DEVELOPMENT... OpenML
Run
132248

Run 132248

Task 23 (Supervised Classification) cmc 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)_I40
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
0.6675
Per class
Build CPU time
6.9266
Build memory
1519394781.8873
F measure
0.512
Per class
Kappa
0.2433
KB relative information score
440.8845
Mean absolute error
0.3263
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5102
Per class
Predictive accuracy
0.5153
Prior entropy
1.5392
Recall
0.5153
Per class
Relative absolute error
0.7573
Root mean prior squared error
0.4641
Root mean squared error
0.5519
Root relative squared error
1.1893
SciMark benchmark
940.5537