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Confusion matrix for classification (%).

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Actual values as rows; predicted values as columns.

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创建时间：

2019-05-22

The ROC areas and the PR areas of different methods on SynTReN datasets with noise 0.1, 0.2, 0.3, respectively.

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Confusion matrix showing the random forest model predictions for the independent testing dataset at 6, 12, and 24 months.

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Sensitivity, specificity, accuracy and Youden’s index of the two decision trees.

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Performance metrics of classifiers with InceptionV3.

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Evaluation metrics for each classifier with set of previous work’s most important parameters combined with “plans to abandon”.

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