DEVELOPMENT... OpenML
Run
111929

Run 111929

Task 241 (Supervised Classification) balance-scale Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I40
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8774
Per class
Build CPU time
0.25
Build memory
881764912
F measure
0.7636
Per class
Kappa
0.6059
KB relative information score
115.3305
Mean absolute error
0.1521
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7556
Per class
Predictive accuracy
0.7718
Prior entropy
1.3212
Recall
0.7718
Per class
Relative absolute error
0.3943
Root mean prior squared error
0.4424
Root mean squared error
0.3811
Root relative squared error
0.8614
SciMark benchmark
936.1433