Run
8872466

Run 8872466

Task 167132 (Supervised Classification) Speech Uploaded 07-03-2018 by Leroy Visser
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.svm.classe s.LinearSVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.LinearSVC(5)_C1.0
sklearn.svm.classes.LinearSVC(5)_class_weightnull
sklearn.svm.classes.LinearSVC(5)_dualtrue
sklearn.svm.classes.LinearSVC(5)_fit_intercepttrue
sklearn.svm.classes.LinearSVC(5)_intercept_scaling1
sklearn.svm.classes.LinearSVC(5)_loss"squared_hinge"
sklearn.svm.classes.LinearSVC(5)_max_iter1000
sklearn.svm.classes.LinearSVC(5)_multi_class"ovr"
sklearn.svm.classes.LinearSVC(5)_penalty"l2"
sklearn.svm.classes.LinearSVC(5)_random_state5169
sklearn.svm.classes.LinearSVC(5)_tol0.0001
sklearn.svm.classes.LinearSVC(5)_verbose0
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"median"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.svm.classes.LinearSVC)(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
0.6095 ± 0.1124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.976 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2362 ± 0.2244
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-445.6568 ± 126.5598
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0231 ± 0.0067
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 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9769 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9769 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.703 ± 0.2106
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
0.1519 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1903 ± 0.1927
Cross-validation details (10-fold Crossvalidation)