Run
8884577

Run 8884577

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

sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.ensemble. forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegr ession)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weight"balanced"
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_state45551
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
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_state36749
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.ensemble.forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.ensemble.forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.ensemble.forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegression)(1)_voting"hard"
sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.ensemble.forest.RandomForestClassifier,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.

15 Evaluation measures

Area under ROC curve
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
707.9219 ± 0.1389
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0165 ± 0.0009
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)
Predictive accuracy
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5045 ± 0.0125
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
0.1286 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0084 ± 0.0004
Cross-validation details (10-fold Crossvalidation)