DEVELOPMENT... OpenML
Run
124465

Run 124465

Task 41 (Supervised Classification) soybean Uploaded 24-12-2014 by Felicia West
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Flow

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)_I10
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
0.9817
Per class
Build CPU time
13.654
Build memory
136747545.6047
F measure
0.8477
Per class
Kappa
0.8355
KB relative information score
455.3551
Mean absolute error
0.0532
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
0.8641
Per class
Predictive accuracy
0.8507
Prior entropy
3.8572
Recall
0.8507
Per class
Relative absolute error
0.5536
Root mean prior squared error
0.2191
Root mean squared error
0.1346
Root relative squared error
0.6145
SciMark benchmark
929.5397