DEVELOPMENT... OpenML
Run
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Run 120217

Task 1805 (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
0.9693
Per class
Build CPU time
130.8081
Build memory
605164154.6073
F measure
0.9257
Per class
Kappa
0.9185
KB relative information score
3172.1549
Mean absolute error
0.0078
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
0.9267
Per class
Predictive accuracy
0.9256
Prior entropy
3.8572
Recall
0.9256
Per class
Relative absolute error
0.0816
Root mean prior squared error
0.2191
Root mean squared error
0.0876
Root relative squared error
0.3996
SciMark benchmark
924.2473