Table 2

Classification of lean and obese subjects

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

Ghosh et al. BMC Medical Genomics 2010 3:56   doi:10.1186/1755-8794-3-56

Open Data