Run
7946730

Run 7946730

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 09-10-2017 by Andreas Mueller
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  • openml-python Sklearn_0.20.dev0.
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Flow

sklearn.tree.tree.ExtraTreeClassifier(9)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(9)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(9)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(9)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(9)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(9)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(9)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(9)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(9)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(9)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(9)_random_state11984
sklearn.tree.tree.ExtraTreeClassifier(9)_splitter"random"

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
0.7806 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7832 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5616 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8386.6521 ± 40.8756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2168 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7831 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7832 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7832 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4381 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4656 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9361 ± 0.029
Cross-validation details (10-fold Crossvalidation)