Train a classifier:

Generate an information report about the classifier:

Obtain information properties available for this classifier:

Classification properties available for this classifier:

List of classes that the classifier can return:

Time that Classify spent on training:

Check how the features have been interpreted:

Train a classifier:

Display the information panel:

Only display the learning curve:

Train a logistic classifier:

Return a pure function for the classification task:

Return a pure function giving class probabilities:

Train a nearest neighbors classifier:

Get a short description of the method:

Obtain few parameters about the classifier:

Train an SVM classifier:

Obtain the time used to train the classifier:

Obtain a set of method suboptions that can be used to retrain the classifier:

Use these options to retrain the classifier:

This training has been faster:

Train a classifier:

Extract the utility function of the classifier:

Modify the utility to penalize examples of class "yes" being misclassified as "no":

Predict an example with the original and new utility function: