DEVELOPMENT... OpenML
Run
112167

Run 112167

Task 3592 (Supervised Classification) fri_c2_100_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)_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
0.8419
Per class
Build CPU time
0.0246
Build memory
149416899.2
F measure
0.7991
Per class
Kappa
0.5798
KB relative information score
58.8254
Mean absolute error
0.1939
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7988
Per class
Predictive accuracy
0.8
Prior entropy
0.9721
Recall
0.8
Per class
Relative absolute error
0.4037
Root mean prior squared error
0.4899
Root mean squared error
0.4233
Root relative squared error
0.8641
SciMark benchmark
925.481

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