Table 4 Classifier errors for the classifier’s tested on dataset 5
From: Using machine learning algorithms to identify genes essential for cell survival
Classifier Error | ZeroR | NaiveBayes | KNN | J48 | RandomForest | SMO | OneR |
|---|---|---|---|---|---|---|---|
Kappa statistic | 0.00 | 0.66 | 0.23 | 0.87 | 0.00 | 0.86 | 0.57 |
Mean absolute error | 0.12 | 0.05 | 0.06 | 0.02 | 0.09 | 0.02 | 0.04 |
Root mean squared error | 0.25 | 0.22 | 0.24 | 0.12 | 0.20 | 0.13 | 0.20 |
Relative absolute error | 100% | 40.55% | 47.10% | 15.63% | 73.11% | 13.33% | 31.55% |
Root relative squared error | 100% | 90.13% | 96.73% | 48.74% | 79.35% | 51.73% | 79.59% |