Run
1841007

Run 1841007

Task 125969 (Supervised Classification) SpeedDating Uploaded 24-11-2016 by J B
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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.DecisionStump(5)_num-decimal-places5
weka.LogitBoost_DecisionStump(6)_P100
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H0.62
weka.LogitBoost_DecisionStump(6)_Z2.8
weka.LogitBoost_DecisionStump(6)_O6
weka.LogitBoost_DecisionStump(6)_E6
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I37
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(6)_num-decimal-places5

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
0.8564
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2425
Cross-validation details (10-fold Crossvalidation)
F measure
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3902
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1385.5709
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2012
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
0.8488
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8652
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8652
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.731
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8472
Cross-validation details (10-fold Crossvalidation)
Total cost
2032
Cross-validation details (10-fold Crossvalidation)