DEVELOPMENT... OpenML
Run
131229

Run 131229

Task 3044 (Supervised Classification) hypothyroid Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9989
Per class
Build CPU time
0.901
Build memory
2552681320
F measure
0.9932
Per class
Kappa
0.9561
KB relative information score
989.0534
Mean absolute error
0.0163
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
0.9927
Per class
Predictive accuracy
0.9936
Prior entropy
0.4715
Recall
0.9936
Per class
Relative absolute error
0.221
Root mean prior squared error
0.1923
Root mean squared error
0.0689
Root relative squared error
0.3583
SciMark benchmark
937.5757