DEVELOPMENT... OpenML
Run
14212

Run 14212

Task 41 (Supervised Classification) soybean Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I160
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9923
Per class
F measure
0.9444
Per class
Kappa
0.939
KB relative information score
647.078
Mean absolute error
0.0064
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
0.9454
Per class
Predictive accuracy
0.9444
Prior entropy
3.8572
Recall
0.9444
Per class
Relative absolute error
0.0661
Root mean prior squared error
0.2191
Root mean squared error
0.0712
Root relative squared error
0.3249
SciMark benchmark
925.4124[558.6933541709972986.916784695497411.0803325820984911.48820099582031758.8835103978397]