DEVELOPMENT... OpenML
Run
132304

Run 132304

Task 259 (Supervised Classification) credit-approval Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.942
Per class
Build CPU time
0.092
Build memory
2622527424
F measure
0.8809
Per class
Kappa
0.7613
KB relative information score
128.7778
Mean absolute error
0.2392
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8816
Per class
Predictive accuracy
0.8811
Prior entropy
0.9913
Recall
0.8811
Per class
Relative absolute error
0.4805
Root mean prior squared error
0.5008
Root mean squared error
0.3156
Root relative squared error
0.6301
SciMark benchmark
872.1114