DEVELOPMENT... OpenML
Run
139259

Run 139259

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.8907
Per class
Build CPU time
0.2364
Build memory
836473072.8
F measure
0.7979
Per class
Kappa
0.5956
KB relative information score
296.0672
Mean absolute error
0.2052
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7981
Per class
Predictive accuracy
0.798
Prior entropy
0.9997
Recall
0.798
Per class
Relative absolute error
0.4106
Root mean prior squared error
0.4999
Root mean squared error
0.4097
Root relative squared error
0.8195
SciMark benchmark
939.1359