Variable importance computation mode.
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◆ VariableImportanceModeId()
Constructs the variable importance computation mode object identifier using the provided value
- Parameters
-
value | Value corresponding to the variable importance computation mode object identifier |
◆ getValue()
Returns the value corresponding to the variable importance computation mode object identifier
- Returns
- Value corresponding to the variable importance computation mode object identifier
◆ MDA_Raw
Mean Decrease Accuracy (permutation importance). For each tree, the prediction error on the out-of-bag portion of the data is computed (error rate for classification, MSE for regression). The same is done after permuting each predictor variable. The difference between the two are then averaged over all trees.
◆ MDA_Scaled
Mean Decrease Accuracy (permutation importance). This is MDA_Raw value normalized by its standard deviation.
◆ MDI
Mean Decrease Impurity. Computed as the sum of weighted impurity decreases for all nodes where the variable is used, averaged over all trees in the forest
◆ none
The documentation for this class was generated from the following file:
- VariableImportanceModeId.java