DEVELOPMENT... OpenML
Run
134816

Run 134816

Task 29 (Supervised Classification) credit-approval Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8723
Per class
Build CPU time
0.0594
Build memory
756012540
F measure
0.8388
Per class
Kappa
0.6731
KB relative information score
465.2685
Mean absolute error
0.1598
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
0.8389
Per class
Predictive accuracy
0.8391
Prior entropy
0.9913
Recall
0.8391
Per class
Relative absolute error
0.3236
Root mean prior squared error
0.497
Root mean squared error
0.3932
Root relative squared error
0.7912
SciMark benchmark
939.084