DEVELOPMENT... OpenML
Run
138208

Run 138208

Task 27 (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)_I40
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
0.874
Per class
Build CPU time
0.1403
Build memory
103214514.0652
F measure
0.8201
Per class
Kappa
0.6128
KB relative information score
217.9086
Mean absolute error
0.1869
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
0.8197
Per class
Predictive accuracy
0.8207
Prior entropy
0.9509
Recall
0.8207
Per class
Relative absolute error
0.401
Root mean prior squared error
0.4827
Root mean squared error
0.3891
Root relative squared error
0.8061
SciMark benchmark
942.573