OpenML
555411

Run 555411

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Duy Pham
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.tree.tree.DecisionTreeClassifier Sklearn_0.17.1. Thu_Apr_14_21.39.14_2016
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.DecisionTreeClassifier(1)Flow generated by run_task
sklearn.tree.tree.DecisionTreeClassifier(1)_splitterbest
sklearn.tree.tree.DecisionTreeClassifier(1)_random_stateNone
sklearn.tree.tree.DecisionTreeClassifier(1)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(1)_max_leaf_nodesNone
sklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(1)_max_depthNone
sklearn.tree.tree.DecisionTreeClassifier(1)_presortFalse
sklearn.tree.tree.DecisionTreeClassifier(1)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(1)_max_featuresNone
sklearn.tree.tree.DecisionTreeClassifier(1)_criterionentropy
sklearn.tree.tree.DecisionTreeClassifier(1)_min_weight_fraction_leaf0.0

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8454
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.847
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6908
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10325.863
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.153
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.847
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.847
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.847
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3093
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3912
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7864
Cross-validation details (10-fold Crossvalidation)