DEVELOPMENT... OpenML
Run
112660

Run 112660

Task 3044 (Supervised Classification) hypothyroid Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I20
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.994
Per class
Build CPU time
1.213
Build memory
483098736
F measure
0.9964
Per class
Kappa
0.9785
KB relative information score
1204.6867
Mean absolute error
0.0016
Mean prior absolute error
0.0736
Number of instances
1244
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9961
Per class
Predictive accuracy
0.9968
Prior entropy
0.4715
Recall
0.9968
Per class
Relative absolute error
0.0218
Root mean prior squared error
0.1923
Root mean squared error
0.0397
Root relative squared error
0.2064
SciMark benchmark
943.4039