多分类的 准确率 召回率 代码

from sklearn.metrics import classification_report,confusion_matrix

# 准确率 召回率 F1 每个类的数据量
precision_recall_report = classification_report(
              y_true=all_groundtruth_list,
              y_pred=all_predict_list,
              labels=list(range(0,len(all_label_list))),
              target_names=all_label_list)
print(precision_recall_report)

# 混淆矩阵
matrix = confusion_matrix(
         y_true=all_groundtruth_list,
         y_pred=all_predict_list,
         labels=list(range(0,len(all_label_list))))  
print(matrix)