DEVELOPMENT... OpenML
Run
110775

Run 110775

Task 241 (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)_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
0.8458
Per class
Build CPU time
0.644
Build memory
55920664
F measure
0.7628
Per class
Kappa
0.6001
KB relative information score
114.1026
Mean absolute error
0.1545
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.759
Per class
Predictive accuracy
0.767
Prior entropy
1.3212
Recall
0.767
Per class
Relative absolute error
0.4006
Root mean prior squared error
0.4424
Root mean squared error
0.3884
Root relative squared error
0.878
SciMark benchmark
923.9118