DEVELOPMENT... OpenML
Run
134647

Run 134647

Task 23 (Supervised Classification) cmc 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
0.6443
Per class
Build CPU time
0.1729
Build memory
936495887.2288
F measure
0.4766
Per class
Kappa
0.1911
KB relative information score
381.1754
Mean absolute error
0.3476
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.476
Per class
Predictive accuracy
0.4779
Prior entropy
1.5392
Recall
0.4779
Per class
Relative absolute error
0.8069
Root mean prior squared error
0.4641
Root mean squared error
0.5533
Root relative squared error
1.1921
SciMark benchmark
946.9091