OpenML
1761774

Run 1761774

Task 3918 (Supervised Classification) pc1 Uploaded 24-07-2016 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
0.8426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9161
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2356
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-219.1092
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1055
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.915
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8126
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2315
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9108
Cross-validation details (10-fold Crossvalidation)