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Table 2 DRL Classifier Performance Metrics

From: Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis

Metric

Value

Total Number of Instances

300

Correctly Classified Instances

284 (96.20%)

Incorrectly Classified Instances

16 (5.33%)

Accuracy

96.20%

Precision

96.48%

Recall

96.10%

F1-Score

96.29%

Kappa Statistic

0.964

Mean Absolute Error (MAE)

0.053

Root Mean Squared Error (RMSE)

0.2275

Relative Absolute Error (RAE)

10.59%

Root Relative Squared Error (RRSE)

45.50%

Construction Time

0.08 s

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BMC Cancer

ISSN: 1471-2407

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