Run
371

Run 371

Task 403 (Supervised Classification) eeg-eye-state Uploaded 03-07-2024 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(2)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(2)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(2)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(2)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(2)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(2)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(2)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(2)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_random_state60906
sklearn.tree._classes.DecisionTreeClassifier(2)_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
0.8422 ± 0.0121
Per class
F measure
0.8441 ± 0.0114
Per class
Kappa
0.6848 ± 0.0233
KB relative information score
0.6835 ± 0.023
Mean absolute error
0.1559 ± 0.0113
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8441 ± 0.0113
Number of instances
14980
Per class
Precision
0.844 ± 0.0115
Per class
Predictive accuracy
0.8441 ± 0.0113
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3151 ± 0.0229
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3948 ± 0.0142
Root relative squared error
0.7938 ± 0.0285
Unweighted recall
0.8422 ± 0.0121