DEVELOPMENT... OpenML
Run
112436

Run 112436

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.7031
Per class
Build CPU time
0.0188
Build memory
153402788.5312
F measure
0.6466
Per class
Kappa
0.2834
KB relative information score
89.1578
Mean absolute error
0.3799
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.648
Per class
Predictive accuracy
0.6504
Prior entropy
0.992
Recall
0.6504
Per class
Relative absolute error
0.7683
Root mean prior squared error
0.4972
Root mean squared error
0.4932
Root relative squared error
0.992
SciMark benchmark
930.5854