DEVELOPMENT... OpenML
Run
134436

Run 134436

Task 3722 (Supervised Classification) hungarian 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)_I10
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
0.7143
Per class
Build CPU time
0.0101
Build memory
1298884215.3197
F measure
0.7329
Per class
Kappa
0.4174
KB relative information score
118.0872
Mean absolute error
0.2678
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7318
Per class
Predictive accuracy
0.7347
Prior entropy
0.9439
Recall
0.7347
Per class
Relative absolute error
0.5804
Root mean prior squared error
0.4802
Root mean squared error
0.5082
Root relative squared error
1.0584
SciMark benchmark
939.084