DEVELOPMENT... OpenML
Run
128157

Run 128157

Task 1799 (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)_I10
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
0.6181
Per class
Build CPU time
0.001
Build memory
307852180.8
F measure
0.3647
Per class
Kappa
0.2299
KB relative information score
520.6466
Mean absolute error
0.1967
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
0.3697
Per class
Predictive accuracy
0.4098
Prior entropy
2.4378
Recall
0.4098
Per class
Relative absolute error
0.7383
Root mean prior squared error
0.3649
Root mean squared error
0.4435
Root relative squared error
1.2156
SciMark benchmark
943.5504