DEVELOPMENT... OpenML
Run
135718

Run 135718

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.652
Per class
Build CPU time
0.0033
Build memory
1363736897.1306
F measure
0.831
Per class
Kappa
0.3072
KB relative information score
79.7906
Mean absolute error
0.1682
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
0.8301
Per class
Predictive accuracy
0.8318
Prior entropy
0.5956
Recall
0.8318
Per class
Relative absolute error
0.6831
Root mean prior squared error
0.3502
Root mean squared error
0.4101
Root relative squared error
1.171
SciMark benchmark
934.6076