模型评估——混淆矩阵confusion_matrix - Code World

模型评估——混淆矩阵confusion_matrix

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Origin blog.csdn.net/abc123mma/article/details/113625737

模型评估——混淆矩阵confusion_matrix

模型评估——混淆矩阵confusion_matrix

模型评估——混淆矩阵confusion_matrix

Use python to draw confusion matrix (confusion_matrix)

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R语言使用caret包的confusionMatrix函数计算混淆矩阵、使用编写的自定义函数可视化混淆矩阵（confusion matrix）

R语言自定义多分类混淆矩阵可视化函数（mutlti class confusion matrix）、R语言多分类混淆矩阵可视化

R语言glm拟合logistic回归模型：模型评估（模型预测概率的分组密度图、混淆矩阵、准确率、精确度、召回率、ROC、AUC）、PRTPlot函数获取logistic模型最优阈值(改变阈值以优化)

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Sklearn.metrics evaluation method described in (accuracy_score, recall_score, roc_curve, roc_auc_score, confusion_matrix, classification_report)

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R语言使用caret包的confusionMatrix函数计算混淆矩阵、使用编写的自定义函数可视化混淆矩阵（confusion matrix）

R语言使用caret包的confusionMatrix函数计算混淆矩阵、使用编写的自定义函数可视化混淆矩阵（confusion matrix）

R语言使用caret包的confusionMatrix函数计算混淆矩阵、使用编写的自定义函数可视化混淆矩阵（confusion matrix）

R语言使用caret包的confusionMatrix函数计算混淆矩阵、使用编写的自定义函数可视化混淆矩阵（confusion matrix）

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