Run
1843207

Run 1843207

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

weka.CostSensitiveClassifier_Bagging_AdaBoostM1_DecisionStump(1)Weka implementation of CostSensitiveClassifier
weka.DecisionStump(5)_num-decimal-places10
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I35
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_AdaBoostM1_DecisionStump(1)_P100
weka.Bagging_AdaBoostM1_DecisionStump(1)_S1
weka.Bagging_AdaBoostM1_DecisionStump(1)_num-slots1
weka.Bagging_AdaBoostM1_DecisionStump(1)_I35
weka.Bagging_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.Bagging_AdaBoostM1_DecisionStump(1)_num-decimal-places10
weka.CostSensitiveClassifier_Bagging_AdaBoostM1_DecisionStump(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_AdaBoostM1_DecisionStump(1)_S1
weka.CostSensitiveClassifier_Bagging_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_AdaBoostM1_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
0.8512
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7523
Cross-validation details (10-fold Crossvalidation)
F measure
0.4043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0991
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14974.5244
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5719
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
0.8593
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3822
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.3822
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.078
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6607
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.7812
Cross-validation details (10-fold Crossvalidation)
Total cost
6303
Cross-validation details (10-fold Crossvalidation)