DEVELOPMENT... OpenML
Run
118569

Run 118569

Task 3044 (Supervised Classification) hypothyroid Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9942
Per class
Build CPU time
8.928
Build memory
1018111376
F measure
0.9916
Per class
Kappa
0.9459
KB relative information score
1159.6924
Mean absolute error
0.0037
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
0.9913
Per class
Predictive accuracy
0.992
Prior entropy
0.4715
Recall
0.992
Per class
Relative absolute error
0.05
Root mean prior squared error
0.1923
Root mean squared error
0.0546
Root relative squared error
0.2837
SciMark benchmark
916.8516