DEVELOPMENT... OpenML
Run
111665

Run 111665

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.8888
Per class
Build CPU time
4.7383
Build memory
1695830204.8
F measure
0.8578
Per class
Kappa
0.7145
KB relative information score
356.35
Mean absolute error
0.1431
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8582
Per class
Predictive accuracy
0.858
Prior entropy
0.9978
Recall
0.858
Per class
Relative absolute error
0.2871
Root mean prior squared error
0.4992
Root mean squared error
0.3747
Root relative squared error
0.7506
SciMark benchmark
931.9671