Run
2083569

Run 2083569

Task 31 (Supervised Classification) credit-g Uploaded 23-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.ensemble.weight_boosting.AdaBoostClassifier Sklearn_0.18.1. Sun_Apr_23_20.01.49_2017
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=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_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
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_base_estimatorDecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, 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')
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_learning_rate0.1
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_estimators8
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_random_state3

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
0.6433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6879
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2746
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.8596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.318
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.682
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.682
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7569
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5639
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2306
Cross-validation details (10-fold Crossvalidation)