DEVELOPMENT... OpenML
Run
133641

Run 133641

Task 3060 (Supervised Classification) squash-stored Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.7557
Per class
Build CPU time
0.011
Build memory
1244923776
F measure
0.5138
Per class
Kappa
0.1905
KB relative information score
4.9653
Mean absolute error
0.3307
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
0.5743
Per class
Predictive accuracy
0.5294
Prior entropy
1.4782
Recall
0.5294
Per class
Relative absolute error
0.7942
Root mean prior squared error
0.4569
Root mean squared error
0.4159
Root relative squared error
0.9102
SciMark benchmark
939.9709