DEVELOPMENT... OpenML
Run
128591

Run 128591

Task 3890 (Supervised Classification) ada_prior Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.6478
Per class
Build CPU time
0.1223
Build memory
845932677.2556
F measure
0.6956
Per class
Kappa
0.1456
KB relative information score
332.2654
Mean absolute error
0.3145
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6846
Per class
Predictive accuracy
0.7159
Prior entropy
0.8085
Recall
0.7159
Per class
Relative absolute error
0.8429
Root mean prior squared error
0.4319
Root mean squared error
0.4572
Root relative squared error
1.0585
SciMark benchmark
929.5397