DEVELOPMENT... OpenML
Run
136391

Run 136391

Task 3891 (Supervised Classification) gina_agnostic Uploaded 31-12-2014 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
0.792
Per class
Build CPU time
0.1005
Build memory
283293937.4879
F measure
0.7921
Per class
Kappa
0.584
KB relative information score
2025.4178
Mean absolute error
0.2079
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7921
Per class
Predictive accuracy
0.7921
Prior entropy
0.9998
Recall
0.7921
Per class
Relative absolute error
0.4159
Root mean prior squared error
0.4999
Root mean squared error
0.456
Root relative squared error
0.9121
SciMark benchmark
923.564