DEVELOPMENT... OpenML
Run
139502

Run 139502

Task 1787 (Supervised Classification) cmc 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
0.6932
Per class
Build CPU time
0.0475
Build memory
888755196.9629
F measure
0.5137
Per class
Kappa
0.2437
KB relative information score
1235.3766
Mean absolute error
0.3884
Mean prior absolute error
0.4308
Number of instances
7365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5138
Per class
Predictive accuracy
0.5165
Prior entropy
1.5392
Recall
0.5165
Per class
Relative absolute error
0.9016
Root mean prior squared error
0.4641
Root mean squared error
0.4403
Root relative squared error
0.9487
SciMark benchmark
918.7639