Run
1842787

Run 1842787

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Wijnands
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Flow

weka.LogitBoost_DecisionStump(10)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(10)_Qtrue
weka.LogitBoost_DecisionStump(10)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(10)_H0.2
weka.LogitBoost_DecisionStump(10)_Z2.0
weka.LogitBoost_DecisionStump(10)_O4
weka.LogitBoost_DecisionStump(10)_E2
weka.LogitBoost_DecisionStump(10)_S1
weka.LogitBoost_DecisionStump(10)_I10
weka.LogitBoost_DecisionStump(10)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(10)_batch-size

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
0.524
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7371
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0455
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12267.1832
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4595
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7699
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.7699
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6696
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4628
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2476
Cross-validation details (10-fold Crossvalidation)