imsl.data_mining.CHAIDDecisionTree.predict¶
- 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.