Run
8886910

Run 8886910

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Sami Ozarik
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Flow

imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scal er=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.svm.classes .SVC)(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.svm.classes.SVC(16)_C1
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.0
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma"auto"
sklearn.svm.classes.SVC(16)_kernel"linear"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilitytrue
sklearn.svm.classes.SVC(16)_random_state41679
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
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_state21067
imblearn.over_sampling.adasyn.ADASYN(2)_ratio"auto"
imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.svm.classes.SVC)(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
0.6878 ± 0.1353
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9394 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0691 ± 0.0626
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-20716.4961 ± 322.8222
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0954 ± 0.0118
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
0.9716 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9118 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9118 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.9069 ± 0.3878
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
0.2675 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.0967 ± 0.1667
Cross-validation details (10-fold Crossvalidation)