Naive Bayes implementation (untested) #301
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jassak
commented
Jan 18, 2021
jassak
commented
- Implementation of Naive Bayes classifier for mixed numerical and categorical variables
- Output includes:
- Classification report (precision, recall, specificity, F score)
- ROC report (AUC per class, Gini coefficient per class)
- Accuracy report (accuracy, upper and lower c.i.)
- Confusion matrix chart
- ROC per class chart
Also, first commit for a common library of usefull functions, located in mipframework/funclib
This class, like all other Additive... classes, takes care of correctly computing the quantity in question, here the ROC curve, when multiple instances are sent from the locals to the global node.
Also, fix behaviour for input that might have only numerical or only categorical X matrix (very bad fix, must implement better one).
ThanKarab
approved these changes
Jan 18, 2021
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