Run
1810781

Run 1810781

Task 3534 (Supervised Classification) ohscal.wc Uploaded 01-08-2016 by Jan van Rijn
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Flow

weka.LogitBoost_DecisionStump(6)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(6)_P100
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z3.0
weka.LogitBoost_DecisionStump(6)_O1
weka.LogitBoost_DecisionStump(6)_E1
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I10
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.9624
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7632
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7336
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7792.3409
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0729
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7662
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7619
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.7619
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4078
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6231
Cross-validation details (10-fold Crossvalidation)