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Table 2 Performance of prediction models generated by 10-fold cross validation from training-cum validation dataset.

From: Classification models for clear cell renal carcinoma stage progression, based on tumor RNAseq expression trained supervised machine learning algorithms

Classifier

Accuracy

auROC#

J48

67.6316

0.700

Naïve Bayes

77.8947

0.843

Random Forest

79.7368

0.876

SMO

76.0526

0.745

  1. # auROC denotes area under Receivers Operating Characteristic curve. Highest numerical value in each column is highlighted as bold letters.
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BMC Proceedings

ISSN: 1753-6561

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