DEVELOPMENT... OpenML
Run
111619

Run 111619

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.7834
Per class
Build CPU time
0.212
Build memory
582172212.8
F measure
0.7582
Per class
Kappa
0.5047
KB relative information score
51.5026
Mean absolute error
0.2354
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7589
Per class
Predictive accuracy
0.76
Prior entropy
0.9864
Recall
0.76
Per class
Relative absolute error
0.4799
Root mean prior squared error
0.4951
Root mean squared error
0.4821
Root relative squared error
0.9739
SciMark benchmark
873.8637