DEVELOPMENT... OpenML
Run
113714

Run 113714

Task 1799 (Supervised Classification) dermatology 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)_I10
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
0.9933
Per class
Build CPU time
0.1137
Build memory
689401323.2
F measure
0.9417
Per class
Kappa
0.9267
KB relative information score
1695.5686
Mean absolute error
0.0199
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9429
Per class
Predictive accuracy
0.9415
Prior entropy
2.4378
Recall
0.9415
Per class
Relative absolute error
0.0746
Root mean prior squared error
0.3649
Root mean squared error
0.1306
Root relative squared error
0.3579
SciMark benchmark
913.3372