dataexample3.txt.result

来自「this is also good for learning SVM algor」· RESULT 代码 · 共 26 行

RESULT
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Processing Filename: demo\DataExample3.txtClassifier:SVM_light -Kernel 0 -CostFactor 10Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled Error = 0.182000, Precision = 0.216998, Recall = 0.845070, F1 = 0.345324, Error = 0.182000, Precision = 0.216998, Recall = 0.845070, F1 = 0.345324, Error = 0.182000, Precision = 0.216998, Recall = 0.845070, F1 = 0.345324, Processing Filename: demo\DataExample3.txtClassifier:SVM_light -Kernel 0 -CostFactor 10Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled Error = 0.182000, Precision = 0.216998, Recall = 0.845070, F1 = 0.345324, Processing Filename: demo\DataExample3.txtClassifier:SVM_light -Kernel 0 -CostFactor 10Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled Processing Filename: demo\DataExample3.txtClassifier:SVM_light -Kernel 0 -CostFactor 10Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled Processing Filename: demo\DataExample3.txtClassifier:SVM_light -Kernel 0 -CostFactor 10Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled Error = 0.182000, Precision = 0.216998, Recall = 0.845070, F1 = 0.345324,

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