DEVELOPMENT... OpenML
Run
138820

Run 138820

Task 35 (Supervised Classification) dermatology Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.997
Per class
Build CPU time
0.0485
Build memory
949266876.6995
F measure
0.9618
Per class
Kappa
0.9521
KB relative information score
346.1759
Mean absolute error
0.015
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
0.9629
Per class
Predictive accuracy
0.9617
Prior entropy
2.4378
Recall
0.9617
Per class
Relative absolute error
0.0564
Root mean prior squared error
0.3649
Root mean squared error
0.1046
Root relative squared error
0.2866
SciMark benchmark
940.5101