Run
8884578

Run 8884578

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_state52944
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"hard"
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
0.7362 ± 0.1109
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9871 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5686 ± 0.2068
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1573.1058 ± 74.4605
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0117 ± 0.0041
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
0.9868 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9883 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9883 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3556 ± 0.1254
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
0.108 ± 0.0203
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8466 ± 0.1623
Cross-validation details (10-fold Crossvalidation)