DEVELOPMENT... OpenML
Run
138606

Run 138606

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.755
Per class
Build CPU time
0.0061
Build memory
856664607.4483
F measure
0.6782
Per class
Kappa
0.3566
KB relative information score
30.0273
Mean absolute error
0.3292
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.679
Per class
Predictive accuracy
0.6782
Prior entropy
0.9992
Recall
0.6782
Per class
Relative absolute error
0.6591
Root mean prior squared error
0.4997
Root mean squared error
0.4982
Root relative squared error
0.9969
SciMark benchmark
940.5101