DEVELOPMENT... OpenML
Run
132110

Run 132110

Task 3800 (Supervised Classification) fri_c3_500_50 Uploaded 26-12-2014 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)_I80
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
0.904
Per class
Build CPU time
0.2967
Build memory
749725568.8
F measure
0.8372
Per class
Kappa
0.668
KB relative information score
147.8992
Mean absolute error
0.3709
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.838
Per class
Predictive accuracy
0.838
Prior entropy
0.9882
Recall
0.838
Per class
Relative absolute error
0.7541
Root mean prior squared error
0.4959
Root mean squared error
0.3938
Root relative squared error
0.7941
SciMark benchmark
940.5537