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Paste Test data set ARFF file here:
@relation 'iris_test_document.xlsx.arff' @attribute sepallength numeric @attribute sepalwidth numeric @attribute petallength numeric @attribute petalwidth numeric @attribute class {Iris-setosa, Iris-versicolor, Iris-virginica} @data 5,3.6,1.4,0.2,? 5.7,2.8,4.5,1.3,? 7.6,3,6.6,2.1,?
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=== Model information === Filename: m.model Scheme: weka.classifiers.trees.J48 -C 0.25 -M 2 Relation: iris_train_document.xlsx.arff Attributes: 5 sepallength sepalwidth petallength petalwidth class === Classifier model === J48 pruned tree ------------------ petalwidth <= 1.5 | petalwidth <= 0.2: Iris-setosa (4.0) | petalwidth > 0.2: Iris-versicolor (5.0) petalwidth > 1.5: Iris-virginica (5.0) Number of Leaves : 3 Size of the tree : 5 === Re-evaluation on test set === User supplied test set Relation: iris_test_document.xlsx.arff Instances: unknown (yet). Reading incrementally Attributes: 5 === Predictions on user test set === inst# actual predicted error prediction 1 1:? 1:Iris-setosa 1 2 1:? 2:Iris-versicolor 1 3 1:? 3:Iris-virginica 1 === Summary === Total Number of Instances 0 Ignored Class Unknown Instances 3 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-setosa 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-versicolor 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-virginica Weighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN === Confusion Matrix === a b c <-- classified as 0 0 0 | a = Iris-setosa 0 0 0 | b = Iris-versicolor 0 0 0 | c = Iris-virginica === Re-evaluation on test set === User supplied test set Relation: iris_test_document.xlsx.arff Instances: unknown (yet). Reading incrementally Attributes: 5 === Predictions on user test set === inst#,actual,predicted,error,distribution,, 1,1:?,1:Iris-setosa,,*0.7,0.3,0 2,1:?,2:Iris-versicolor,,0,*1,0 3,1:?,3:Iris-virginica,,0.333,0.333,*0.333 === Summary === Total Number of Instances 0 Ignored Class Unknown Instances 3 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-setosa 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-versicolor 0.000 0.000 0.000 0.000 0.000 0.000 ? ? Iris-virginica Weighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN === Confusion Matrix === a b c <-- classified as 0 0 0 | a = Iris-setosa 0 0 0 | b = Iris-versicolor 0 0 0 | c = Iris-virginica
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