Run
1747

Run 1747

Task 403 (Supervised Classification) eeg-eye-state Uploaded 17-10-2024 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_state18955
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
0.8422 ± 0.0112
Per class
F measure
0.8442 ± 0.0104
Per class
Kappa
0.685 ± 0.0213
KB relative information score
0.6838 ± 0.0208
Mean absolute error
0.1557 ± 0.0103
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8443 ± 0.0103
Number of instances
14980
Per class
Precision
0.8442 ± 0.0104
Per class
Predictive accuracy
0.8443 ± 0.0103
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3148 ± 0.0207
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3946 ± 0.0128
Root relative squared error
0.7935 ± 0.0257
Unweighted recall
0.8422 ± 0.0112