DEVELOPMENT... OpenML
Run
111448

Run 111448

Task 2079 (Supervised Classification) eucalyptus 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
0.8086
Per class
Build CPU time
1.5712
Build memory
384991175.7174
F measure
0.6532
Per class
Kappa
0.5561
KB relative information score
433.2334
Mean absolute error
0.1386
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6546
Per class
Predictive accuracy
0.6549
Prior entropy
2.2629
Recall
0.6549
Per class
Relative absolute error
0.4426
Root mean prior squared error
0.3957
Root mean squared error
0.3685
Root relative squared error
0.9313
SciMark benchmark
945.0532