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Table 2 The performance of models based on various classifiers developed & evaluated on EGFR10 dataset

From: QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest

Classifier Sensitivity Specificity Accuracy MCC ROC
IBK 68.69 84.98 82.63 0.45 0.87
Bayes 68.73 70.57 70.31 0.29 0.72
Naive Bayes 69.87 67.96 68.23 0.27 0.70
SVM 67.11 86.24 83.48 0.46 0.87
Random Forest 68.74 87.67 84.95 0.49 0.89