=== Run information === Scheme: weka.classifiers.functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4" Relation: wisconsin-breast-cancer Instances: 683 Attributes: 10 Clump_Thickness Cell_Size_Uniformity Cell_Shape_Uniformity Marginal_Adhesion Single_Epi_Cell_Size Bare_Nuclei Bland_Chromatin Normal_Nucleoli Mitoses Class Test mode: 10-fold cross-validation === Classifier model (full training set) === SMO Kernel used: Linear Kernel: K(x,y) = Classifier for classes: benign, malignant BinarySMO Machine linear: showing attribute weights, not support vectors. 1.5423 * (normalized) Clump_Thickness + 0.2231 * (normalized) Cell_Size_Uniformity + 1.317 * (normalized) Cell_Shape_Uniformity + 0.664 * (normalized) Marginal_Adhesion + 0.9158 * (normalized) Single_Epi_Cell_Size + 1.5121 * (normalized) Bare_Nuclei + 1.2144 * (normalized) Bland_Chromatin + 0.7219 * (normalized) Normal_Nucleoli + 1.1801 * (normalized) Mitoses - 2.5757 Number of kernel evaluations: 9508 (68.98% cached) Time taken to build model: 1.06 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 663 97.0717 % Incorrectly Classified Instances 20 2.9283 % Kappa statistic 0.9359 Mean absolute error 0.0293 Root mean squared error 0.1711 Relative absolute error 6.4342 % Root relative squared error 35.8782 % Total Number of Instances 683 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0.973 0.033 0.982 0.973 0.977 0.936 0.970 0.973 benign 0.967 0.027 0.951 0.967 0.959 0.936 0.970 0.931 malignant Weighted Avg. 0.971 0.031 0.971 0.971 0.971 0.936 0.970 0.958 === Confusion Matrix === a b <-- classified as 432 12 | a = benign 8 231 | b = malignant