Run
8885414

Run 8885414

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Maarten van Asseldonk
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.for est.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsCl assifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklea rn.naive_bayes.GaussianNB)(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_neighbors2
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state37905
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.naive_bayes.GaussianNB(7)_priorsnull
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklearn.naive_bayes.GaussianNB)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklearn.naive_bayes.GaussianNB)(1)_n_jobs-1
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklearn.naive_bayes.GaussianNB)(1)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,kn=sklearn.neighbors.classification.KNeighborsClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier,nb=sklearn.naive_bayes.GaussianNB)(1)_weightsnull
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_copy_X_traintrue
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_kernelnull
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_max_iter_predict100
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_multi_class"one_vs_rest"
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_n_jobs1
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_n_restarts_optimizer0
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_optimizer"fmin_l_bfgs_b"
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_random_state26687
sklearn.gaussian_process.gpc.GaussianProcessClassifier(2)_warm_startfalse

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
0.8546 ± 0.0952
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9799 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2388 ± 0.0848
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-86762.3567 ± 62.3453
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1478 ± 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
0.981 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9848 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9848 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.5054 ± 0.1235
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
0.1691 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3257 ± 0.0509
Cross-validation details (10-fold Crossvalidation)