DEVELOPMENT... OpenML
Run
131291

Run 131291

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 25-12-2014 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)_I160
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
0.9942
Per class
Build CPU time
0.0118
Build memory
423874137.6
F measure
0.9901
Per class
Kappa
0.9749
KB relative information score
85.0999
Mean absolute error
0.0665
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9904
Per class
Predictive accuracy
0.99
Prior entropy
0.8479
Recall
0.99
Per class
Relative absolute error
0.1678
Root mean prior squared error
0.444
Root mean squared error
0.1424
Root relative squared error
0.3207
SciMark benchmark
941.6106