Run
1841399

Run 1841399

Task 125966 (Supervised Classification) SpeedDating Uploaded 27-11-2016 by M. van Nijnatten
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Flow

weka.Bagging_RandomSubSpace_REPTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_Ptrue
weka.REPTree(15)_L15
weka.REPTree(15)_I0.0
weka.REPTree(15)_num-decimal-places6
weka.Bagging_RandomSubSpace_REPTree(2)_P100
weka.Bagging_RandomSubSpace_REPTree(2)_Otrue
weka.Bagging_RandomSubSpace_REPTree(2)_S1
weka.Bagging_RandomSubSpace_REPTree(2)_num-slots1
weka.Bagging_RandomSubSpace_REPTree(2)_I10
weka.Bagging_RandomSubSpace_REPTree(2)_Wweka.classifiers.meta.RandomSubSpace
weka.Bagging_RandomSubSpace_REPTree(2)_num-decimal-places6
weka.RandomSubSpace_REPTree(7)_P0.5
weka.RandomSubSpace_REPTree(7)_S1
weka.RandomSubSpace_REPTree(7)_num-slots1
weka.RandomSubSpace_REPTree(7)_I25
weka.RandomSubSpace_REPTree(7)_Wweka.classifiers.trees.REPTree
weka.RandomSubSpace_REPTree(7)_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
0.8467
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8262
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2926
Cross-validation details (10-fold Crossvalidation)
KB relative information score
979.0536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2161
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
0.8398
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8576
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8576
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7852
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3197
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.862
Cross-validation details (10-fold Crossvalidation)
Total cost