imsl.data_mining.CHAIDDecisionTree.predict¶
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CHAIDDecisionTree.
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.