DEVELOPMENT... OpenML
Run
119578

Run 119578

Task 271 (Supervised Classification) soybean Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9675
Per class
Build CPU time
117.723
Build memory
343978952
F measure
0.9337
Per class
Kappa
0.9262
KB relative information score
206.7287
Mean absolute error
0.0072
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
0.9352
Per class
Predictive accuracy
0.9333
Prior entropy
3.8572
Recall
0.9333
Per class
Relative absolute error
0.0754
Root mean prior squared error
0.2185
Root mean squared error
0.0843
Root relative squared error
0.3858
SciMark benchmark
913.3372