DEVELOPMENT... OpenML
Run
122800

Run 122800

Task 41 (Supervised Classification) soybean Uploaded 15-12-2014 by Felicia West
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weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9834
Per class
Build CPU time
15.0503
Build memory
22855700.8375
F measure
0.8588
Per class
Kappa
0.8453
KB relative information score
472.7284
Mean absolute error
0.0493
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
0.8751
Per class
Predictive accuracy
0.8594
Prior entropy
3.8572
Recall
0.8594
Per class
Relative absolute error
0.5129
Root mean prior squared error
0.2191
Root mean squared error
0.1292
Root relative squared error
0.5896
SciMark benchmark
937.9406