Run
1847760

Run 1847760

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 23-02-2017 by Niels Hellinga
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  • NumPy_1.11.3. Python_3.5.2. run_task SciPy_0.18.1. sklearn.tree.tree.DecisionTreeClassifier Sklearn_0.18.1. Thu_Feb_23_14.58.21_2017
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.DecisionTreeClassifier(6)Automatically created sub-component.
sklearn.tree.tree.DecisionTreeClassifier(6)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(6)_criteriongini
sklearn.tree.tree.DecisionTreeClassifier(6)_max_depthNone
sklearn.tree.tree.DecisionTreeClassifier(6)_max_featuresNone
sklearn.tree.tree.DecisionTreeClassifier(6)_max_leaf_nodesNone
sklearn.tree.tree.DecisionTreeClassifier(6)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(6)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(6)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(6)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(6)_presortFalse
sklearn.tree.tree.DecisionTreeClassifier(6)_random_stateNone
sklearn.tree.tree.DecisionTreeClassifier(6)_splitterbest

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
0.8425
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8445
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6855
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10250.7313
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1555
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
0.8444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8445
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8445
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3142
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3943
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7928
Cross-validation details (10-fold Crossvalidation)