Run
1924163

Run 1924163

Task 21 (Supervised Classification) car Uploaded 02-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task Sat_Apr__1_23.12.40_2017 SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,decis iontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(6)_class_weightNone
sklearn.tree.tree.DecisionTreeClassifier(6)_criteriongini
sklearn.tree.tree.DecisionTreeClassifier(6)_max_depth10
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
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)_steps[('dualimputer', ), ('decisiontreeclassifier', DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=10, max_features=None, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0, presort=False, random_state=None, splitter='best'))]

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
0.9879
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9793
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9545
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1643.0248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0105
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9794
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9792
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9792
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0458
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0925
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2736
Cross-validation details (10-fold Crossvalidation)