DEVELOPMENT... OpenML
Run
145741

Run 145741

Task 35 (Supervised Classification) dermatology Uploaded 31-01-2015 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)_I20
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.

22 Evaluation measures

Area under ROC curve
0.9899
Per class
F measure
0.9645
Per class
Kappa
0.9555
KB relative information score
349.0211
Mean absolute error
0.0118
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
0.9645
Per class
Predictive accuracy
0.9645
Prior entropy
2.4378
Recall
0.9645
Per class
Relative absolute error
0.0445
Root mean prior squared error
0.3649
Root mean squared error
0.1086
Root relative squared error
0.2977
SciMark benchmark
918.4924
UserCPU time millis
5070
UserCPU time millis testing
10
UserCPU time millis training
5060