我有一個代碼可以讓我獲得 SVM 的準確性，但我想知道 0 類和 1 類分別是多少。這是代碼from sklearn.svm import SVCfrom sklearn.metrics import accuracy_scoreclf = SVC(C=10000.0, kernel='rbf')t0 = time()clf.fit(features_train, labels_train)print "training_time:", round(time()-t0, 3), "s"t0 = time()pred = clf.predict(features_test)print "prediction time:", round(time()-t0, 3), "s"acc = accuracy_score(pred, labels_test)print acc我已經嘗試過下面的代碼，但沒有成功......from sklearn.svm import SVCfrom sklearn.metrics import accuracy_scoreclf = SVC(C=10000.0, kernel='rbf', probability=True)t0 = time()clf.fit(features_train, labels_train)print "training_time:", round(time()-t0, 3), "s"t0 = time()pred = clf.predict(features_test)class = clf.predict_proba(features_test)print sum(class)print "prediction time:", round(time()-t0, 3), "s"acc = accuracy_score(pred, labels_test)print acc我錯過了什么？泰！