DEVELOPMENT... OpenML
Run
134049

Run 134049

Task 27 (Supervised Classification) colic 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)_I10
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
0.8366
Per class
Build CPU time
0.067
Build memory
635858061.7391
F measure
0.7972
Per class
Kappa
0.5672
KB relative information score
192.7806
Mean absolute error
0.2174
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7988
Per class
Predictive accuracy
0.7962
Prior entropy
0.9509
Recall
0.7962
Per class
Relative absolute error
0.4663
Root mean prior squared error
0.4827
Root mean squared error
0.4374
Root relative squared error
0.9063
SciMark benchmark
946.9091

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