Run
8886025

Run 8886025

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Sami Ozarik
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Flow

imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,Scaler= sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA ,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
sklearn.linear_model.logistic.LogisticRegression(10)_C1
sklearn.linear_model.logistic.LogisticRegression(10)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state54273
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components4
sklearn.decomposition.pca.PCA(2)_random_state5652
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
imblearn.over_sampling.smote.SMOTE(2)_knull
imblearn.over_sampling.smote.SMOTE(2)_k_neighbors5
imblearn.over_sampling.smote.SMOTE(2)_kind"svm"
imblearn.over_sampling.smote.SMOTE(2)_mnull
imblearn.over_sampling.smote.SMOTE(2)_m_neighbors10
imblearn.over_sampling.smote.SMOTE(2)_n_jobs1
imblearn.over_sampling.smote.SMOTE(2)_out_step0.5
imblearn.over_sampling.smote.SMOTE(2)_random_state48675
imblearn.over_sampling.smote.SMOTE(2)_ratio"auto"
imblearn.over_sampling.smote.SMOTE(2)_svm_estimatornull
imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.7946 ± 0.1015
Per class
Cross-validation details (10-fold Crossvalidation)
0.934 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
0.0952 ± 0.0529
Cross-validation details (10-fold Crossvalidation)
-72196.4397 ± 1070.5325
Cross-validation details (10-fold Crossvalidation)
0.1846 ± 0.0292
Cross-validation details (10-fold Crossvalidation)
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
3686
Per class
Cross-validation details (10-fold Crossvalidation)
0.974 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
0.9012 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9012 ± 0.0223
Per class
Cross-validation details (10-fold Crossvalidation)
5.6287 ± 0.9338
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.2736 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
2.1449 ± 0.2118
Cross-validation details (10-fold Crossvalidation)