|
True Positive Rate (Sensitivity)
|
False Positive Rate
|
True Negative Rate (Specificity)
|
False Negative Rate
|
---|
Classifier
|
Full
|
Filtered
|
Full
|
Filtered
|
Full
|
Filtered
|
Full
|
Filtered
|
---|
Naïve Bayes
|
0.96 (0.09)
|
0.93 (0.08)
|
0.18 (0.16)
|
0.003 (0.02)
|
0.82 (0.17)
|
0.99 (0.02)
|
0.03 (0.09)
|
0.06 (0.08)
|
Logistic Regression
|
0.98 (0.04)
|
0.95 (0.07)
|
0.11 (0.16)
|
0.01 (0.03)
|
0.89 (0.16)
|
0.99 (0.03)
|
0.01 (0.04)
|
0.05 (0.08)
|
Random Forests
|
0.95 (0.09)
|
0.94 (0.11)
|
0.17 (0.17)
|
0.10 (0.14)
|
0.83 (0.17)
|
0.89 (0.14)
|
0.05 (0.09)
|
0.06 (0.11)
|
ZeroR
|
0.81 (0.39)
|
0.81 (0.39)
|
0.81 (0.39)
|
0.81 (0.39)
|
0.19 (0.39)
|
0.19 (0.39)
|
0.19 (0.39)
|
0.19 (0.39)
|
- Comparison of classifier performance for predicting obese and lean phenotype with a full (183 genes) or filtered (11 gene) gene inputs