Run
10434996

Run 10434996

Task 7593 (Supervised Classification) covertype Uploaded 24-12-2019 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"10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54"
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_state58488

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
0.6488 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0042 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1331 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1668 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.178 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.4893 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Number of instances
581012
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4893 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7387 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9367 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2984 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2921 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9791 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.1435 ± 0.0008
Cross-validation details (10-fold Crossvalidation)