📄 dataexample2.test.txt.result

📁 this is also good for learning SVM algorithm

💻 RESULT

字号:

Processing Filename: demo\DataExample2.train.txtClassifier:MCAdaBoostM1 -- WekaClassify -MultiClassWrapper 0 -- trees.J48Message: Testing on File demo\DataExample2.test.txt,  Classification, Error = 0.263556, Precision = 0.736444, Recall = 0.736444, F1 = 0.736444, Processing Filename: demo\DataExample2.train.txtClassifier:MCAdaBoostM1 -- WekaClassify -MultiClassWrapper 0 -- trees.J48Message: Testing on File demo\DataExample2.test.txt,  Classification, Error = 0.263556, Precision = 0.736444, Recall = 0.736444, F1 = 0.736444, Processing Filename: demo\DataExample2.train.txtClassifier:MCAdaBoostM1 -- WekaClassify -MultiClassWrapper 0 -- trees.J48Message: Testing on File demo\DataExample2.test.txt,  Classification, Error = 0.263556, Precision = 0.736444, Recall = 0.736444, F1 = 0.736444, Processing Filename: demo\DataExample2.train.txtClassifier:MCAdaBoostM1 -- WekaClassify -MultiClassWrapper 0 -- trees.J48Message: Testing on File demo\DataExample2.test.txt,  Classification, Error = 0.263556, Precision = 0.736444, Recall = 0.736444, F1 = 0.736444, Processing Filename: demo\DataExample2.train.txtClassifier:MCAdaBoostM1 -- WekaClassify -MultiClassWrapper 0 -- trees.J48Message: Testing on File demo\DataExample2.test.txt,  Classification, Error = 0.263556, Precision = 0.736444, Recall = 0.736444, F1 = 0.736444,

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