DEVELOPMENT... OpenML
Run
114305

Run 114305

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)_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
0.9893
Per class
Build CPU time
0.1695
Build memory
857117044.8
F measure
0.9524
Per class
Kappa
0.9404
KB relative information score
1721.5906
Mean absolute error
0.0155
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
0.9526
Per class
Predictive accuracy
0.9525
Prior entropy
2.4378
Recall
0.9525
Per class
Relative absolute error
0.0582
Root mean prior squared error
0.3649
Root mean squared error
0.1181
Root relative squared error
0.3238
SciMark benchmark
893.4088