=== Run information === Scheme: weka.classifiers.meta.CostSensitiveClassifier -cost-matrix "[0.0 0.91; 0.09 0.0]" -S 1 -W weka.classifiers.meta.Bagging -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.RandomForest -- -I 10 -K 0 -S 1 Relation: yeast_LengthOnly_TRAINING_prprob1_prspec200_peprob0_pespec0.arff Instances: 14610 Attributes: 3 1_length_aa 2_molecular_weight MSdetectability Test mode: 4-fold cross-validation === Classifier model (full training set) === CostSensitiveClassifier using reweighted training instances weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.trees.RandomForest -- -I 10 -K 0 -S 1 Classifier Model All the base classifiers: Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0026 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0027 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0027 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0026 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0024 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0031 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0019 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0028 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0023 Random forest of 10 trees, each constructed while considering 2 random features. Out of bag error: 0.0026 Cost Matrix 0 0.91 0.09 0 Time taken to build model: 35.84 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 11715 80.1848 % Incorrectly Classified Instances 2895 19.8152 % Kappa statistic 0.1113 Mean absolute error 0.2216 Root mean squared error 0.3901 Relative absolute error 133.7563 % Root relative squared error 135.5504 % Total Number of Instances 14610 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure Class 0.298 0.148 0.168 0.298 0.215 1 0.852 0.702 0.924 0.852 0.887 0 === Confusion Matrix === a b <-- classified as 396 935 | a = 1 1960 11319 | b = 0