=== Run information === Scheme: weka.classifiers.meta.CostSensitiveClassifier -cost-matrix "[0.0 0.93; 0.07 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_LCQ_66attrib_TRAINING_prprob1_prspec75_peprob0_pespec0.arff Instances: 5128 Attributes: 67 1_length_aa 2_molecular_weight 3_A 4_C 5_D 6_E 7_F 8_G 9_H 10_I 11_K 12_L 13_M 14_N 15_P 16_Q 17_R 18_S 19_T 20_V 21_W 22_Y 23_A_rel 24_C_rel 25_D_rel 26_E_rel 27_F_rel 28_G_rel 29_H_rel 30_I_rel 31_K_rel 32_L_rel 33_M_rel 34_N_rel 35_P_rel 36_Q_rel 37_R_rel 38_S_rel 39_T_rel 40_V_rel 41_W_rel 42_Y_rel 43_CHOP780201_sum 44_CHOP780201_avg 45_CHOP780202_sum 46_CHOP780202_avg 47_CHOP780203_sum 48_CHOP780203_avg 49_WERD780101_sum 50_WERD780101_avg 51_ZIMJ680104_sum 52_ZIMJ680104_avg 53_KLEP840101_sum 54_KLEP840101_avg 55_EISD860102_sum 56_EISD860102_avg 57_FAUJ880111_sum 58_FAUJ880111_avg 59_VINM940101_sum 60_VINM940101_avg 61_FAUJ880103_sum 62_FAUJ880103_avg 63_GUYH850105_sum 64_GUYH850105_avg 65_NOZY710101_sum 66_NOZY710101_avg 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 7 random features. Out of bag error: 0.0004 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0002 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0004 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Cost Matrix 0 0.93 0.07 0 Time taken to build model: 80.86 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 4765 92.9212 % Incorrectly Classified Instances 363 7.0788 % Kappa statistic 0.4785 Mean absolute error 0.124 Root mean squared error 0.2318 Relative absolute error 94.5705 % Root relative squared error 90.615 % Total Number of Instances 5128 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure Class 0.537 0.041 0.497 0.537 0.517 1 0.959 0.463 0.965 0.959 0.962 0 === Confusion Matrix === a b <-- classified as 194 167 | a = 1 196 4571 | b = 0