DEVELOPMENT... OpenML
Run
139499

Run 139499

Task 288 (Supervised Classification) waveform-5000 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
0.9348
Per class
Build CPU time
2.128
Build memory
1040418496
F measure
0.7999
Per class
Kappa
0.701
KB relative information score
1186.301
Mean absolute error
0.1396
Mean prior absolute error
0.4444
Number of instances
1650
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8007
Per class
Predictive accuracy
0.8006
Prior entropy
1.5849
Recall
0.8006
Per class
Relative absolute error
0.3142
Root mean prior squared error
0.4714
Root mean squared error
0.3339
Root relative squared error
0.7082
SciMark benchmark
940.572