DEVELOPMENT... OpenML
Run
134372

Run 134372

Task 3646 (Supervised Classification) rabe_265 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
0.6619
Per class
Build CPU time
0.001
Build memory
193570605.6471
F measure
0.6796
Per class
Kappa
0.3333
KB relative information score
17.5412
Mean absolute error
0.3137
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6817
Per class
Predictive accuracy
0.6863
Prior entropy
0.9791
Recall
0.6863
Per class
Relative absolute error
0.6468
Root mean prior squared error
0.4922
Root mean squared error
0.5601
Root relative squared error
1.1381
SciMark benchmark
946.9091