Options: -M 4.0 M5 pruned model tree: (using smoothed linear models) rfc <= 35.5 : LM1 (270/49.268%) rfc > 35.5 : LM2 (70/79.647%) LM num: 1 bug = 0.0029 * rfc + 0.0373 * ca + 0.0954 * ce + 0.0668 * npm + 0.5495 * ic + 0.0082 * cbm + 0.06 LM num: 2 bug = 0.0696 * rfc + 0.0825 * ca + 0.0062 * npm + 1.3631 * ic + 0.2176 * cbm - 2.4013 Number of Rules : 2 Time taken to build model: 0.39 seconds Time taken to test model on training data: 0.01 seconds === Error on training data === Correlation coefficient 0.8222 Mean absolute error 1.2487 Root mean squared error 1.6916 Relative absolute error 67.6238 % Root relative squared error 56.9374 % Total Number of Instances 340 === Cross-validation === Correlation coefficient 0.7928 Mean absolute error 1.2899 Root mean squared error 1.8162 Relative absolute error 69.2073 % Root relative squared error 60.7882 % Total Number of Instances 340