OpenML
13791

Run 13791

Task 53 (Supervised Classification) vehicle 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)_I20
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
0.9241
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7287
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6486
Cross-validation details (10-fold Crossvalidation)
KB relative information score
538.0252
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1688
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.7246
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7364
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7364
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4503
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2853
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.659
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.7565[561.0294815668511015.7907504114269484.3219757802961911.48820099582031761.152276377127]