DEVELOPMENT... OpenML
Run
139614

Run 139614

Task 2074 (Supervised Classification) satimage 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
0.9865
Per class
Build CPU time
1.7822
Build memory
653042039.2
F measure
0.8928
Per class
Kappa
0.869
KB relative information score
5639.1451
Mean absolute error
0.0372
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8921
Per class
Predictive accuracy
0.8941
Prior entropy
2.4836
Recall
0.8941
Per class
Relative absolute error
0.1378
Root mean prior squared error
0.3675
Root mean squared error
0.1674
Root relative squared error
0.4556
SciMark benchmark
939.8609

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