DEVELOPMENT... OpenML
Run
113116

Run 113116

Task 271 (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)_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
0.9882
Per class
Build CPU time
0.166
Build memory
1698748856
F measure
0.9169
Per class
Kappa
0.9113
KB relative information score
202.9967
Mean absolute error
0.0082
Mean prior absolute error
0.0958
Number of instances
225
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9282
Per class
Predictive accuracy
0.92
Prior entropy
3.8572
Recall
0.92
Per class
Relative absolute error
0.0857
Root mean prior squared error
0.2185
Root mean squared error
0.087
Root relative squared error
0.3983
SciMark benchmark
917.4547