DEVELOPMENT... OpenML
Run
112524

Run 112524

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)_I20
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
0.9025
Per class
Build CPU time
0.116
Build memory
133669520
F measure
0.7596
Per class
Kappa
0.604
KB relative information score
116.6846
Mean absolute error
0.1489
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
0.7484
Per class
Predictive accuracy
0.7718
Prior entropy
1.3212
Recall
0.7718
Per class
Relative absolute error
0.386
Root mean prior squared error
0.4424
Root mean squared error
0.3719
Root relative squared error
0.8406
SciMark benchmark
917.4547