DEVELOPMENT... OpenML
Run
120108

Run 120108

Task 41 (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)_I20
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
0.9859
Per class
Build CPU time
319.5896
Build memory
998109995.8067
F measure
0.9397
Per class
Kappa
0.9342
KB relative information score
643.515
Mean absolute error
0.0063
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9408
Per class
Predictive accuracy
0.94
Prior entropy
3.8572
Recall
0.94
Per class
Relative absolute error
0.066
Root mean prior squared error
0.2191
Root mean squared error
0.0774
Root relative squared error
0.3533
SciMark benchmark
899.2335