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Model Validation (version 1.0.11.0)

Choose the dataset containing model/pipeline object:

Select a model validation function:

Other Options

Other Options 0

Select input type::

Training samples dataset::

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

Dataset containing class labels or target values::

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

What it does This tool includes model validation functions to evaluate estimator performance in the cross-validation approach. This tool is based on sklearn.model_selection package. For information about model validation functions and their parameter settings please refer to Scikit-learn model_selection.