=== 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_66attrib_TRAINING_prprob1_prspec200_peprob0_pespec0.arff Instances: 14610 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: 10-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 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 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: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0.0001 Random forest of 10 trees, each constructed while considering 7 random features. Out of bag error: 0 Cost Matrix 0 0.91 0.09 0 Time taken to build model: 241.9 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 13534 92.6352 % Incorrectly Classified Instances 1076 7.3648 % Kappa statistic 0.5678 K&B Relative Info Score -417538.3321 % K&B Information Score -1837.6559 bits -0.1258 bits/instance Class complexity | order 0 6430.4098 bits 0.4401 bits/instance Class complexity | scheme 13881.7408 bits 0.9502 bits/instance Complexity improvement (Sf) -7451.331 bits -0.51 bits/instance Mean absolute error 0.1361 Root mean squared error 0.2432 Relative absolute error 82.1763 % Root relative squared error 84.5243 % Total Number of Instances 14610 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure Class 0.628 0.044 0.59 0.628 0.608 1 0.956 0.372 0.962 0.956 0.959 0 === Confusion Matrix === a b <-- classified as 836 495 | a = 1 581 12698 | b = 0