3.3. model evaluation: quantifying the quality of, 3.3.1. the scoring parameter: defining model evaluation rules¶. model selection and evaluation using tools, such as model_selection.gridsearchcv and model_selection.cross_val_score, take a scoring parameter that controls what metric they apply to the estimators evaluated..
6. learning to classify text - natural language toolkit, 1 supervised classification. classification is the task of choosing the correct class label for a given input. in basic classification tasks, each input is considered in isolation from all other inputs, and
the set of labels is defined in advance..
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