DEVELOPMENT... OpenML
Run
111187

Run 111187

Task 3799 (Supervised Classification) fri_c3_500_10 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)_I160
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
0.9124
Per class
Build CPU time
1.947
Build memory
2633164458.4
F measure
0.9079
Per class
Kappa
0.8143
KB relative information score
406.8325
Mean absolute error
0.0921
Mean prior absolute error
0.4961
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
0.908
Per class
Predictive accuracy
0.908
Prior entropy
0.9945
Recall
0.908
Per class
Relative absolute error
0.1856
Root mean prior squared error
0.4981
Root mean squared error
0.3017
Root relative squared error
0.6058
SciMark benchmark
931.9671