Run
8884567

Run 8884567

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Michiel Verburg
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors .classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.Logis ticRegression)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors1
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.linear_model.logistic.LogisticRegression(10)_C0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state20174
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.neighbors.classification.KNeighborsClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_weightsnull

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
0.8876 ± 0.0778
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9871 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.581 ± 0.2236
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-106780.4547 ± 57.8654
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2276 ± 0.0031
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
0.9866 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9878 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9878 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
6.9377 ± 0.2179
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
0.2374 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.861 ± 0.0704
Cross-validation details (10-fold Crossvalidation)