Run
10434802

Run 10434802

Task 14964 (Supervised Classification) artificial-characters Uploaded 21-12-2019 by Peng YU
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Flow

sklearn.ensemble._weight_boosting.AdaBoostClassifier(base_estimator=bsplitz .DecisionStumpClassifierV3)(1)An AdaBoost classifier. An AdaBoost [1] classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset but where the weights of incorrectly classified instances are adjusted such that subsequent classifiers focus more on difficult cases. This class implements the algorithm known as AdaBoost-SAMME [2].
bsplitz.DecisionStumpClassifierV3(1)_default_feature_type"numerical"
bsplitz.DecisionStumpClassifierV3(1)_nominal_method"bsplitz"
bsplitz.DecisionStumpClassifierV3(1)_non_default_feature_colmns"7"
sklearn.ensemble._weight_boosting.AdaBoostClassifier(base_estimator=bsplitz.DecisionStumpClassifierV3)(1)_algorithm"SAMME.R"
sklearn.ensemble._weight_boosting.AdaBoostClassifier(base_estimator=bsplitz.DecisionStumpClassifierV3)(1)_learning_rate1.0
sklearn.ensemble._weight_boosting.AdaBoostClassifier(base_estimator=bsplitz.DecisionStumpClassifierV3)(1)_n_estimators50
sklearn.ensemble._weight_boosting.AdaBoostClassifier(base_estimator=bsplitz.DecisionStumpClassifierV3)(1)_random_state25626

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.

16 Evaluation measures

Area under ROC curve
0.6637 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0614 ± 0.023
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0572 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.176 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.179 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.1845 ± 0.0192
Cross-validation details (10-fold Crossvalidation)
Number of instances
10218
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1845 ± 0.0192
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2848 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9831 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2992 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2956 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.988 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.1425 ± 0.0157
Cross-validation details (10-fold Crossvalidation)