Run
1836347

Run 1836347

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 27-10-2016 by Josep Pon Farreny
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  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.tree.tree.DecisionTreeClassifier Sklearn_0.18. Thu_Oct_27_17.54.48_2016
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.DecisionTreeClassifier(3)Flow generated by run_task
sklearn.tree.tree.DecisionTreeClassifier(3)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(3)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(3)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(3)_max_leaf_nodesNone
sklearn.tree.tree.DecisionTreeClassifier(3)_splitterbest
sklearn.tree.tree.DecisionTreeClassifier(3)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(3)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(3)_random_stateNone
sklearn.tree.tree.DecisionTreeClassifier(3)_criteriongini
sklearn.tree.tree.DecisionTreeClassifier(3)_max_featuresNone
sklearn.tree.tree.DecisionTreeClassifier(3)_presortFalse
sklearn.tree.tree.DecisionTreeClassifier(3)_max_depthNone

Result files

xml
Description

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

csv
Predictions

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

17 Evaluation measures

Area under ROC curve
0.7842
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9671
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5919
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.8165
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0322
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9678
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3848
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1794
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8852
Cross-validation details (10-fold Crossvalidation)