OpenML
494

Run 494

Task 403 (Supervised Classification) eeg-eye-state Uploaded 11-01-2024 by Test Test
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_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_state17513
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
0.843 ± 0.0132
Per class
F measure
0.8448 ± 0.0126
Per class
Kappa
0.6863 ± 0.0257
KB relative information score
0.685 ± 0.0255
Mean absolute error
0.1551 ± 0.0125
Mean prior absolute error
0.4948 ± 0
Weighted recall
0.8449 ± 0.0125
Number of instances
14980
Per class
Precision
0.8448 ± 0.0127
Per class
Predictive accuracy
0.8449 ± 0.0125
Prior entropy
0.9924 ± 0.0001
Relative absolute error
0.3136 ± 0.0254
Root mean prior squared error
0.4974 ± 0
Root mean squared error
0.3939 ± 0.0156
Root relative squared error
0.7919 ± 0.0314
Unweighted recall
0.843 ± 0.0132