imsl.data_mining.C45DecisionTree.predict

C45DecisionTree.predict(data, weights=None)

Compute predicted values using a decision tree.

Parameters:

data : (M,N) array_like

Array containing the data.

weights : (M,) array_like, optional

Array containing the case weights.

Default is weights[i] = 1.0.

Returns:

A named tuple with the following fields:

predictions : (M,) ndarray

Array containing the predicted values.

pred_err_ss : float

The prediction error mean sum of squares.