DEVELOPMENT... OpenML
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Run 110728

Task 21 (Supervised Classification) car 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)_I160
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
0.9836
Per class
Build CPU time
0.8689
Build memory
168816788.9861
F measure
0.9728
Per class
Kappa
0.941
KB relative information score
1594.6349
Mean absolute error
0.0137
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9732
Per class
Predictive accuracy
0.9728
Prior entropy
1.2099
Recall
0.9728
Per class
Relative absolute error
0.0598
Root mean prior squared error
0.3381
Root mean squared error
0.1162
Root relative squared error
0.3436
SciMark benchmark
942.3919