DEVELOPMENT... OpenML
Run
145328

Run 145328

Task 3011 (Supervised Classification) hypothyroid 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)_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.

22 Evaluation measures

Area under ROC curve
0.9954
Per class
F measure
0.9959
Per class
Kappa
0.9727
KB relative information score
3573.042
Mean absolute error
0.002
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9958
Per class
Predictive accuracy
0.996
Prior entropy
0.4715
Recall
0.996
Per class
Relative absolute error
0.0275
Root mean prior squared error
0.1904
Root mean squared error
0.0438
Root relative squared error
0.2301
SciMark benchmark
941.8057
UserCPU time millis
13040
UserCPU time millis testing
20
UserCPU time millis training
13020