DEVELOPMENT... OpenML
Run
111376

Run 111376

Task 283 (Supervised Classification) vehicle 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)_I80
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
0.8644
Per class
Build CPU time
1.764
Build memory
42752264
F measure
0.7743
Per class
Kappa
0.7037
KB relative information score
203.9949
Mean absolute error
0.1118
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
0.7761
Per class
Predictive accuracy
0.7778
Prior entropy
1.9991
Recall
0.7778
Per class
Relative absolute error
0.2984
Root mean prior squared error
0.4328
Root mean squared error
0.3316
Root relative squared error
0.7662
SciMark benchmark
925.481