Table 2 The % accuracy of classification after evaluating each classifier on a given dataset using 10 fold stratified cross validation
From: Using machine learning algorithms to identify genes essential for cell survival
Classifiers | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
|---|---|---|---|---|---|
ZeroR | 75.00 | 50.00 | 75.00 | 80.00 | 93.41 |
NaiveBayes | 93.00 | 89.00 | 93.25 | 92.40 | 95.00 |
KNN | 77.00 | 74.00 | 81.00 | 83.20 | 94.23 |
J48 | 95.00 | 95.00 | 94.50 | 96.60 | 98.46 |
RandomForest | 91.00 | 95.00 | 84.75 | 82.80 | 93.41 |
SMO | 94.25 | 94.50 | 94.50 | 96.00 | 98.35 |
OneR | 88.75 | 78.00 | 88.75 | 91.00 | 96.09 |