DEVELOPMENT... OpenML
Run
113137

Run 113137

Task 1775 (Supervised Classification) balance-scale 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)_I10
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
0.9452
Per class
Build CPU time
0.0266
Build memory
116266554.9645
F measure
0.8104
Per class
Kappa
0.6633
KB relative information score
1907.8404
Mean absolute error
0.1302
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8135
Per class
Predictive accuracy
0.8074
Prior entropy
1.3212
Recall
0.8074
Per class
Relative absolute error
0.3428
Root mean prior squared error
0.4356
Root mean squared error
0.3384
Root relative squared error
0.7768
SciMark benchmark
920.7965