DEVELOPMENT... OpenML
Run
106332

Run 106332

Task 265 (Supervised Classification) dermatology Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(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
0.9948
Per class
Build CPU time
1.609
Build memory
1089324080
F measure
0.9747
Per class
Kappa
0.9684
KB relative information score
114.6699
Mean absolute error
0.0083
Mean prior absolute error
0.2653
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.977
Per class
Predictive accuracy
0.975
Prior entropy
2.4378
Recall
0.975
Per class
Relative absolute error
0.0314
Root mean prior squared error
0.3633
Root mean squared error
0.0913
Root relative squared error
0.2513
SciMark benchmark
937.4026

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