DEVELOPMENT... OpenML
Run
112248

Run 112248

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)_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
0.9007
Per class
Build CPU time
2.401
Build memory
3093793977.6
F measure
0.8579
Per class
Kappa
0.7147
KB relative information score
361.8918
Mean absolute error
0.1371
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
0.8581
Per class
Predictive accuracy
0.858
Prior entropy
0.9978
Recall
0.858
Per class
Relative absolute error
0.275
Root mean prior squared error
0.4992
Root mean squared error
0.3628
Root relative squared error
0.7268
SciMark benchmark
927.3354