DEVELOPMENT... OpenML
Run
133539

Run 133539

Task 1775 (Supervised Classification) balance-scale 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
0.9444
Per class
Build CPU time
0.0633
Build memory
1015471181.7882
F measure
0.8242
Per class
Kappa
0.6991
KB relative information score
1798.2023
Mean absolute error
0.1544
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8181
Per class
Predictive accuracy
0.8304
Prior entropy
1.3212
Recall
0.8304
Per class
Relative absolute error
0.4067
Root mean prior squared error
0.4356
Root mean squared error
0.2808
Root relative squared error
0.6446
SciMark benchmark
939.9709