DEVELOPMENT... OpenML
Run
135851

Run 135851

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)_I80
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
0.8729
Per class
Build CPU time
0.2814
Build memory
2028887753.6
F measure
0.8636
Per class
Kappa
0.7237
KB relative information score
499.299
Mean absolute error
0.1357
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
0.8636
Per class
Predictive accuracy
0.8638
Prior entropy
0.9913
Recall
0.8638
Per class
Relative absolute error
0.2747
Root mean prior squared error
0.497
Root mean squared error
0.3666
Root relative squared error
0.7376
SciMark benchmark
934.6076