Run
8886903

Run 8886903

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.RobustScaler,Classifier=sklearn.svm.classes.S VC)(1)Automatically created scikit-learn flow.
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)_gamma0.001
sklearn.svm.classes.SVC(16)_kernel"rbf"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilitytrue
sklearn.svm.classes.SVC(16)_random_state54207
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
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_state9324
imblearn.over_sampling.adasyn.ADASYN(2)_ratio"auto"
imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scaler=sklearn.preprocessing.data.RobustScaler,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
0.7938 ± 0.1211
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9778 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2278 ± 0.1447
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4409.7232 ± 146.2692
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0264 ± 0.0032
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
0.9757 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9807 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9807 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8048 ± 0.1037
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
0.127 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9959 ± 0.0886
Cross-validation details (10-fold Crossvalidation)