Run
6043259

Run 6043259

Task 146543 (Supervised Classification) ML2017-challenge-1 Uploaded 24-07-2017 by João Carvalho
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Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn. tree.tree.DecisionTreeClassifier)(3)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(11)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(11)_criterion"entropy"
sklearn.tree.tree.DecisionTreeClassifier(11)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(11)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(11)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(11)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(11)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(11)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(11)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(11)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(11)_random_state35947
sklearn.tree.tree.DecisionTreeClassifier(11)_splitter"best"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_algorithm"SAMME"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_n_estimators400
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_random_state16692

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
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9925
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1736.3264
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2707
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9962
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5424
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2721
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5448
Cross-validation details (10-fold Crossvalidation)