RandomForestClassifierModel test

---

test(self, frame, label_column, observation_columns=None)

[ALPHA] Predict test frame labels and return metrics.

Parameters:

frame : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

The frame whose labels are to be predicted

label_column : unicode

Column containing the true labels of the observations

observation_columns : list (default=None)

Column(s) containing the observations whose labels are to be predicted. By default, we predict the labels over columns the RandomForest was trained on.

Returns:

: dict

An object with classification metrics. The data returned is composed of multiple components:

double : accuracy

table : confusion_matrix

double : f_measure

double : precision

double : recall

Predict the labels for a test frame and run classification metrics on predicted and target labels.