DEVELOPMENT... OpenML
Run
134240

Run 134240

Task 3060 (Supervised Classification) squash-stored 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
0.5941
Per class
Build memory
575214968
F measure
0.4223
Per class
Kappa
0.0838
KB relative information score
3.6991
Mean absolute error
0.338
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3832
Per class
Predictive accuracy
0.4706
Prior entropy
1.4782
Recall
0.4706
Per class
Relative absolute error
0.8117
Root mean prior squared error
0.4569
Root mean squared error
0.5629
Root relative squared error
1.2318
SciMark benchmark
939.084