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Module: Classifier Models -> Evaluation + Selection of Preferred #36

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jonc101 opened this issue Dec 14, 2017 · 0 comments

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Standard ML Pipeline

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jonc101 commented Dec 14, 2017 •

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Input results of issue Module: Feature Matrix -> Multiple Classifier Models #35, have a battery of predictive models / classifiers.
Calculate standard evaluation metrics such as ROC AUC, AU Precision-Recall Curve, calibration curve, Precision at top X(%) with respective total report
Allow sorting/selection of models by best performance by given metric

jonc101 created this issue from a note in Predicting Lab Results (To Do)

jonc101 moved this from To Do to In Progress in Predicting Lab Results

jonc101 moved this from In Progress to To Do in Predicting Lab Results

jonc101 removed this from To Do in Predicting Lab Results

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