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Results 1 - 3 of 3 for cms (0.02 sec)
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model_evaluation.rst.txt
'fp': cm[0, 1], ... 'fn': cm[1, 0], 'tp': cm[1, 1]} >>> cv_results...... cm = confusion_matrix(y, y_pred) ... return {'tn': cm[0, 0],...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
plot_classifier_comparison.rst.txt
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k") # Plot...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
preprocessing.rst.txt
corresponds to the sepal length in cm. Once the quantile transformation...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt