Run
1836601

Run 1836601

Task 9988 (Supervised Classification) wholesale-customers 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_19.07.51_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
0.8581
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8732
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.711
Cross-validation details (10-fold Crossvalidation)
KB relative information score
304.4278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1273
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4374
Cross-validation details (10-fold Crossvalidation)
Number of instances
440
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8738
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9082
Cross-validation details (10-fold Crossvalidation)
Recall
0.8727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.291
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7631
Cross-validation details (10-fold Crossvalidation)