DEVELOPMENT... OpenML
Run
117823

Run 117823

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7652
Per class
Build CPU time
5.4572
Build memory
367345763.864
F measure
0.8324
Per class
Kappa
0.2919
KB relative information score
60.2502
Mean absolute error
0.1732
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
0.8272
Per class
Predictive accuracy
0.839
Prior entropy
0.5956
Recall
0.839
Per class
Relative absolute error
0.7035
Root mean prior squared error
0.3502
Root mean squared error
0.3841
Root relative squared error
1.0968
SciMark benchmark
937.279