Run
5441

Run 5441

Task 403 (Supervised Classification) eeg-eye-state Uploaded 10-07-2024 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_state41605
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
0.8432 ± 0.0142
Per class
F measure
0.8451 ± 0.0137
Per class
Kappa
0.6868 ± 0.0278
KB relative information score
0.6855 ± 0.0275
Mean absolute error
0.1549 ± 0.0136
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8451 ± 0.0136
Number of instances
14980
Per class
Precision
0.845 ± 0.0137
Per class
Predictive accuracy
0.8451 ± 0.0136
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.313 ± 0.0274
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3935 ± 0.0169
Root relative squared error
0.7912 ± 0.034
Unweighted recall
0.8432 ± 0.0142