DEVELOPMENT... OpenML
Run
112009

Run 112009

Task 1805 (Supervised Classification) soybean 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
0.9816
Per class
Build CPU time
0.2426
Build memory
924632533.046
F measure
0.9205
Per class
Kappa
0.913
KB relative information score
3145.8823
Mean absolute error
0.0086
Mean prior absolute error
0.0961
Number of instances
3415
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9214
Per class
Predictive accuracy
0.9206
Prior entropy
3.8572
Recall
0.9206
Per class
Relative absolute error
0.0891
Root mean prior squared error
0.2191
Root mean squared error
0.0881
Root relative squared error
0.4019
SciMark benchmark
923.9118