DEVELOPMENT... OpenML
Run
139156

Run 139156

Task 3680 (Supervised Classification) chscase_vine1 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)_I20
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
0.8891
Per class
Build CPU time
0.0038
Build memory
115037969.6923
F measure
0.8655
Per class
Kappa
0.73
KB relative information score
33.7315
Mean absolute error
0.1811
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8663
Per class
Predictive accuracy
0.8654
Prior entropy
0.996
Recall
0.8654
Per class
Relative absolute error
0.3643
Root mean prior squared error
0.4985
Root mean squared error
0.3601
Root relative squared error
0.7224
SciMark benchmark
943.678