OpenML
8391

Run 8391

Task 403 (Supervised Classification) eeg-eye-state Uploaded 22-01-2024 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(9)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(9)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(9)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(9)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(9)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(9)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(9)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(9)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(9)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(9)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(9)_random_state25690
sklearn.tree._classes.DecisionTreeClassifier(9)_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
0.8417 ± 0.0115
Per class
F measure
0.8437 ± 0.0108
Per class
Kappa
0.684 ± 0.022
KB relative information score
0.6828 ± 0.0215
Mean absolute error
0.1562 ± 0.0106
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8438 ± 0.0106
Number of instances
14980
Per class
Precision
0.8437 ± 0.0107
Per class
Predictive accuracy
0.8438 ± 0.0106
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3157 ± 0.0214
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3952 ± 0.0131
Root relative squared error
0.7946 ± 0.0264
Unweighted recall
0.8417 ± 0.0115