=== Run information === Scheme:weka.classifiers.rules.JRip -F 3 -N 2.0 -O 2 -S 1 Relation: fetal_WEKA-weka.filters.unsupervised.attribute.Remove-R22-24,26-30,32-35-weka.filters.unsupervised.attribute.Discretize-unset-class-temporarily-B10-M-1.0-R22,23-weka.filters.unsupervised.attribute.Remove-R22 Instances: 2126 Attributes: 22 LBE LB AC FM UC ASTV MSTV ALTV MLTV DL DS DP Width Min Max Nmax Nzeros Mode Mean Median Variance ICAk20 Test mode:5-fold cross-validation === Classifier model (full training set) === JRIP rules: =========== (Variance >= 13) and (Mode <= 112) and (Variance >= 68) and (UC >= 3) => CardiotocographyOutlier='(0.9-inf)' (19.0/1.0) (Max >= 180) and (Width >= 145) and (Min >= 52) and (ASTV >= 62) => CardiotocographyOutlier='(0.9-inf)' (11.0/0.0) (Variance >= 9) and (DP >= 1) and (DL <= 1) and (DP <= 1) and (Mode <= 140) => CardiotocographyOutlier='(0.9-inf)' (15.0/1.0) (MSTV >= 2) and (MSTV >= 4.1) and (LBE >= 125) => CardiotocographyOutlier='(0.9-inf)' (22.0/5.0) (Max >= 180) and (MLTV >= 19.2) and (ASTV >= 44) and (ASTV <= 59) => CardiotocographyOutlier='(0.9-inf)' (12.0/2.0) (Variance >= 9) and (FM >= 8) and (Nmax <= 2) and (FM >= 104) => CardiotocographyOutlier='(0.9-inf)' (5.0/0.0) (Variance >= 12) and (Min >= 110) and (MLTV >= 7.9) => CardiotocographyOutlier='(0.9-inf)' (11.0/3.0) (Variance >= 32) and (LBE <= 129) and (Nmax <= 2) => CardiotocographyOutlier='(0.9-inf)' (7.0/1.0) (UC >= 10) and (ALTV >= 10) => CardiotocographyOutlier='(0.9-inf)' (8.0/3.0) (MSTV >= 2) and (FM >= 42) and (Median >= 142) => CardiotocographyOutlier='(0.8-0.9]' (14.0/3.0) (MSTV >= 2.2) and (LBE <= 127) and (ASTV <= 14) => CardiotocographyOutlier='(0.8-0.9]' (10.0/2.0) (Variance >= 7) and (Max >= 179) and (Min >= 114) and (Min <= 123) => CardiotocographyOutlier='(0.8-0.9]' (11.0/1.0) (Variance <= 6) and (AC >= 2) and (MLTV >= 7.3) and (Min >= 123) and (ASTV <= 42) => CardiotocographyOutlier='(0.1-0.2]' (19.0/6.0) (Variance <= 7) and (Min <= 74) and (Mode >= 147) => CardiotocographyOutlier='(0.1-0.2]' (21.0/10.0) (Width >= 52) and (Variance >= 23) and (Width >= 136) and (MSTV >= 2.8) => CardiotocographyOutlier='(0.7-0.8]' (24.0/9.0) (Max >= 174) and (Width <= 90) and (UC >= 6) => CardiotocographyOutlier='(0.7-0.8]' (30.0/12.0) => CardiotocographyOutlier='(-inf-0.1]' (1887.0/1573.0) Number of Rules : 17 Time taken to build model: 1.81 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 416 19.5673 % Incorrectly Classified Instances 1710 80.4327 % Kappa statistic 0.0627 Mean absolute error 0.1719 Root mean squared error 0.2996 Relative absolute error 95.9433 % Root relative squared error 100.0968 % Total Number of Instances 2126 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.988 0.852 0.17 0.988 0.291 0.57 '(-inf-0.1]' 0.022 0.004 0.333 0.022 0.041 0.564 '(0.1-0.2]' 0.005 0 1 0.005 0.01 0.564 '(0.2-0.3]' 0 0.002 0 0 0 0.56 '(0.3-0.4]' 0 0 0 0 0 0.558 '(0.4-0.5]' 0 0.002 0 0 0 0.532 '(0.5-0.6]' 0.009 0.006 0.143 0.009 0.017 0.517 '(0.6-0.7]' 0.106 0.022 0.354 0.106 0.163 0.535 '(0.7-0.8]' 0.112 0.025 0.284 0.112 0.161 0.544 '(0.8-0.9]' 0.357 0.027 0.486 0.357 0.411 0.651 '(0.9-inf)' Weighted Avg. 0.196 0.136 0.254 0.196 0.107 0.557 === Confusion Matrix === a b c d e f g h i j <-- classified as 316 4 0 0 0 0 0 0 0 0 | a = '(-inf-0.1]' 177 4 0 0 0 0 1 2 0 0 | b = '(0.1-0.2]' 195 2 1 0 0 0 0 1 0 0 | c = '(0.2-0.3]' 207 1 0 0 0 0 0 3 0 0 | d = '(0.3-0.4]' 221 0 0 2 0 1 3 2 1 2 | e = '(0.4-0.5]' 213 1 0 0 0 0 3 6 4 3 | f = '(0.5-0.6]' 186 0 0 0 0 2 2 16 8 6 | g = '(0.6-0.7]' 160 0 0 0 0 0 2 23 13 20 | h = '(0.7-0.8]' 113 0 0 1 0 1 3 9 19 23 | i = '(0.8-0.9]' 67 0 0 0 0 0 0 3 22 51 | j = '(0.9-inf)'