DEVELOPMENT... OpenML
Run
112965

Run 112965

Task 3857 (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)_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
0.9928
Per class
Build CPU time
0.2858
Build memory
416747353.3995
F measure
0.9858
Per class
Kappa
0.963
KB relative information score
813.1327
Mean absolute error
0.013
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9859
Per class
Predictive accuracy
0.9858
Prior entropy
0.8241
Recall
0.9858
Per class
Relative absolute error
0.034
Root mean prior squared error
0.4374
Root mean squared error
0.1107
Root relative squared error
0.2532
SciMark benchmark
930.5854