DEVELOPMENT... OpenML
Run
115359

Run 115359

Task 283 (Supervised Classification) vehicle Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9301
Per class
Build CPU time
1.733
Build memory
694035344
F measure
0.7672
Per class
Kappa
0.6897
KB relative information score
198.0887
Mean absolute error
0.1258
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7754
Per class
Predictive accuracy
0.767
Prior entropy
1.9991
Recall
0.767
Per class
Relative absolute error
0.3358
Root mean prior squared error
0.4328
Root mean squared error
0.3072
Root relative squared error
0.7098
SciMark benchmark
923.9118