Run
1843199

Run 1843199

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Maarten Platenburg
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)Weka implementation of CostSensitiveClassifier
weka.DecisionStump(5)_num-decimal-places10
weka.Bagging_LogitBoost_DecisionStump(1)_P100
weka.Bagging_LogitBoost_DecisionStump(1)_S1
weka.Bagging_LogitBoost_DecisionStump(1)_num-slots1
weka.Bagging_LogitBoost_DecisionStump(1)_I35
weka.Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.Bagging_LogitBoost_DecisionStump(1)_num-decimal-places10
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)_I35
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(6)_num-decimal-places10
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_S1
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump(1)_num-decimal-places10

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
0.8547
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7633
Cross-validation details (10-fold Crossvalidation)
F measure
0.4719
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1292
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-13438.3679
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5366
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
0.8598
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4355
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.4355
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.9497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6369
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.7171
Cross-validation details (10-fold Crossvalidation)
Total cost
6395
Cross-validation details (10-fold Crossvalidation)