DEVELOPMENT... OpenML
Run
129949

Run 129949

Task 1786 (Supervised Classification) mfeat-zernike 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)_I80
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
0.5719
Per class
Build CPU time
0.0268
Build memory
475740052.8
F measure
0.2233
Per class
Kappa
0.1439
KB relative information score
1942.4385
Mean absolute error
0.1541
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2212
Per class
Predictive accuracy
0.2295
Prior entropy
3.3219
Recall
0.2295
Per class
Relative absolute error
0.8561
Root mean prior squared error
0.3
Root mean squared error
0.3926
Root relative squared error
1.3085
SciMark benchmark
925.481