The fact that you can import plot_confusion_matrix directly ... So you can just look at the source code of plot_confusion_matrix() to see ... ... <看更多>

SVC(kernel='linear') y_pred = classifier.fit(X_train, ... y_pred) # Only use the labels that appear in the data classes ... ... <看更多>

You can also use the sklearn built-in plot_confusion_matrix to plot. ... normalize='true') print(conf_mat) disp = plot_confusion_matrix(classifier, X_test, ... ... <看更多>

_images/plot_confusion_matrix.png ... Support Vector Regression (SVR) using linear and non-linear kernels ... Logistic Regression 3-class Classifier. ... <看更多>

Available only . ... Naive Bayes; K-Nearest; Decision Tree; Support Vector Machine; Random Forest ... skplt.metrics.plot_confusion_matrix(test_set. ... <看更多>

Since the ROC is only valid in binary classification, we want to show the respective ... Plot precision-recall curve for support vector machine classifier. ... <看更多>

... <看更多>