Run
1761910

Run 1761910

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 25-07-2016 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
0.6774
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5737
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2544
Cross-validation details (10-fold Crossvalidation)
KB relative information score
326.2376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3406
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5529
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5984
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5984
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8976
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9536
Cross-validation details (10-fold Crossvalidation)