Run
1840964

Run 1840964

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)_H1.0
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)_I31
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
0.8504
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2427
Cross-validation details (10-fold Crossvalidation)
F measure
0.8452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3953
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1491.9652
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1956
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
0.8426
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8596
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8596
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7108
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3165
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8533
Cross-validation details (10-fold Crossvalidation)
Total cost
2033
Cross-validation details (10-fold Crossvalidation)