Run
13047

Run 13047

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.8175
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6075
Cross-validation details (10-fold Crossvalidation)
KB relative information score
167.7407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2639
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8179
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8179
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5661
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3729
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7725
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.6946[564.84475602395331015.7907504114269465.62958658471547912.75766683510371759.4501199261804]