Run
8885830

Run 8885830

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Sami Ozarik
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Cl assifier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C0.1
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weight"balanced"
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_state16557
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
sklearn.pipeline.Pipeline(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
0.8661 ± 0.0819
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.977 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0905 ± 0.1367
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-7866.6826 ± 109.0287
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0312 ± 0.0018
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
0.9804 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.984 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.984 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9515 ± 0.0557
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
0.1204 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9434 ± 0.0427
Cross-validation details (10-fold Crossvalidation)