Run
5682

Run 5682

Task 403 (Supervised Classification) eeg-eye-state Uploaded 02-03-2021 by Test Test
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Flow

sklearn.tree._classes.DecisionTreeClassifier(1)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(1)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(1)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(1)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(1)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(1)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(1)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(1)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(1)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(1)_random_state35885
sklearn.tree._classes.DecisionTreeClassifier(1)_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
0.8418 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8435 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6837 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6823 ± 0.0257
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1565 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8435 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8435 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3163 ± 0.0256
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3956 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7953 ± 0.0321
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8418 ± 0.0136
Cross-validation details (10-fold Crossvalidation)