DEVELOPMENT... OpenML
Run
13047

Run 13047

Task 27 (Supervised Classification) colic 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)_I10
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
0.8514
Per class
F measure
0.8175
Per class
Kappa
0.6075
KB relative information score
167.7407
Mean absolute error
0.2639
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8172
Per class
Predictive accuracy
0.8179
Prior entropy
0.9509
Recall
0.8179
Per class
Relative absolute error
0.5661
Root mean prior squared error
0.4827
Root mean squared error
0.3729
Root relative squared error
0.7725
SciMark benchmark
943.6946[564.84475602395331015.7907504114269465.62958658471547912.75766683510371759.4501199261804]