Run
8885987

Run 8885987

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Yuntao Li
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Flow

imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,scaler= sklearn.preprocessing.data.StandardScaler,logistic=sklearn.linear_model.log istic.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)_C0.01
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_state26454
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
imblearn.over_sampling.smote.SMOTE(1)_knull
imblearn.over_sampling.smote.SMOTE(1)_k_neighbors5
imblearn.over_sampling.smote.SMOTE(1)_kind"regular"
imblearn.over_sampling.smote.SMOTE(1)_mnull
imblearn.over_sampling.smote.SMOTE(1)_m_neighbors10
imblearn.over_sampling.smote.SMOTE(1)_n_jobs1
imblearn.over_sampling.smote.SMOTE(1)_out_step0.5
imblearn.over_sampling.smote.SMOTE(1)_random_state12
imblearn.over_sampling.smote.SMOTE(1)_ratio1.0
imblearn.over_sampling.smote.SMOTE(1)_svm_estimatornull
imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,scaler=sklearn.preprocessing.data.StandardScaler,logistic=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

Area under ROC curve
0.8111 ± 0.1201
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.965 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.21 ± 0.1109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-23812.4562 ± 170.3669
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0723 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9758 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.956 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.956 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.2043 ± 0.1968
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1847 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4478 ± 0.1347
Cross-validation details (10-fold Crossvalidation)