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Yun edited this page Jun 18, 2015 · 23 revisions

OUTPUT FILE

  • XXX_Prediction.csv :
    Currently, it is ordered by KC, student (and preserving the record order within a KC-student), which may not be the same as the original ordering in test set (unless you just have one HMM in test set).

    • actualLabel: actual student responses(correct or incorrect).
    • predLabel: predicted student responses.
    • predProbCorrect: predicted probability of getting correct responses.
    • priorProbKnown: predicted probability of known/mastered before updating by current observed correctness.
    • posteriorProbKnown: predicted probability of known/mastered after updating by current observed correctness (before doing transition to next hidden state).
    • student
    • kc: a skill.
    • problem
    • step
  • XXX_Evaluation.csv :
    Evaluation files including:

    • predictive performance metrics on test set
    • plausibility metrics (see our EDM15 paper).
    • training information.
  • XXX_Parameters.csv :
    This file maintains the HMM basic parameters and feature coefficients.

  • Runtime.log :
    This file contains the basic runtime information (configuration, log likelihood changes, etc.).

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