Run
10154386

Run 10154386

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 02-02-2019 by yun tang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.ExtraTreeClassifier(15)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(15)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(15)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(15)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(15)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(15)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(15)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(15)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(15)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(15)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(15)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(15)_random_state56989
sklearn.tree.tree.ExtraTreeClassifier(15)_splitter"random"

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.

17 Evaluation measures

Area under ROC curve
0.7963 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7983 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5924 ± 0.0284
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8843.5342 ± 42.6559
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2017 ± 0.014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7983 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7983 ± 0.014
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7983 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4077 ± 0.0283
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4491 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.903 ± 0.031
Cross-validation details (10-fold Crossvalidation)