Run
23258

Run 23258

Task 29 (Supervised Classification) credit-approval Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(1)_I20
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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.

19 Evaluation measures

Area under ROC curve
0.8788
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8491
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6943
Cross-validation details (10-fold Crossvalidation)
KB relative information score
476.8225
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1518
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8493
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3865
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7777
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.0387[553.02492572585251014.1868590421574456.9114330104127904.880888052811721.1891477797153]