DEVELOPMENT... OpenML
Run
139447

Run 139447

Task 257 (Supervised Classification) colic Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.8262
Per class
Build CPU time
0.031
Build memory
17572456
F measure
0.7836
Per class
Kappa
0.5627
KB relative information score
69.4665
Mean absolute error
0.227
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.786
Per class
Predictive accuracy
0.7851
Prior entropy
0.9509
Recall
0.7851
Per class
Relative absolute error
0.4649
Root mean prior squared error
0.505
Root mean squared error
0.4305
Root relative squared error
0.8524
SciMark benchmark
926.9332