DEVELOPMENT... OpenML
Run
138447

Run 138447

Task 3542 (Supervised Classification) analcatdata_lawsuit 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)_I40
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
0.9598
Per class
Build CPU time
0.0172
Build memory
1056107055.2121
F measure
0.9697
Per class
Kappa
0.7731
KB relative information score
180.0373
Mean absolute error
0.0306
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9697
Per class
Predictive accuracy
0.9697
Prior entropy
0.385
Recall
0.9697
Per class
Relative absolute error
0.2241
Root mean prior squared error
0.2585
Root mean squared error
0.1683
Root relative squared error
0.6513
SciMark benchmark
874.2668