DEVELOPMENT... OpenML
Run
134827

Run 134827

Task 3044 (Supervised Classification) hypothyroid Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.989
Per class
Build CPU time
0.013
Build memory
789224912
F measure
0.9844
Per class
Kappa
0.8957
KB relative information score
1058.1899
Mean absolute error
0.0089
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
0.9851
Per class
Predictive accuracy
0.9839
Prior entropy
0.4715
Recall
0.9839
Per class
Relative absolute error
0.1203
Root mean prior squared error
0.1923
Root mean squared error
0.087
Root relative squared error
0.4524
SciMark benchmark
939.084

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