Run
8886354

Run 8886354

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

imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Clas sifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
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_state30067
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.adasyn.ADASYN(2)_knull
imblearn.over_sampling.adasyn.ADASYN(2)_n_jobs1
imblearn.over_sampling.adasyn.ADASYN(2)_n_neighbors5
imblearn.over_sampling.adasyn.ADASYN(2)_random_state12968
imblearn.over_sampling.adasyn.ADASYN(2)_ratio"auto"
imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,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

Area under ROC curve
0.7119 ± 0.1433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.946 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0888 ± 0.0813
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14611.3859 ± 294.3718
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0808 ± 0.0141
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
0.9723 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9235 ± 0.0152
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9235 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.4634 ± 0.4571
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
0.2603 ± 0.0253
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.0407 ± 0.2236
Cross-validation details (10-fold Crossvalidation)