DEVELOPMENT... OpenML
Run
111880

Run 111880

Task 9 (Supervised Classification) autos 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)_I40
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
0.9256
Per class
Build CPU time
0.1889
Build memory
662999440.6634
F measure
0.8683
Per class
Kappa
0.828
KB relative information score
169.3758
Mean absolute error
0.0381
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8733
Per class
Predictive accuracy
0.8683
Prior entropy
2.3268
Recall
0.8683
Per class
Relative absolute error
0.1723
Root mean prior squared error
0.3318
Root mean squared error
0.1938
Root relative squared error
0.5841
SciMark benchmark
939.0159