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Table 1 Performance of classifiers trained on human versus mouse kinases in predicting AmiGO annotations. The performance measures accuracy, kappa coefficient, correlation coefficient, precision, and recall are reported for two of the HDTree classifiers. The first classifier is trained on 330 human kinases. The performance is based on 10-fold cross-validation. The second classifier is trained on the 330 human kinases and tested on 244 mouse kinases. The annotations for the mouse and human kinases were obtained from AmiGO.

From: Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach

   

Correlation Coefficient

Precision

Recall

Classifier

Accuracy

Kappa Coefficient

Ser/Thr

Tyr

Dual

Ser/Thr

Tyr

Dual

Ser/Thr

Tyr

Dual

Human

89.1

0.76

0.82

0.86

0.30

0.97

1.00

0.15

0.95

0.74

0.71

Mouse

15.1

-0.40

-0.40

-0.43

-0.01

0.17

0.11

0.25

0.41

0.07

0.01