DEVELOPMENT... OpenML
Run
137126

Run 137126

Task 1791 (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)_I160
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
0.8462
Per class
Build CPU time
0.0596
Build memory
211321258.4
F measure
0.7953
Per class
Kappa
0.5626
KB relative information score
984.4147
Mean absolute error
0.2124
Mean prior absolute error
0.4662
Number of instances
1840
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7964
Per class
Predictive accuracy
0.7946
Prior entropy
0.9509
Recall
0.7946
Per class
Relative absolute error
0.4557
Root mean prior squared error
0.4827
Root mean squared error
0.4144
Root relative squared error
0.8586
SciMark benchmark
895.3841