DEVELOPMENT... OpenML
Run
133917

Run 133917

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 28-12-2014 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
0.7636
Per class
Build CPU time
0.096
Build memory
935397742.3828
F measure
0.8284
Per class
Kappa
0.2805
KB relative information score
30.9559
Mean absolute error
0.1802
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.824
Per class
Predictive accuracy
0.8336
Prior entropy
0.5956
Recall
0.8336
Per class
Relative absolute error
0.7322
Root mean prior squared error
0.3502
Root mean squared error
0.3516
Root relative squared error
1.0042
SciMark benchmark
946.9091