DEVELOPMENT... OpenML
Run
115433

Run 115433

Task 1786 (Supervised Classification) mfeat-zernike Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(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.

21 Evaluation measures

Area under ROC curve
0.9634
Per class
Build CPU time
30.2311
Build memory
87862412.8
F measure
0.7719
Per class
Kappa
0.7364
KB relative information score
7709.7154
Mean absolute error
0.0484
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
0.7843
Per class
Predictive accuracy
0.7628
Prior entropy
3.3219
Recall
0.7628
Per class
Relative absolute error
0.2686
Root mean prior squared error
0.3
Root mean squared error
0.1964
Root relative squared error
0.6548
SciMark benchmark
934.6076