DEVELOPMENT... OpenML
Run
114317

Run 114317

Task 20 (Supervised Classification) mfeat-pixel 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)_I20
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
0.9942
Per class
Build CPU time
39.2479
Build memory
982641244
F measure
0.9631
Per class
Kappa
0.9589
KB relative information score
1927.1823
Mean absolute error
0.0074
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9633
Per class
Predictive accuracy
0.963
Prior entropy
3.3219
Recall
0.963
Per class
Relative absolute error
0.0412
Root mean prior squared error
0.3
Root mean squared error
0.0817
Root relative squared error
0.2722
SciMark benchmark
945.0532