Run
1843216

Run 1843216

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)_Mtrue
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
0.616
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.7541
Cross-validation details (10-fold Crossvalidation)
F measure
0.3862
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0918
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-15060.8444
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6313
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
0.859
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.3687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.2938
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7945
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.1421
Cross-validation details (10-fold Crossvalidation)
Total cost
6318
Cross-validation details (10-fold Crossvalidation)