Run
8882525

Run 8882525

Task 167132 (Supervised Classification) Speech Uploaded 10-03-2018 by T van Diessen
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Flow

sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxSca ler,Classifier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C1.0
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)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state45269
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.pipeline.Pipeline(MinMaxScaler=sklearn.preprocessing.data.MinMaxScaler,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
0.5945 ± 0.094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.977 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2275 ± 0.2161
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-61.1306 ± 109.1025
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0209 ± 0.0057
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
0.9752 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9791 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9791 ± 0.0057
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6368 ± 0.1807
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
0.1445 ± 0.0205
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1329 ± 0.1724
Cross-validation details (10-fold Crossvalidation)