DEVELOPMENT... OpenML
Run
111127

Run 111127

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9049
Per class
Build CPU time
1.1562
Build memory
753538552.8
F measure
0.8978
Per class
Kappa
0.7944
KB relative information score
397.171
Mean absolute error
0.1022
Mean prior absolute error
0.4977
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
0.8985
Per class
Predictive accuracy
0.898
Prior entropy
0.9967
Recall
0.898
Per class
Relative absolute error
0.2053
Root mean prior squared error
0.4988
Root mean squared error
0.3185
Root relative squared error
0.6385
SciMark benchmark
943.7751