Run
10712

Run 10712

Task 403 (Supervised Classification) eeg-eye-state Uploaded 29-11-2022 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(11)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(11)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(11)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(11)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(11)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(11)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(11)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(11)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(11)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(11)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(11)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(11)_random_state56653
sklearn.tree._classes.DecisionTreeClassifier(11)_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
0.8415 ± 0.0129
Per class
F measure
0.8434 ± 0.0119
Per class
Kappa
0.6834 ± 0.0244
KB relative information score
0.6821 ± 0.0239
Mean absolute error
0.1565 ± 0.0118
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8435 ± 0.0118
Number of instances
14980
Per class
Precision
0.8434 ± 0.012
Per class
Predictive accuracy
0.8435 ± 0.0118
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3164 ± 0.0238
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3957 ± 0.0147
Root relative squared error
0.7955 ± 0.0296
Unweighted recall
0.8415 ± 0.0129