with_outlier.txt

#LOGISTIC REGRESSION#
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model score Logistic Regression Standard scaler: 0.846
model score Logistic Regression minMax Scaler: 0.841
model score Logistic Regression maxAbs Scaler: 0.841
model score Logistic Regression robust Scaler: 0.844
model score Logistic Regression quantile normal Scaler: 0.842
model score Logistic Regression quantile Uniform Scaler: 0.838
model score Logistic Regression power  Scaler: 0.840
model score Logistic Regression normalize Scaler: 0.840
#SVC#
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model score SVC Standard scaler: 0.838
model score SVC minMax Scaler: 0.838
model score SVC maxAbs Scaler: 0.838
model score SVC robust Scaler: 0.838
model score SVC quantile normal Scaler: 0.837
model score SVC quantile Uniform Scaler: 0.837
model score SVC power  Scaler: 0.837
model score SVC normalize Scaler: 0.838
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#DT#
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model score DT Standard scaler: 0.728
model score DT minMax Scaler: 0.762
model score DT maxAbs Scaler: 0.703
model score DT robust Scaler: 0.725
model score DT quantile normal Scaler: 0.735
model score DT quantile Uniform Scaler: 0.737
model score DT power  Scaler: 0.748
model score DT normalize Scaler: 0.755
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#RF#
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model score RF Standard scaler: 0.835
model score RF minMax Scaler: 0.841
model score RF maxAbs Scaler: 0.842
model score RF robust Scaler: 0.840
model score RF quantile normal Scaler: 0.843
model score RF quantile Uniform Scaler: 0.840
model score RF power  Scaler: 0.838
model score RF normalize Scaler: 0.838
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#MLP#
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model score MLP Standard scaler: 0.828
model score MLP minMax Scaler: 0.842
model score MLP maxAbs Scaler: 0.843
model score MLP robust Scaler: 0.835
model score MLP quantile normal Scaler: 0.827
model score MLP quantile Uniform Scaler: 0.842
model score MLP power  Scaler: 0.835
model score MLP normalize Scaler: 0.842
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