From: Prediction of lung tumor types based on protein attributes by machine learning algorithms
Data Base | Bayes Kernel Accuracy | Naive Bayes Accuracy | Bayes Kernel Kappa | Naive Bayes Kappa |
---|---|---|---|---|
Rule | 57.93% | 48.03% | 13.54% | 25.30% |
SVM | 66.97% | 77.35% | 42.20% | 63.30% |
Uncertainty | 58.21% | 55.45% | 14.33% | 32.65% |
Relief | 66.74% | 72.65% | 42.94% | 55.55% |
PCA | 54.39% | 44.02% | 19.52% | 11.38% |
Info Gain Ratio | 61.24% | 61.14% | 25.22% | 41.00% |
Info Gain | 69.32% | 70.23% | 44.63% | 54.66% |
Gini Index | 65.68% | 66.74% | 38.20% | 48.97% |
Deviation | 54.39% | 44.02% | 19.52% | 11.38% |
Chi Squared | 63.18% | 64.09% | 37.20% | 42.02% |
FCdb | 58.21% | 14.30% | 42.20% | 32.60% |
MR | 70.00% | 77.20% | 50.84% | 63.60% |
SAM | 61.20% | 62.95% | 26.95% | 39.75% |