DEVELOPMENT... OpenML
Run
145596

Run 145596

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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.

22 Evaluation measures

Area under ROC curve
0.7497
Per class
F measure
0.839
Per class
Kappa
0.3436
KB relative information score
66.1926
Mean absolute error
0.1695
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
0.839
Per class
Predictive accuracy
0.839
Prior entropy
0.5956
Recall
0.839
Per class
Relative absolute error
0.6886
Root mean prior squared error
0.3502
Root mean squared error
0.3911
Root relative squared error
1.1167
SciMark benchmark
927.0753
UserCPU time millis
1080
UserCPU time millis testing
10
UserCPU time millis training
1070