Run
2012960

Run 2012960

Task 23 (Supervised Classification) cmc Uploaded 07-04-2017 by Jeroen van Hoof
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  • Fri_Apr__7_03.21.39_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.ensemble.weight_boosting.AdaBoostClassifier Sklearn_0.18.1.
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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_depth1
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
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_base_estimatorDecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=1, 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_rate0.01
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_n_estimators512
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_random_stateNone

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
0.6293
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3967
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.112
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.8234
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4394
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3495
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.465
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.465
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4664
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0049
Cross-validation details (10-fold Crossvalidation)