Run
3155

Run 3155

Task 403 (Supervised Classification) eeg-eye-state Uploaded 18-10-2024 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(3)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(3)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(3)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(3)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(3)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(3)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(3)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(3)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(3)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(3)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(3)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(3)_random_state29355
sklearn.tree._classes.DecisionTreeClassifier(3)_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
0.8433 ± 0.0142
Per class
F measure
0.8453 ± 0.0136
Per class
Kappa
0.6872 ± 0.0276
KB relative information score
0.6861 ± 0.0274
Mean absolute error
0.1546 ± 0.0135
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8454 ± 0.0135
Number of instances
14980
Per class
Precision
0.8453 ± 0.0136
Per class
Predictive accuracy
0.8454 ± 0.0135
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3125 ± 0.0273
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3932 ± 0.0167
Root relative squared error
0.7906 ± 0.0336
Unweighted recall
0.8433 ± 0.0142