DEVELOPMENT... OpenML
Run
122230

Run 122230

Task 3863 (Supervised Classification) hypothyroid Uploaded 14-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9884
Per class
Build CPU time
1243.6995
Build memory
105693265.5673
F measure
0.996
Per class
Kappa
0.9722
KB relative information score
3618.8979
Mean absolute error
0.004
Mean prior absolute error
0.1426
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
0.996
Per class
Predictive accuracy
0.996
Prior entropy
0.3928
Recall
0.996
Per class
Relative absolute error
0.0279
Root mean prior squared error
0.2668
Root mean squared error
0.0631
Root relative squared error
0.2363
SciMark benchmark
937.9406