=== Run information === Scheme: weka.classifiers.trees.SimpleCart -M 1.0 -N 5 -U -C 1.0 -S 1 Relation: SPECT Instances: 187 Attributes: 23 attr1 attr2 attr3 attr4 attr5 attr6 attr7 attr8 attr9 attr10 attr11 attr12 attr13 attr14 attr15 attr16 attr17 attr18 attr19 attr20 attr21 attr22 class Test mode: evaluate on training data === Classifier model (full training set) === CART Decision Tree attr13=(f) | attr1=(f) | | attr22=(f) | | | attr7=(f) | | | | attr20=(f) | | | | | attr4=(f) | | | | | | attr16=(f) | | | | | | | attr17=(f) | | | | | | | | attr21=(f) | | | | | | | | | attr5=(t): n(1.0/0.0) | | | | | | | | | attr5!=(t) | | | | | | | | | | attr9=(t): n(1.0/0.0) | | | | | | | | | | attr9!=(t): n(7.0/4.0) | | | | | | | | attr21!=(f): p(1.0/0.0) | | | | | | | attr17!=(f): p(1.0/0.0) | | | | | | attr16!=(f): p(1.0/0.0) | | | | | attr4!=(f): p(2.0/0.0) | | | | attr20!=(f) | | | | | attr9=(t): p(1.0/1.0) | | | | | attr9!=(t): p(4.0/0.0) | | | attr7!=(f): p(4.0/0.0) | | attr22!=(f) | | | attr19=(t) | | | | attr2=(f): n(1.0/0.0) | | | | attr2!=(f): p(1.0/0.0) | | | attr19!=(t): p(10.0/0.0) | attr1!=(f) | | attr8=(t) | | | attr4=(f) | | | | attr2=(f): n(1.0/0.0) | | | | attr2!=(f): p(1.0/0.0) | | | attr4!=(f): p(3.0/0.0) | | attr8!=(t) | | | attr5=(f) | | | | attr2=(t) | | | | | attr7=(f): n(1.0/0.0) | | | | | attr7!=(f): p(2.0/0.0) | | | | attr2!=(t): p(4.0/0.0) | | | attr5!=(f): p(31.0/0.0) attr13!=(f) | attr22=(f) | | attr10=(f) | | | attr5=(t): p(1.0/1.0) | | | attr5!=(t) | | | | attr21=(t) | | | | | attr3=(t) | | | | | | attr12=(f): n(1.0/0.0) | | | | | | attr12!=(f): p(2.0/0.0) | | | | | attr3!=(t): p(2.0/0.0) | | | | attr21!=(t): p(11.0/0.0) | | attr10!=(f): p(20.0/0.0) | attr22!=(f): p(66.0/0.0) Number of Leaf Nodes: 27 Size of the Tree: 53 Time taken to build model: 0.01 seconds === Evaluation on training set === Time taken to test model on training data: 0 seconds === Summary === Correctly Classified Instances 181 96.7914 % Incorrectly Classified Instances 6 3.2086 % Kappa statistic 0.795 Mean absolute error 0.0379 Root mean squared error 0.1377 Relative absolute error 25.0642 % Root relative squared error 50.6861 % Total Number of Instances 187 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,977 0,133 0,988 0,977 0,982 0,797 0,991 0,999 p 0,867 0,023 0,765 0,867 0,813 0,797 0,991 0,852 n Weighted Avg. 0,968 0,125 0,970 0,968 0,969 0,797 0,991 0,987 === Confusion Matrix === a b <-- classified as 168 4 | a = p 2 13 | b = n