DEVELOPMENT... OpenML
Run
23258

Run 23258

Task 29 (Supervised Classification) credit-approval Uploaded 24-06-2014 by Felicia West
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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
F measure
0.8491
Per class
Kappa
0.6943
KB relative information score
476.8225
Mean absolute error
0.1518
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8491
Per class
Predictive accuracy
0.8493
Prior entropy
0.9913
Recall
0.8493
Per class
Relative absolute error
0.3074
Root mean prior squared error
0.497
Root mean squared error
0.3865
Root relative squared error
0.7777
SciMark benchmark
930.0387[553.02492572585251014.1868590421574456.9114330104127904.880888052811721.1891477797153]