DEVELOPMENT... OpenML
Run
110054

Run 110054

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6333
Per class
Build CPU time
0.0168
Build memory
86119987.0054
F measure
0.8207
Per class
Kappa
0.2747
KB relative information score
42.6195
Mean absolute error
0.1819
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
0.8221
Per class
Predictive accuracy
0.8193
Prior entropy
0.5956
Recall
0.8193
Per class
Relative absolute error
0.7391
Root mean prior squared error
0.3502
Root mean squared error
0.4242
Root relative squared error
1.2114
SciMark benchmark
923.3659