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Table 5 Performance metrics across the various classifiers tested on dataset 5 for abstracts classified as RNAi

From: Using machine learning algorithms to identify genes essential for cell survival

Classifiers Time (sec) TPR FPR Precision Recall F-Measure
ZeroR 2.45 0.00 0.00 0.00 0.00 0.00
NaiveBayes 28.82 0.83 0.04 0.59 0.83 0.69
KNN 3.22 0.14 0.00 0.90 0.14 0.25
J48 116.14 0.83 0.00 0.93 0.83 0.88
RandomForest 70.66 0.00 0.00 0.00 0.00 0.00
SMO 6.46 0.82 0.01 0.93 0.82 0.87
OneR 12.94 0.42 0.00 0.98 0.42 0.59
  1. [Time in seconds to build the model, True Positive Rate (TPR), False Positive Rate (FPR)]