DEVELOPMENT... OpenML
Run
129856

Run 129856

Task 35 (Supervised Classification) dermatology 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
0.6341
Per class
Build CPU time
0.0029
Build memory
269896587.3443
F measure
0.3921
Per class
Kappa
0.2537
KB relative information score
108.1122
Mean absolute error
0.194
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3977
Per class
Predictive accuracy
0.418
Prior entropy
2.4378
Recall
0.418
Per class
Relative absolute error
0.7281
Root mean prior squared error
0.3649
Root mean squared error
0.4404
Root relative squared error
1.2071
SciMark benchmark
916.8903