DEVELOPMENT... OpenML
Run
112452

Run 112452

Task 3841 (Supervised Classification) mfeat-factors 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
0.9814
Per class
Build CPU time
11.6438
Build memory
61554539.2
F measure
0.994
Per class
Kappa
0.9664
KB relative information score
1906.0995
Mean absolute error
0.006
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.994
Per class
Predictive accuracy
0.994
Prior entropy
0.4703
Recall
0.994
Per class
Relative absolute error
0.0333
Root mean prior squared error
0.3
Root mean squared error
0.0775
Root relative squared error
0.2582
SciMark benchmark
934.6076