Run
1500

Run 1500

Task 403 (Supervised Classification) eeg-eye-state Uploaded 25-02-2021 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(1)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(1)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(1)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(1)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(1)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(1)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(1)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(1)_random_state4952
sklearn.tree._classes.DecisionTreeClassifier(1)_splitter"best"

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.

18 Evaluation measures

Area under ROC curve
0.8412 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8432 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.683 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6817 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1567 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8433 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8432 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8433 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3168 ± 0.0267
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3959 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.796 ± 0.0327
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8412 ± 0.014
Cross-validation details (10-fold Crossvalidation)