <td>5.230794</td>\n",
              "      <td>-6.164438</td>\n",
              "      <td>4.245324</td>\n",
              "      <td>-8.042236</td>\n",
              "      <td>3.521798</td>\n",
              "      <td>-7.679827</td>\n",
              "      <td>-1.352536</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>974</th>\n",
              "      <td>0.392898</td>\n",
              "      <td>0.161538</td>\n",
              "      <td>2157.822776</td>\n",
              "      <td>2060.259516</td>\n",
              "      <td>4244.324335</td>\n",
              "      <td>0.121604</td>\n",
              "      <td>-55.298638</td>\n",
              "      <td>114.435895</td>\n",
              "      <td>-34.063799</td>\n",
              "      <td>37.979473</td>\n",
              "      <td>...</td>\n",
              "      <td>6.550629</td>\n",
              "      <td>-8.267243</td>\n",
              "      <td>-2.256247</td>\n",
              "      <td>-11.608407</td>\n",
              "      <td>2.496105</td>\n",
              "      <td>-10.946155</td>\n",
              "      <td>0.705372</td>\n",
              "      <td>-0.678453</td>\n",
              "      <td>-0.066466</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>975</th>\n",
              "      <td>0.368029</td>\n",
              "      <td>0.054137</td>\n",
              "      <td>2512.007842</td>\n",
              "      <td>2245.202379</td>\n",
              "      <td>5130.377311</td>\n",
              "      <td>0.139141</td>\n",
              "      <td>-202.200499</td>\n",
              "      <td>75.219640</td>\n",
              "      <td>-14.218629</td>\n",
              "      <td>66.319654</td>\n",
              "      <td>...</td>\n",
              "      <td>0.484376</td>\n",
              "      <td>-4.501988</td>\n",
              "      <td>-5.359022</td>\n",
              "      <td>-8.969885</td>\n",
              "      <td>-0.044707</td>\n",
              "      <td>-8.038883</td>\n",
              "      <td>-0.518056</td>\n",
              "      <td>-6.804290</td>\n",
              "      <td>-8.445807</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>976</th>\n",
              "      <td>0.299721</td>\n",
              "      <td>0.088379</td>\n",
              "      <td>2072.220982</td>\n",
              "      <td>2739.519270</td>\n",
              "      <td>4688.438316</td>\n",
              "      <td>0.069091</td>\n",
              "      <td>-193.655171</td>\n",
              "      <td>98.427308</td>\n",
              "      <td>44.088969</td>\n",
              "      <td>23.794480</td>\n",
              "      <td>...</td>\n",
              "      <td>-4.842922</td>\n",
              "      <td>-1.374321</td>\n",
              "      <td>-1.272271</td>\n",
              "      <td>3.210966</td>\n",
              "      <td>3.685898</td>\n",
              "      <td>1.384910</td>\n",
              "      <td>2.711050</td>\n",
              "      <td>1.697010</td>\n",
              "      <td>-1.807093</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>977</th>\n",
              "      <td>0.390470</td>\n",
              "      <td>0.096509</td>\n",
              "      <td>2944.965888</td>\n",
              "      <td>2831.604536</td>\n",
              "      <td>6334.595029</td>\n",
              "      <td>0.114960</td>\n",
              "      <td>-131.414557</td>\n",
              "      <td>67.721561</td>\n",
              "      <td>32.903199</td>\n",
              "      <td>34.592520</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.330885</td>\n",
              "      <td>-6.280547</td>\n",
              "      <td>-0.229388</td>\n",
              "      <td>-1.972573</td>\n",
              "      <td>-1.891688</td>\n",
              "      <td>-0.878693</td>\n",
              "      <td>0.952147</td>\n",
              "      <td>-1.538309</td>\n",
              "      <td>-1.170599</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>978</th>\n",
              "      <td>0.416485</td>\n",
              "      <td>0.106913</td>\n",
              "      <td>2471.235787</td>\n",
              "      <td>2102.216351</td>\n",
              "      <td>4687.104991</td>\n",
              "      <td>0.150945</td>\n",
              "      <td>-70.087356</td>\n",
              "      <td>94.182758</td>\n",
              "      <td>-50.325740</td>\n",
              "      <td>46.961324</td>\n",
              "      <td>...</td>\n",
              "      <td>12.147802</td>\n",
              "      <td>-14.767656</td>\n",
              "      <td>4.903812</td>\n",
              "      <td>-13.625083</td>\n",
              "      <td>0.829248</td>\n",
              "      <td>-15.057697</td>\n",
              "      <td>-1.604237</td>\n",
              "      <td>-16.088312</td>\n",
              "      <td>-2.187147</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>979</th>\n",
              "      <td>0.372834</td>\n",
              "      <td>0.208743</td>\n",
              "      <td>1345.850763</td>\n",
              "      <td>1841.748033</td>\n",
              "      <td>2939.265560</td>\n",
              "      <td>0.041099</td>\n",
              "      <td>-127.946876</td>\n",
              "      <td>134.443879</td>\n",
              "      <td>1.027332</td>\n",
              "      <td>54.440979</td>\n",
              "      <td>...</td>\n",
              "      <td>11.043714</td>\n",
              "      <td>-8.385375</td>\n",
              "      <td>2.111019</td>\n",
              "      <td>-6.338260</td>\n",
              "      <td>0.997383</td>\n",
              "      <td>-5.325869</td>\n",
              "      <td>-0.842192</td>\n",
              "      <td>-4.665996</td>\n",
              "      <td>-4.787677</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>980</th>\n",
              "      <td>0.431615</td>\n",
              "      <td>0.147241</td>\n",
              "      <td>1711.186390</td>\n",
              "      <td>2248.251429</td>\n",
              "      <td>3614.611476</td>\n",
              "      <td>0.066574</td>\n",
              "      <td>-91.872232</td>\n",
              "      <td>130.007313</td>\n",
              "      <td>1.789456</td>\n",
              "      <td>11.658164</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.546759</td>\n",
              "      <td>0.405705</td>\n",
              "      <td>-1.650666</td>\n",
              "      <td>-4.570737</td>\n",
              "      <td>-2.974664</td>\n",
              "      <td>-4.280897</td>\n",
              "      <td>-2.687636</td>\n",
              "      <td>-3.550073</td>\n",
              "      <td>-1.451699</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>981</th>\n",
              "      <td>0.361250</td>\n",
              "      <td>0.097027</td>\n",
              "      <td>1561.095692</td>\n",
              "      <td>1568.306848</td>\n",
              "      <td>3242.738725</td>\n",
              "      <td>0.078965</td>\n",
              "      <td>-172.607218</td>\n",
              "      <td>142.813611</td>\n",
              "      <td>-55.819378</td>\n",
              "      <td>79.356209</td>\n",
              "      <td>...</td>\n",
              "      <td>-11.247699</td>\n",
              "      <td>-5.668376</td>\n",
              "      <td>-11.290978</td>\n",
              "      <td>-7.678794</td>\n",
              "      <td>-4.271889</td>\n",
              "      <td>-11.279469</td>\n",
              "      <td>-7.820529</td>\n",
              "      <td>-7.719027</td>\n",
              "      <td>-8.152873</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>982</th>\n",
              "      <td>0.380442</td>\n",
              "      <td>0.053541</td>\n",
              "      <td>1935.576765</td>\n",
              "      <td>2007.518622</td>\n",
              "      <td>3983.150914</td>\n",
              "      <td>0.083594</td>\n",
              "      <td>-256.558136</td>\n",
              "      <td>103.162150</td>\n",
              "      <td>-8.459723</td>\n",
              "      <td>48.594049</td>\n",
              "      <td>...</td>\n",
              "      <td>8.240794</td>\n",
              "      <td>-6.192268</td>\n",
              "      <td>3.438439</td>\n",
              "      <td>-3.646010</td>\n",
              "      <td>1.694155</td>\n",
              "      <td>-5.411558</td>\n",
              "      <td>-3.249127</td>\n",
              "      <td>-3.868790</td>\n",
              "      <td>-1.028209</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>983</th>\n",
              "      <td>0.382454</td>\n",
              "      <td>0.093336</td>\n",
              "      <td>2975.976870</td>\n",
              "      <td>2423.245774</td>\n",
              "      <td>5926.697495</td>\n",
              "      <td>0.183736</td>\n",
              "      <td>-95.444482</td>\n",
              "      <td>78.316800</td>\n",
              "      <td>-26.214906</td>\n",
              "      <td>44.235635</td>\n",
              "      <td>...</td>\n",
              "      <td>13.879837</td>\n",
              "      <td>-12.619565</td>\n",
              "      <td>6.245220</td>\n",
              "      <td>-7.652916</td>\n",
              "      <td>7.402210</td>\n",
              "      <td>-9.409118</td>\n",
              "      <td>9.650029</td>\n",
              "      <td>-3.771893</td>\n",
              "      <td>1.067510</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>984</th>\n",
              "      <td>0.398055</td>\n",
              "      <td>0.152507</td>\n",
              "      <td>2188.376105</td>\n",
              "      <td>2120.348371</td>\n",
              "      <td>4433.073194</td>\n",
              "      <td>0.117590</td>\n",
              "      <td>-56.912154</td>\n",
              "      <td>115.195759</td>\n",
              "      <td>-30.433732</td>\n",
              "      <td>37.195583</td>\n",
              "      <td>...</td>\n",
              "      <td>6.744223</td>\n",
              "      <td>-10.743413</td>\n",
              "      <td>0.814011</td>\n",
              "      <td>-10.161297</td>\n",
              "      <td>3.680639</td>\n",
              "      <td>-8.554655</td>\n",
              "      <td>-0.911825</td>\n",
              "      <td>-2.523441</td>\n",
              "      <td>-1.976842</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>985</th>\n",
              "      <td>0.454292</td>\n",
              "      <td>0.160989</td>\n",
              "      <td>2025.045157</td>\n",
              "      <td>2215.382497</td>\n",
              "      <td>4571.205692</td>\n",
              "      <td>0.090808</td>\n",
              "      <td>-79.809090</td>\n",
              "      <td>109.923227</td>\n",
              "      <td>-17.112701</td>\n",
              "      <td>47.178773</td>\n",
              "      <td>...</td>\n",
              "      <td>13.030406</td>\n",
              "      <td>-11.579700</td>\n",
              "      <td>9.104020</td>\n",
              "      <td>-5.953490</td>\n",
              "      <td>4.914147</td>\n",
              "      <td>-8.710204</td>\n",
              "      <td>3.701960</td>\n",
              "      <td>-5.099721</td>\n",
              "      <td>2.622137</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>986</th>\n",
              "      <td>0.368837</td>\n",
              "      <td>0.161726</td>\n",
              "      <td>3030.398970</td>\n",
              "      <td>3055.334539</td>\n",
              "      <td>6731.700961</td>\n",
              "      <td>0.120808</td>\n",
              "      <td>-66.322124</td>\n",
              "      <td>66.788219</td>\n",
              "      <td>25.188441</td>\n",
              "      <td>26.308834</td>\n",
              "      <td>...</td>\n",
              "      <td>5.041130</td>\n",
              "      <td>-1.938340</td>\n",
              "      <td>-3.073809</td>\n",
              "      <td>0.385766</td>\n",
              "      <td>-0.774105</td>\n",
              "      <td>3.723454</td>\n",
              "      <td>2.405234</td>\n",
              "      <td>0.206681</td>\n",
              "      <td>-1.696351</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987</th>\n",
              "      <td>0.387525</td>\n",
              "      <td>0.129162</td>\n",
              "      <td>1995.882452</td>\n",
              "      <td>2097.045347</td>\n",
              "      <td>4227.074439</td>\n",
              "      <td>0.090195</td>\n",
              "      <td>-116.608029</td>\n",
              "      <td>109.269151</td>\n",
              "      <td>-23.147901</td>\n",
              "      <td>40.691250</td>\n",
              "      <td>...</td>\n",
              "      <td>8.506658</td>\n",
              "      <td>-11.579919</td>\n",
              "      <td>2.189880</td>\n",
              "      <td>-6.195774</td>\n",
              "      <td>2.012122</td>\n",
              "      <td>-7.948865</td>\n",
              "      <td>2.085096</td>\n",
              "      <td>-2.391399</td>\n",
              "      <td>-1.533828</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>988</th>\n",
              "      <td>0.421082</td>\n",
              "      <td>0.191175</td>\n",
              "      <td>2789.712144</td>\n",
              "      <td>2648.716877</td>\n",
              "      <td>5836.164710</td>\n",
              "      <td>0.135008</td>\n",
              "      <td>-28.061826</td>\n",
              "      <td>65.631668</td>\n",
              "      <td>-7.352339</td>\n",
              "      <td>33.593664</td>\n",
              "      <td>...</td>\n",
              "      <td>3.189335</td>\n",
              "      <td>-1.685570</td>\n",
              "      <td>-0.161785</td>\n",
              "      <td>-1.691113</td>\n",
              "      <td>1.850430</td>\n",
              "      <td>-3.969524</td>\n",
              "      <td>-1.626862</td>\n",
              "      <td>-6.389011</td>\n",
              "      <td>-3.863663</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>989</th>\n",
              "      <td>0.395158</td>\n",
              "      <td>0.114715</td>\n",
              "      <td>2294.252374</td>\n",
              "      <td>2104.223156</td>\n",
              "      <td>4730.329730</td>\n",
              "      <td>0.129121</td>\n",
              "      <td>-95.257017</td>\n",
              "      <td>103.808512</td>\n",
              "      <td>-37.007912</td>\n",
              "      <td>52.687230</td>\n",
              "      <td>...</td>\n",
              "      <td>10.179409</td>\n",
              "      <td>-8.778073</td>\n",
              "      <td>1.845568</td>\n",
              "      <td>-3.941336</td>\n",
              "      <td>2.167971</td>\n",
              "      <td>-6.688428</td>\n",
              "      <td>5.102159</td>\n",
              "      <td>-9.692908</td>\n",
              "      <td>-3.963059</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>990</th>\n",
              "      <td>0.398653</td>\n",
              "      <td>0.076452</td>\n",
              "      <td>2006.051164</td>\n",
              "      <td>2068.327905</td>\n",
              "      <td>4147.374921</td>\n",
              "      <td>0.097659</td>\n",
              "      <td>-142.424217</td>\n",
              "      <td>116.219780</td>\n",
              "      <td>-32.177077</td>\n",
              "      <td>49.122974</td>\n",
              "      <td>...</td>\n",
              "      <td>14.065346</td>\n",
              "      <td>-16.394693</td>\n",
              "      <td>4.152589</td>\n",
              "      <td>-4.350760</td>\n",
              "      <td>3.736455</td>\n",
              "      <td>-10.845639</td>\n",
              "      <td>1.875218</td>\n",
              "      <td>-7.459579</td>\n",
              "      <td>-2.802677</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>991</th>\n",
              "      <td>0.390935</td>\n",
              "      <td>0.076317</td>\n",
              "      <td>2521.472177</td>\n",
              "      <td>2133.427221</td>\n",
              "      <td>4830.554124</td>\n",
              "      <td>0.146325</td>\n",
              "      <td>-160.093157</td>\n",
              "      <td>88.722212</td>\n",
              "      <td>-35.485229</td>\n",
              "      <td>47.489608</td>\n",
              "      <td>...</td>\n",
              "      <td>7.699515</td>\n",
              "      <td>-9.859076</td>\n",
              "      <td>6.992622</td>\n",
              "      <td>-10.128288</td>\n",
              "      <td>3.059626</td>\n",
              "      <td>-7.949795</td>\n",
              "      <td>0.701906</td>\n",
              "      <td>-4.932690</td>\n",
              "      <td>-2.615138</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>992</th>\n",
              "      <td>0.408572</td>\n",
              "      <td>0.126917</td>\n",
              "      <td>2301.761135</td>\n",
              "      <td>2355.225614</td>\n",
              "      <td>5092.235875</td>\n",
              "      <td>0.111545</td>\n",
              "      <td>-113.668423</td>\n",
              "      <td>94.925152</td>\n",
              "      <td>-4.106270</td>\n",
              "      <td>51.771238</td>\n",
              "      <td>...</td>\n",
              "      <td>9.968235</td>\n",
              "      <td>-13.467302</td>\n",
              "      <td>7.566163</td>\n",
              "      <td>-7.262604</td>\n",
              "      <td>3.633977</td>\n",
              "      <td>-8.458357</td>\n",
              "      <td>0.392575</td>\n",
              "      <td>-9.224973</td>\n",
              "      <td>-0.279239</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>993</th>\n",
              "      <td>0.405077</td>\n",
              "      <td>0.156601</td>\n",
              "      <td>2320.615817</td>\n",
              "      <td>2045.001158</td>\n",
              "      <td>4467.031322</td>\n",
              "      <td>0.143449</td>\n",
              "      <td>-52.466411</td>\n",
              "      <td>99.688774</td>\n",
              "      <td>-47.380670</td>\n",
              "      <td>47.017274</td>\n",
              "      <td>...</td>\n",
              "      <td>5.701709</td>\n",
              "      <td>-12.885859</td>\n",
              "      <td>1.191493</td>\n",
              "      <td>-12.413249</td>\n",
              "      <td>0.367439</td>\n",
              "      <td>-9.147175</td>\n",
              "      <td>1.585240</td>\n",
              "      <td>-4.120022</td>\n",
              "      <td>0.308322</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>994</th>\n",
              "      <td>0.398191</td>\n",
              "      <td>0.153522</td>\n",
              "      <td>1857.863116</td>\n",
              "      <td>2182.366383</td>\n",
              "      <td>4191.541321</td>\n",
              "      <td>0.071703</td>\n",
              "      <td>-108.958561</td>\n",
              "      <td>114.951785</td>\n",
              "      <td>-5.195616</td>\n",
              "      <td>46.204894</td>\n",
              "      <td>...</td>\n",
              "      <td>8.585697</td>\n",
              "      <td>-11.404049</td>\n",
              "      <td>1.881615</td>\n",
              "      <td>-10.552552</td>\n",
              "      <td>-0.261123</td>\n",
              "      <td>-11.797401</td>\n",
              "      <td>-6.503724</td>\n",
              "      <td>-4.305110</td>\n",
              "      <td>-2.741368</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.402190</td>\n",
              "      <td>0.160759</td>\n",
              "      <td>2807.320920</td>\n",
              "      <td>2688.491155</td>\n",
              "      <td>5678.498996</td>\n",
              "      <td>0.148372</td>\n",
              "      <td>-35.371326</td>\n",
              "      <td>73.674565</td>\n",
              "      <td>-20.210725</td>\n",
              "      <td>17.165273</td>\n",
              "      <td>...</td>\n",
              "      <td>-1.314756</td>\n",
              "      <td>-2.047162</td>\n",
              "      <td>2.530268</td>\n",
              "      <td>3.606460</td>\n",
              "      <td>-3.538504</td>\n",
              "      <td>-4.790396</td>\n",
              "      <td>-2.500228</td>\n",
              "      <td>-3.977557</td>\n",
              "      <td>-0.824020</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>0.358195</td>\n",
              "      <td>0.054461</td>\n",
              "      <td>1609.442919</td>\n",
              "      <td>1797.065098</td>\n",
              "      <td>3246.280370</td>\n",
              "      <td>0.076290</td>\n",
              "      <td>-235.189364</td>\n",
              "      <td>123.888552</td>\n",
              "      <td>-22.536185</td>\n",
              "      <td>52.915518</td>\n",
              "      <td>...</td>\n",
              "      <td>10.066771</td>\n",
              "      <td>-15.019588</td>\n",
              "      <td>3.110469</td>\n",
              "      <td>-7.127754</td>\n",
              "      <td>1.784515</td>\n",
              "      <td>-7.070406</td>\n",
              "      <td>0.023643</td>\n",
              "      <td>-2.022035</td>\n",
              "      <td>1.158525</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0.343350</td>\n",
              "      <td>0.105238</td>\n",
              "      <td>1610.278102</td>\n",
              "      <td>1816.224170</td>\n",
              "      <td>3381.487886</td>\n",
              "      <td>0.073293</td>\n",
              "      <td>-156.250147</td>\n",
              "      <td>130.760078</td>\n",
              "      <td>-25.253056</td>\n",
              "      <td>43.494458</td>\n",
              "      <td>...</td>\n",
              "      <td>5.778145</td>\n",
              "      <td>-7.041090</td>\n",
              "      <td>-1.881053</td>\n",
              "      <td>-7.691828</td>\n",
              "      <td>3.001449</td>\n",
              "      <td>-6.443003</td>\n",
              "      <td>-1.304332</td>\n",
              "      <td>-7.829961</td>\n",
              "      <td>-4.153138</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.362349</td>\n",
              "      <td>0.083888</td>\n",
              "      <td>1398.672358</td>\n",
              "      <td>1818.148469</td>\n",
              "      <td>3014.740104</td>\n",
              "      <td>0.048731</td>\n",
              "      <td>-224.972299</td>\n",
              "      <td>123.656889</td>\n",
              "      <td>-9.754534</td>\n",
              "      <td>56.595062</td>\n",
              "      <td>...</td>\n",
              "      <td>7.683082</td>\n",
              "      <td>-10.071786</td>\n",
              "      <td>-0.255097</td>\n",
              "      <td>-5.276486</td>\n",
              "      <td>-2.816289</td>\n",
              "      <td>-4.416438</td>\n",
              "      <td>1.558265</td>\n",
              "      <td>-5.043121</td>\n",
              "      <td>-3.585596</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>0.408421</td>\n",
              "      <td>0.089528</td>\n",
              "      <td>2591.111736</td>\n",
              "      <td>2078.674826</td>\n",
              "      <td>4889.862098</td>\n",
              "      <td>0.161781</td>\n",
              "      <td>-117.985679</td>\n",
              "      <td>84.045538</td>\n",
              "      <td>-50.276746</td>\n",
              "      <td>46.061472</td>\n",
              "      <td>...</td>\n",
              "      <td>11.292909</td>\n",
              "      <td>-12.608714</td>\n",
              "      <td>4.382612</td>\n",
              "      <td>-12.076451</td>\n",
              "      <td>0.667925</td>\n",
              "      <td>-6.791718</td>\n",
              "      <td>4.467453</td>\n",
              "      <td>0.239988</td>\n",
              "      <td>0.437734</td>\n",
              "      <td>rock</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 27 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     chroma_stft      rmse  spectral_centroid  spectral_bandwidth  \\\n",
              "0       0.399025  0.127311        2155.654923         2372.403604   \n",
              "1       0.269320  0.119072        1361.045467         1567.804596   \n",
              "2       0.278484  0.076970        1198.607665         1573.308974   \n",
              "3       0.408876  0.243217        2206.771246         2191.473506   \n",
              "4       0.396258  0.235238        2061.150735         2085.159448   \n",
              "5       0.376687  0.141018        1239.337228         1659.466470   \n",
              "6       0.337922  0.129096        2258.538419         2176.031189   \n",
              "7       0.233230  0.197818        1247.244815         1908.052722   \n",
              "8       0.363603  0.175573        1552.481958         1747.165985   \n",
              "9       0.412501  0.168358        2171.221742         1954.383785   \n",
              "10      0.341865  0.259714        2094.919420         2158.335963   \n",
              "11      0.306451  0.113475        1156.070496         1497.668176   \n",
              "12      0.368158  0.242434        1827.148036         1898.717124   \n",
              "13      0.304322  0.081461        1455.001672         1825.885415   \n",
              "14      0.336454  0.112245        2013.382437         2310.305516   \n",
              "15      0.424284  0.175920        1886.683619         1913.224623   \n",
              "16      0.291308  0.141796        1459.078483         1388.913312   \n",
              "17      0.377688  0.131890        1613.315725         1972.202261   \n",
              "18      0.276317  0.101234        1309.424564         1882.919367   \n",
              "19      0.330238  0.096326        2839.453119         2444.144011   \n",
              "20      0.306928  0.103914        2595.538006         2519.296119   \n",
              "21      0.280714  0.102002        1210.197917         1497.822809   \n",
              "22      0.380260  0.248262        2116.942959         1956.611056   \n",
              "23      0.302096  0.093282        1088.698166         1410.947954   \n",
              "24      0.387851  0.102582        1912.506881         2361.474653   \n",
              "25      0.391059  0.137728        1811.076084         2052.332563   \n",
              "26      0.307921  0.131785        1451.754147         1577.369917   \n",
              "27      0.421922  0.099405         991.164417         1396.523686   \n",
              "28      0.260669  0.133165        1430.582003         2075.602343   \n",
              "29      0.311780  0.106240        2279.895453         2119.726057   \n",
              "..           ...       ...                ...                 ...   \n",
              "970     0.346682  0.065505        2632.695048         2550.454193   \n",
              "971     0.311549  0.144370        1651.933420         2104.035579   \n",
              "972     0.343655  0.082329        2336.147977         2099.296471   \n",
              "973     0.378724  0.101713        2116.115588         2245.391698   \n",
              "974     0.392898  0.161538        2157.822776         2060.259516   \n",
              "975     0.368029  0.054137        2512.007842         2245.202379   \n",
              "976     0.299721  0.088379        2072.220982         2739.519270   \n",
              "977     0.390470  0.096509        2944.965888         2831.604536   \n",
              "978     0.416485  0.106913        2471.235787         2102.216351   \n",
              "979     0.372834  0.208743        1345.850763         1841.748033   \n",
              "980     0.431615  0.147241        1711.186390         2248.251429   \n",
              "981     0.361250  0.097027        1561.095692         1568.306848   \n",
              "982     0.380442  0.053541        1935.576765         2007.518622   \n",
              "983     0.382454  0.093336        2975.976870         2423.245774   \n",
              "984     0.398055  0.152507        2188.376105         2120.348371   \n",
              "985     0.454292  0.160989        2025.045157         2215.382497   \n",
              "986     0.368837  0.161726        3030.398970         3055.334539   \n",
              "987     0.387525  0.129162        1995.882452         2097.045347   \n",
              "988     0.421082  0.191175        2789.712144         2648.716877   \n",
              "989     0.395158  0.114715        2294.252374         2104.223156   \n",
              "990     0.398653  0.076452        2006.051164         2068.327905   \n",
              "991     0.390935  0.076317        2521.472177         2133.427221   \n",
              "992     0.408572  0.126917        2301.761135         2355.225614   \n",
              "993     0.405077  0.156601        2320.615817         2045.001158   \n",
              "994     0.398191  0.153522        1857.863116         2182.366383   \n",
              "995     0.402190  0.160759        2807.320920         2688.491155   \n",
              "996     0.358195  0.054461        1609.442919         1797.065098   \n",
              "997     0.343350  0.105238        1610.278102         1816.224170   \n",
              "998     0.362349  0.083888        1398.672358         1818.148469   \n",
              "999     0.408421  0.089528        2591.111736         2078.674826   \n",
              "\n",
              "         rolloff  zero_crossing_rate       mfcc1       mfcc2      mfcc3  \\\n",
              "0    5012.019693            0.087165 -109.165355  100.621500  -8.614721   \n",
              "1    2739.625101            0.069124 -207.208080  132.799175 -15.438986   \n",
              "2    2478.376680            0.051988 -284.819504  108.785628   9.131956   \n",
              "3    4657.388504            0.111526  -29.010990  104.532914 -30.974207   \n",
              "4    4221.149475            0.113397  -38.965941  112.039843 -31.817035   \n",
              "5    2517.618110            0.050908 -206.278431  126.627468  10.585205   \n",
              "6    4755.429578            0.112765  -95.424423  101.368652 -20.682497   \n",
              "7    2620.592487            0.036904 -200.220732  116.345181  18.060785   \n",
              "8    3040.514948            0.076301  -90.754394  140.459907 -29.109965   \n",
              "9    4237.132712            0.132802  -76.717959  105.753530 -43.181755   \n",
              "10   4482.447895            0.100570  -30.094571  103.732289 -19.754240   \n",
              "11   2170.053545            0.058613 -233.860772  136.170239   3.289490   \n",
              "12   3743.619030            0.094039  -54.727689  119.473195 -34.845583   \n",
              "13   3009.856800            0.061351 -233.763613  120.673510  -3.171085   \n",
              "14   4849.495676            0.075345 -149.951701   93.629480   6.343454   \n",
              "15   3828.101852            0.089924  -92.747981  115.339527 -35.064272   \n",
              "16   2795.616429            0.073028 -190.149470  130.296951 -36.344138   \n",
              "17   3470.404015            0.058236 -177.490761  115.346103   9.969873   \n",
              "18   2764.099953            0.039393 -288.801713  105.899617  18.791320   \n",
              "19   5711.257131            0.154356 -129.086269   72.103889  -7.749275   \n",
              "20   5660.407439            0.129246 -118.665231   87.600960   6.563414   \n",
              "21   2522.101416            0.052483 -227.264777  137.762370 -14.500459   \n",
              "22   4196.107960            0.127272  -26.929785  107.334008 -46.809993   \n",
              "23   2134.412094            0.048324 -245.756428  140.485928  -2.764772   \n",
              "24   4776.862782            0.058426 -182.638291   90.676797  14.119085   \n",
              "25   3927.809582            0.075480 -145.434568  102.829023 -12.517677   \n",
              "26   2955.348796            0.061435 -179.395447  136.459244 -26.656359   \n",
              "27   1943.121584            0.036053 -236.360988  161.697416  -1.135944   \n",
              "28   3246.730367            0.041970 -239.010915  108.669218  34.149350   \n",
              "29   4732.338051            0.117149 -144.967922   95.726477 -21.598648   \n",
              "..           ...                 ...         ...         ...        ...   \n",
              "970  5310.709554            0.132433 -156.208457   75.611329 -16.509524   \n",
              "971  3456.345767            0.068930 -118.353043  130.243240  -3.079491   \n",
              "972  4501.456114            0.114202 -174.924413   90.887006 -18.700005   \n",
              "973  4689.696642            0.092801 -119.148458  107.425523 -10.965338   \n",
              "974  4244.324335            0.121604  -55.298638  114.435895 -34.063799   \n",
              "975  5130.377311            0.139141 -202.200499   75.219640 -14.218629   \n",
              "976  4688.438316            0.069091 -193.655171   98.427308  44.088969   \n",
              "977  6334.595029            0.114960 -131.414557   67.721561  32.903199   \n",
              "978  4687.104991            0.150945  -70.087356   94.182758 -50.325740   \n",
              "979  2939.265560            0.041099 -127.946876  134.443879   1.027332   \n",
              "980  3614.611476            0.066574  -91.872232  130.007313   1.789456   \n",
              "981  3242.738725            0.078965 -172.607218  142.813611 -55.819378   \n",
              "982  3983.150914            0.083594 -256.558136  103.162150  -8.459723   \n",
              "983  5926.697495            0.183736  -95.444482   78.316800 -26.214906   \n",
              "984  4433.073194            0.117590  -56.912154  115.195759 -30.433732   \n",
              "985  4571.205692            0.090808  -79.809090  109.923227 -17.112701   \n",
              "986  6731.700961            0.120808  -66.322124   66.788219  25.188441   \n",
              "987  4227.074439            0.090195 -116.608029  109.269151 -23.147901   \n",
              "988  5836.164710            0.135008  -28.061826   65.631668  -7.352339   \n",
              "989  4730.329730            0.129121  -95.257017  103.808512 -37.007912   \n",
              "990  4147.374921            0.097659 -142.424217  116.219780 -32.177077   \n",
              "991  4830.554124            0.146325 -160.093157   88.722212 -35.485229   \n",
              "992  5092.235875            0.111545 -113.668423   94.925152  -4.106270   \n",
              "993  4467.031322            0.143449  -52.466411   99.688774 -47.380670   \n",
              "994  4191.541321            0.071703 -108.958561  114.951785  -5.195616   \n",
              "995  5678.498996            0.148372  -35.371326   73.674565 -20.210725   \n",
              "996  3246.280370            0.076290 -235.189364  123.888552 -22.536185   \n",
              "997  3381.487886            0.073293 -156.250147  130.760078 -25.253056   \n",
              "998  3014.740104            0.048731 -224.972299  123.656889  -9.754534   \n",
              "999  4889.862098            0.161781 -117.985679   84.045538 -50.276746   \n",
              "\n",
              "         mfcc4  ...       mfcc12     mfcc13     mfcc14     mfcc15     mfcc16  \\\n",
              "0    47.358475  ...     6.585774  -8.642621   4.912259 -15.442804   1.538750   \n",
              "1    60.986727  ...    -0.613248   0.384877   2.605128  -5.188924  -9.527455   \n",
              "2    51.259030  ...    -3.303735   1.601561   2.660517   3.323455   3.258920   \n",
              "3    38.156392  ...    10.786454 -10.558812   6.877709 -10.294858   6.967845   \n",
              "4    38.240835  ...    13.327049 -10.921602   9.795615  -5.031277   7.200982   \n",
              "5    43.223168  ...     3.659409  -1.448481  -1.695150  -7.157464   1.171114   \n",
              "6    48.655476  ...     7.723721 -19.224149   2.856372  -9.809445   6.911756   \n",
              "7    25.288819  ...   -12.015285 -17.009242  -8.115376 -11.959014 -12.617977   \n",
              "8    31.689014  ...     5.789265  -8.905224  -1.083720  -9.218359   2.455805   \n",
              "9    60.945850  ...    12.726959  -9.366809   1.350859  -3.609972   6.997609   \n",
              "10   56.404770  ...    11.213472  -8.842511   9.090302  -3.579252   4.372714   \n",
              "11   48.931193  ...    -2.250578   3.959198   5.322555   0.812028  -1.107202   \n",
              "12   37.528793  ...    11.535462  -6.421256   1.788087  -5.874569   0.370939   \n",
              "13   39.540994  ...     2.537329  -1.240455   8.439246  -0.210692  -3.906120   \n",
              "14   71.511946  ...     5.430453  -7.462271  -4.335877 -12.401641   9.624600   \n",
              "15   57.861557  ...     7.277174 -10.205973   1.332175  -4.105897   0.978302   \n",
              "16   33.013050  ...    -3.125678  -6.593118  -9.942268  -6.537224 -10.064755   \n",
              "17   54.051329  ...     1.384242  -5.837235   5.016452  -0.748612   5.065468   \n",
              "18   23.688490  ...    -6.665247 -11.718800  -2.952338  -7.380500 -15.693589   \n",
              "19   49.251972  ...     7.106394 -18.009485   2.922717 -14.476794   4.054748   \n",
              "20   45.094287  ...     3.978413 -27.542309   3.050489 -15.946974  10.868560   \n",
              "21   63.556877  ...    -9.432815 -10.916915   3.569436   4.139583   0.092946   \n",
              "22   40.932634  ...    14.336612 -13.821769   7.562789  -6.181372   0.330165   \n",
              "23   60.436207  ...    -4.008893   1.608254   5.899379  -3.022785  -4.772990   \n",
              "24   67.549826  ...     5.811708  -5.149533   0.192984 -14.480762   6.862884   \n",
              "25   56.993472  ...     7.457218 -10.470444  -2.360483  -6.783623   2.671134   \n",
              "26   39.988027  ...    -6.954827  -3.544535  -8.051242  -8.959537  -8.424337   \n",
              "27   27.271118  ...     5.509446  -3.713326  -0.895496  -4.900801  -2.866825   \n",
              "28   30.242794  ...   -11.258263 -16.484101  -7.636357 -12.796291 -15.352031   \n",
              "29   49.625746  ...     6.365179 -21.083879   2.452764  -9.533539  -1.422650   \n",
              "..         ...  ...          ...        ...        ...        ...        ...   \n",
              "970  16.342189  ...    -2.213438  -4.643326  -5.409220  -4.687138  -7.082285   \n",
              "971  15.738111  ...    -2.856707  -1.615534  -0.204496   0.730593   2.011088   \n",
              "972  41.627803  ...     6.745465 -10.387247   7.149801  -5.795862   0.804737   \n",
              "973  58.549089  ...    11.861114 -12.177572   5.230794  -6.164438   4.245324   \n",
              "974  37.979473  ...     6.550629  -8.267243  -2.256247 -11.608407   2.496105   \n",
              "975  66.319654  ...     0.484376  -4.501988  -5.359022  -8.969885  -0.044707   \n",
              "976  23.794480  ...    -4.842922  -1.374321  -1.272271   3.210966   3.685898   \n",
              "977  34.592520  ...    -3.330885  -6.280547  -0.229388  -1.972573  -1.891688   \n",
              "978  46.961324  ...    12.147802 -14.767656   4.903812 -13.625083   0.829248   \n",
              "979  54.440979  ...    11.043714  -8.385375   2.111019  -6.338260   0.997383   \n",
              "980  11.658164  ...    -0.546759   0.405705  -1.650666  -4.570737  -2.974664   \n",
              "981  79.356209  ...   -11.247699  -5.668376 -11.290978  -7.678794  -4.271889   \n",
              "982  48.594049  ...     8.240794  -6.192268   3.438439  -3.646010   1.694155   \n",
              "983  44.235635  ...    13.879837 -12.619565   6.245220  -7.652916   7.402210   \n",
              "984  37.195583  ...     6.744223 -10.743413   0.814011 -10.161297   3.680639   \n",
              "985  47.178773  ...    13.030406 -11.579700   9.104020  -5.953490   4.914147   \n",
              "986  26.308834  ...     5.041130  -1.938340  -3.073809   0.385766  -0.774105   \n",
              "987  40.691250  ...     8.506658 -11.579919   2.189880  -6.195774   2.012122   \n",
              "988  33.593664  ...     3.189335  -1.685570  -0.161785  -1.691113   1.850430   \n",
              "989  52.687230  ...    10.179409  -8.778073   1.845568  -3.941336   2.167971   \n",
              "990  49.122974  ...    14.065346 -16.394693   4.152589  -4.350760   3.736455   \n",
              "991  47.489608  ...     7.699515  -9.859076   6.992622 -10.128288   3.059626   \n",
              "992  51.771238  ...     9.968235 -13.467302   7.566163  -7.262604   3.633977   \n",
              "993  47.017274  ...     5.701709 -12.885859   1.191493 -12.413249   0.367439   \n",
              "994  46.204894  ...     8.585697 -11.404049   1.881615 -10.552552  -0.261123   \n",
              "995  17.165273  ...    -1.314756  -2.047162   2.530268   3.606460  -3.538504   \n",
              "996  52.915518  ...    10.066771 -15.019588   3.110469  -7.127754   1.784515   \n",
              "997  43.494458  ...     5.778145  -7.041090  -1.881053  -7.691828   3.001449   \n",
              "998  56.595062  ...     7.683082 -10.071786  -0.255097  -5.276486  -2.816289   \n",
              "999  46.061472  ...    11.292909 -12.608714   4.382612 -12.076451   0.667925   \n",
              "\n",
              "        mfcc17     mfcc18     mfcc19     mfcc20  label  \n",
              "0    -6.732474   1.417774  -3.961750   3.287460  blues  \n",
              "1    -9.244394  -2.848274  -1.418707  -5.932607  blues  \n",
              "2    -4.551106   0.493845   5.937066   3.231544  blues  \n",
              "3   -10.256100   0.705014  -6.000722   1.348955  blues  \n",
              "4    -6.754969   2.663612  -4.380430   0.414055  blues  \n",
              "5    -6.221975   0.600703  -1.605095  -0.528774  blues  \n",
              "6   -11.303164   8.940704  -2.959639  -0.975428  blues  \n",
              "7   -14.187781  -8.204476 -15.024769 -10.322150  blues  \n",
              "8    -7.726901  -1.815724  -3.433434  -2.226821  blues  \n",
              "9    -4.053008  -0.271427  -3.696092  -0.504041  blues  \n",
              "10   -2.830807   4.725089   0.485058   1.475955  blues  \n",
              "11   -4.556555  -2.436490   3.316913  -0.608485  blues  \n",
              "12   -9.066488  -2.021232  -5.417520   0.024244  blues  \n",
              "13   -4.478783  -0.012437   1.293614  -2.084796  blues  \n",
              "14   -5.014185  -3.704146   2.342511   4.161077  blues  \n",
              "15   -6.553787  -0.682512  -2.126826  -1.518243  blues  \n",
              "16  -10.912171  -6.972479  -3.449033  -6.495511  blues  \n",
              "17   -5.084879  -2.795500   2.435524  -5.375209  blues  \n",
              "18  -10.958548 -10.877396 -18.504188 -19.110741  blues  \n",
              "19  -14.530605   7.253355  -8.201505  -2.006035  blues  \n",
              "20  -12.646966   2.820748 -13.337095  -4.375539  blues  \n",
              "21   -2.972928  -1.376940   7.550499  -3.032518  blues  \n",
              "22   -6.829571   0.965922  -7.570825   2.918987  blues  \n",
              "23   -3.025787  -1.993939  -0.055459  -3.975350  blues  \n",
              "24   -4.442362  -2.986889  -4.816248   5.400325  blues  \n",
              "25   -4.760879  -0.949005   0.024832  -2.005315  blues  \n",
              "26  -10.558885 -10.788159  -4.693749  -8.638613  blues  \n",
              "27   -3.761342  -3.345708  -2.410350  -3.780145  blues  \n",
              "28  -13.732282  -7.400161 -10.083954 -13.285140  blues  \n",
              "29   -9.327806   5.136750  -8.103219  -2.445027  blues  \n",
              "..         ...        ...        ...        ...    ...  \n",
              "970  -3.890626   1.386993  -2.007640  -4.728466   rock  \n",
              "971   2.075595   4.156058   3.158420   2.257767   rock  \n",
              "972  -8.136757  -5.714881  -3.366214  -0.425919   rock  \n",
              "973  -8.042236   3.521798  -7.679827  -1.352536   rock  \n",
              "974 -10.946155   0.705372  -0.678453  -0.066466   rock  \n",
              "975  -8.038883  -0.518056  -6.804290  -8.445807   rock  \n",
              "976   1.384910   2.711050   1.697010  -1.807093   rock  \n",
              "977  -0.878693   0.952147  -1.538309  -1.170599   rock  \n",
              "978 -15.057697  -1.604237 -16.088312  -2.187147   rock  \n",
              "979  -5.325869  -0.842192  -4.665996  -4.787677   rock  \n",
              "980  -4.280897  -2.687636  -3.550073  -1.451699   rock  \n",
              "981 -11.279469  -7.820529  -7.719027  -8.152873   rock  \n",
              "982  -5.411558  -3.249127  -3.868790  -1.028209   rock  \n",
              "983  -9.409118   9.650029  -3.771893   1.067510   rock  \n",
              "984  -8.554655  -0.911825  -2.523441  -1.976842   rock  \n",
              "985  -8.710204   3.701960  -5.099721   2.622137   rock  \n",
              "986   3.723454   2.405234   0.206681  -1.696351   rock  \n",
              "987  -7.948865   2.085096  -2.391399  -1.533828   rock  \n",
              "988  -3.969524  -1.626862  -6.389011  -3.863663   rock  \n",
              "989  -6.688428   5.102159  -9.692908  -3.963059   rock  \n",
              "990 -10.845639   1.875218  -7.459579  -2.802677   rock  \n",
              "991  -7.949795   0.701906  -4.932690  -2.615138   rock  \n",
              "992  -8.458357   0.392575  -9.224973  -0.279239   rock  \n",
              "993  -9.147175   1.585240  -4.120022   0.308322   rock  \n",
              "994 -11.797401  -6.503724  -4.305110  -2.741368   rock  \n",
              "995  -4.790396  -2.500228  -3.977557  -0.824020   rock  \n",
              "996  -7.070406   0.023643  -2.022035   1.158525   rock  \n",
              "997  -6.443003  -1.304332  -7.829961  -4.153138   rock  \n",
              "998  -4.416438   1.558265  -5.043121  -3.585596   rock  \n",
              "999  -6.791718   4.467453   0.239988   0.437734   rock  \n",
              "\n",
              "[1000 rows x 27 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "metadata": {
        "id": "ShSgh0bGyehC",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Preprocessing "
      ]
    },
    {
      "metadata": {
        "id": "CZ5L5XS5VUqB",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "genre_list = data.iloc[:, -1]\n",
        "encoder = LabelEncoder()\n",
        "Y = encoder.fit_transform(genre_list)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "YxODoLosVUqG",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n",
        "\n",
        "scaler = StandardScaler()\n",
        "# scaler = MinMaxScaler()\n",
        "X = scaler.fit_transform(np.array(data.iloc[:, :-1], dtype = float))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "f_ZR6UNKVUqJ",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "lneRx023VUqL",
        "colab_type": "code",
        "outputId": "ad3849a8-35f9-4866-dd1a-b75ee33786f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 86
        }
      },
      "cell_type": "code",
      "source": [
        "print X_train.shape\n",
        "print X_test.shape\n",
        "print Y_train.shape\n",
        "print Y_test.shape"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(800, 26)\n",
            "(200, 26)\n",
            "(800,)\n",
            "(200,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Taal1h8MVUqS",
        "colab_type": "code",
        "outputId": "687741e9-4d31-4f40-b210-5fd3c0e6ac92",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        }
      },
      "cell_type": "code",
      "source": [
        "print X_train[10]\n",
        "print Y_train[10]"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[ 1.01917182  0.52815537  0.66474826  0.18000972  0.5049127   1.00801563\n",
            "  0.3095328  -0.99262198 -0.31524209  1.20685001 -0.57347174  1.04877641\n",
            " -0.72815567  1.00821664 -0.6860442   0.97025286 -0.73131062  1.4264014\n",
            " -1.24986182  1.12289131 -1.93920306 -0.30371314 -1.77674218  0.85585748\n",
            " -0.09275548  1.75649946]\n",
            "4\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "-zYPAz48yk-6",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Classification with Keras"
      ]
    },
    {
      "metadata": {
        "id": "tBtecFpXVUqW",
        "colab_type": "code",
        "outputId": "0e26b5b4-f079-4d4c-e92e-8ab7bfbc9589",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, BatchNormalization, Dropout\n",
        "from keras.regularizers import l1, l2\n",
        "\n",
        "model = Sequential()\n",
        "\n",
        "model.add(Dense(256, activation='relu', kernel_regularizer=l2(0.01), input_shape=(X_train.shape[1],)))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(128, activation='relu', kernel_regularizer=l2(0.01)))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dense(64, activation='relu', kernel_regularizer=l2(0.01)))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dropout(0.2))\n",
        "\n",
        "model.add(Dense(10, activation='softmax'))\n",
        "\n",
        "model.summary()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_13 (Dense)             (None, 256)               6912      \n",
            "_________________________________________________________________\n",
            "batch_normalization_10 (Batc (None, 256)               1024      \n",
            "_________________________________________________________________\n",
            "dropout_7 (Dropout)          (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense_14 (Dense)             (None, 128)               32896     \n",
            "_________________________________________________________________\n",
            "batch_normalization_11 (Batc (None, 128)               512       \n",
            "_________________________________________________________________\n",
            "dense_15 (Dense)             (None, 64)                8256      \n",
            "_________________________________________________________________\n",
            "batch_normalization_12 (Batc (None, 64)                256       \n",
            "_________________________________________________________________\n",
            "dropout_8 (Dropout)          (None, 64)                0         \n",
            "_________________________________________________________________\n",
            "dense_16 (Dense)             (None, 10)                650       \n",
            "=================================================================\n",
            "Total params: 50,506\n",
            "Trainable params: 49,610\n",
            "Non-trainable params: 896\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "sUDoxb-kVUqY",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "optim = keras.optimizers.sgd(lr=0.005)\n",
        "# optim = keras.optimizers.rmsprop()\n",
        "# optim = keras.optimizers.adam()\n",
        "model.compile(optimizer=optim,\n",
        "              loss='sparse_categorical_crossentropy',\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "pIHljyMAVUqb",
        "colab_type": "code",
        "outputId": "fb3e09b2-22e5-4567-e6f7-2aac10926102",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        }
      },
      "cell_type": "code",
      "source": [
        "# early_stop = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=2, verbose=1, mode='auto')\n",
        "\n",
        "hist = model.fit(X_train,\n",
        "                 Y_train,\n",
        "                 epochs=15,\n",
        "                 batch_size=16,\n",
        "                 validation_data=(X_test,Y_test),\n",
        "#                  callbacks = [early_stop],\n",
        "                 shuffle=True\n",
        "                )"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 800 samples, validate on 200 samples\n",
            "Epoch 1/15\n",
            "800/800 [==============================] - 1s 2ms/step - loss: 5.4520 - acc: 0.2225 - val_loss: 4.6735 - val_acc: 0.4400\n",
            "Epoch 2/15\n",
            "800/800 [==============================] - 0s 581us/step - loss: 4.9181 - acc: 0.3488 - val_loss: 4.4568 - val_acc: 0.4950\n",
            "Epoch 3/15\n",
            "800/800 [==============================] - 0s 605us/step - loss: 4.6063 - acc: 0.4412 - val_loss: 4.3368 - val_acc: 0.5150\n",
            "Epoch 4/15\n",
            "800/800 [==============================] - 0s 597us/step - loss: 4.4781 - acc: 0.4725 - val_loss: 4.2185 - val_acc: 0.5450\n",
            "Epoch 5/15\n",
            "800/800 [==============================] - 0s 588us/step - loss: 4.3346 - acc: 0.5312 - val_loss: 4.1164 - val_acc: 0.6000\n",
            "Epoch 6/15\n",
            "800/800 [==============================] - 0s 579us/step - loss: 4.2517 - acc: 0.5325 - val_loss: 4.0738 - val_acc: 0.6000\n",
            "Epoch 7/15\n",
            "800/800 [==============================] - 0s 603us/step - loss: 4.1906 - acc: 0.5375 - val_loss: 3.9967 - val_acc: 0.6100\n",
            "Epoch 8/15\n",
            "800/800 [==============================] - 0s 564us/step - loss: 4.0747 - acc: 0.5725 - val_loss: 3.9454 - val_acc: 0.6150\n",
            "Epoch 9/15\n",
            "800/800 [==============================] - 0s 606us/step - loss: 3.9842 - acc: 0.5925 - val_loss: 3.9015 - val_acc: 0.6100\n",
            "Epoch 10/15\n",
            "800/800 [==============================] - 0s 573us/step - loss: 3.9132 - acc: 0.6088 - val_loss: 3.8603 - val_acc: 0.6050\n",
            "Epoch 11/15\n",
            "800/800 [==============================] - 0s 594us/step - loss: 3.8505 - acc: 0.6262 - val_loss: 3.8337 - val_acc: 0.6350\n",
            "Epoch 12/15\n",
            "800/800 [==============================] - 0s 602us/step - loss: 3.8581 - acc: 0.6175 - val_loss: 3.7837 - val_acc: 0.6400\n",
            "Epoch 13/15\n",
            "800/800 [==============================] - 0s 578us/step - loss: 3.7683 - acc: 0.6450 - val_loss: 3.7377 - val_acc: 0.6450\n",
            "Epoch 14/15\n",
            "800/800 [==============================] - 0s 590us/step - loss: 3.7343 - acc: 0.6400 - val_loss: 3.6842 - val_acc: 0.6550\n",
            "Epoch 15/15\n",
            "800/800 [==============================] - 1s 923us/step - loss: 3.6482 - acc: 0.6475 - val_loss: 3.6735 - val_acc: 0.6400\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "IlmzOTO-VUqe",
        "colab_type": "code",
        "outputId": "d15571b0-0bab-4c36-f9fa-12a0790ea09d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 572
        }
      },
      "cell_type": "code",
      "source": [
        "plt.figure(0)\n",
        "plt.plot(hist.history['acc'],'r')\n",
        "plt.plot(hist.history['val_acc'],'g')\n",
        "plt.xlabel(\"Num of Epochs\")\n",
        "plt.ylabel(\"Accuracy\")\n",
        "plt.title(\"Training Accuracy vs Validation Accuracy\")\n",
        "plt.legend(['train','validation'])\n",
        " \n",
        "plt.figure(1)\n",
        "plt.plot(hist.history['loss'],'r')\n",
        "plt.plot(hist.history['val_loss'],'g')\n",
        "plt.xlabel(\"Num of Epochs\")\n",
        "plt.ylabel(\"Loss\")\n",
        "plt.title(\"Training Loss vs Validation Loss\")\n",
        "plt.legend(['train','validation'])\n",
        " \n",
        "plt.show()"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEVCAYAAADpbDJPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nygCQpEEZAJI0KANAkgZlAEjSoN4B7IbpkvejJ5sAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEVCAYAAAAPRfkLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBwwFdGf7Wfg2AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "rowFtvH9VUq7",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "predictions = model.predict(X_test)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "4QdqFoP3VUq_",
        "colab_type": "code",
        "outputId": "1cf96b22-12cc-45ec-afb8-6c5299286d7f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "predictions.shape"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(200, 10)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "metadata": {
        "id": "8cjFVRvMVUrF",
        "colab_type": "code",
        "outputId": "859e3b02-b818-4d54-9551-ded293e6b7f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "np.argmax(predictions[0])"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "metadata": {
        "id": "KDaEcF0xVUrK",
        "colab_type": "code",
        "outputId": "06d6454e-e3ad-4d75-a721-4f2a6e14cfb9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "Y_test[0]"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "metadata": {
        "id": "4pbFQ64kVUrN",
        "colab_type": "code",
        "outputId": "5907fcfe-4a35-443f-c636-1d19acec71f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1907
        }
      },
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame()\n",
        "df[\"predictions\"] = np.argmax(predictions,axis=1)\n",
        "df[\"actual labels\"] = Y_test\n",
        "\n",
        "df"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>predictions</th>\n",
              "      <th>actual labels</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>176</th>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>179</th>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>180</th>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196</th>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>200 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     predictions  actual labels\n",
              "0              3              3\n",
              "1              4              6\n",
              "2              5              5\n",
              "3              5              5\n",
              "4              1              1\n",
              "5              2              2\n",
              "6              1              1\n",
              "7              7              7\n",
              "8              3              2\n",
              "9              1              1\n",
              "10             2              0\n",
              "11             7              7\n",
              "12             1              1\n",
              "13             2              2\n",
              "14             7              9\n",
              "15             8              8\n",
              "16             1              1\n",
              "17             6              6\n",
              "18             5              1\n",
              "19             3              3\n",
              "20             5              8\n",
              "21             9              8\n",
              "22             8              4\n",
              "23             5              5\n",
              "24             7              7\n",
              "25             7              7\n",
              "26             4              0\n",
              "27             5              5\n",
              "28             6              0\n",
              "29             1              1\n",
              "..           ...            ...\n",
              "170            0              9\n",
              "171            1              1\n",
              "172            8              2\n",
              "173            1              1\n",
              "174            4              4\n",
              "175            2              3\n",
              "176            4              4\n",
              "177            4              4\n",
              "178            1              1\n",
              "179            3              9\n",
              "180            6              6\n",
              "181            0              0\n",
              "182            8              3\n",
              "183            3              3\n",
              "184            7              7\n",
              "185            3              9\n",
              "186            9              0\n",
              "187            0              0\n",
              "188            7              7\n",
              "189            5              9\n",
              "190            0              0\n",
              "191            4              4\n",
              "192            7              7\n",
              "193            7              7\n",
              "194            2              0\n",
              "195            8              8\n",
              "196            3              3\n",
              "197            7              2\n",
              "198            6              0\n",
              "199            2              2\n",
              "\n",
              "[200 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "metadata": {
        "id": "e8QlKWBOVUrT",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}