Run
1853435

Run 1853435

Task 2 (Supervised Classification) anneal Uploaded 22-03-2017 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(11)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(11)_P100
weka.LogitBoost_DecisionStump(11)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(11)_H1.0
weka.LogitBoost_DecisionStump(11)_Z3.0
weka.LogitBoost_DecisionStump(11)_O1
weka.LogitBoost_DecisionStump(11)_E1
weka.LogitBoost_DecisionStump(11)_S1
weka.LogitBoost_DecisionStump(11)_I10
weka.LogitBoost_DecisionStump(11)_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
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9876
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9695
Cross-validation details (10-fold Crossvalidation)
KB relative information score
825.3884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0115
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9879
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9878
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9878
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.086
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0627
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2428
Cross-validation details (10-fold Crossvalidation)