DEVELOPMENT... OpenML
Run
10550

Run 10550

Task 23 (Supervised Classification) cmc 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)_I80
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.

17 Evaluation measures

Area under ROC curve
0.7355
Per class
F measure
0.549
Per class
Kappa
0.3014
KB relative information score
367.3738
Mean absolute error
0.3531
Mean prior absolute error
0.4308
Number of instances
1473
Per class
Precision
0.55
Per class
Predictive accuracy
0.5526
Prior entropy
1.5392
Recall
0.5526
Per class
Relative absolute error
0.8197
Root mean prior squared error
0.4641
Root mean squared error
0.4262
Root relative squared error
0.9183

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