Run
1843192

Run 1843192

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Leenen
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Flow

weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)Weka implementation of CostSensitiveClassifier
weka.LogitBoost_DecisionStump(10)_P100
weka.LogitBoost_DecisionStump(10)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(10)_H1.0
weka.LogitBoost_DecisionStump(10)_Z1.32
weka.LogitBoost_DecisionStump(10)_O10
weka.LogitBoost_DecisionStump(10)_E32
weka.LogitBoost_DecisionStump(10)_S1
weka.LogitBoost_DecisionStump(10)_I10
weka.LogitBoost_DecisionStump(10)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(10)_num-decimal-places8
weka.LogitBoost_DecisionStump(10)_batch-size
weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)_cost-matrix[0.0 1.0; 1.898 0.0]
weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)_S1
weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)_num-decimal-places8
weka.CostSensitiveClassifier_LogitBoost_DecisionStump(2)_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
0.8355
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
4.0722
Cross-validation details (10-fold Crossvalidation)
F measure
0.8358
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4077
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-760.2645
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2488
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
0.8371
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8347
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8347
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9039
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3374
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9096
Cross-validation details (10-fold Crossvalidation)
Total cost
34117
Cross-validation details (10-fold Crossvalidation)