WebMar 21, 2024 · Especially interesting is the experiment BIN-98 which has F1 score of 0.45 and ROC AUC of 0.92. The reason for it is that the threshold of 0.5 is a really bad choice … Webprint('Test accuracy: ',bin_clf.score(x_test,y_test_0)) Training Accuracy: 0.99095. Test accuracy: 0.989. Warm Start As you might have gussed, there is an approach called Warm Start. Setting warm_start=True retains the weight values of the model after max_iter and hence produce different results for each execution.
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