Run
1841170

Run 1841170

Task 125969 (Supervised Classification) SpeedDating Uploaded 26-11-2016 by M. van Nijnatten
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Flow

weka.CostSensitiveClassifier_Bagging_RandomTree(1)Weka implementation of CostSensitiveClassifier
weka.RandomTree(11)_K9
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.01
weka.RandomTree(11)_S1
weka.RandomTree(11)_num-decimal-places6
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Mtrue
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_cost-matrix[0.0 1.0; 2.0 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_num-decimal-places6
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I10
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(9)_num-decimal-places6

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
0.6891
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2573
Cross-validation details (10-fold Crossvalidation)
F measure
0.8283
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3769
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1990.2651
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.172
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
0.8286
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.828
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.828
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4147
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1181
Cross-validation details (10-fold Crossvalidation)
Total cost
2156
Cross-validation details (10-fold Crossvalidation)