Run
8886666

Run 8886666

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Koen Klaren
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Flow

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.for est.RandomForestClassifier)(3)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_estimators10
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state48375
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_cvnull
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_error_score"raise"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_fit_paramsnull
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_iidtrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_n_jobs1
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_param_grid{"max_depth": [3, 5, 7, 8, 9, 11, 13, 15], "n_estimators": [8, 17, 26, 35, 44, 53]}
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_pre_dispatch"2*n_jobs"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_refittrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_return_train_score"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_scoring"roc_auc"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)(3)_verbose0

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.692 ± 0.0834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9766 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0625 ± 0.1191
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-99398.0265 ± 3245.8068
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2356 ± 0.0961
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
0.9842 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.984 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.984 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
7.1835 ± 2.9195
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
0.2669 ± 0.0731
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.0918 ± 0.5693
Cross-validation details (10-fold Crossvalidation)