Run
8942100

Run 8942100

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 03-04-2018 by Rui Quintino
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Flow

sklearn.tree.tree.ExtraTreeClassifier(12)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(12)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(12)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(12)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(12)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(12)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(12)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(12)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(12)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(12)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(12)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(12)_random_state43944
sklearn.tree.tree.ExtraTreeClassifier(12)_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
0.7888 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7913 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.578 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8632.3531 ± 39.1483
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2087 ± 0.0129
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
0.7912 ± 0.013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7913 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7913 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4218 ± 0.026
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4568 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9185 ± 0.0286
Cross-validation details (10-fold Crossvalidation)