Run
1843091

Run 1843091

Task 125969 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by J B
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CostSensitiveClassifier_Bagging_RandomTree(3)Weka implementation of CostSensitiveClassifier
weka.CostSensitiveClassifier_Bagging_RandomTree(3)_Mtrue
weka.CostSensitiveClassifier_Bagging_RandomTree(3)_cost-matrix[0.0 1.0; 2.011 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(3)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(3)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_RandomTree(3)_num-decimal-places4
weka.Bagging_RandomTree(12)_P100
weka.Bagging_RandomTree(12)_S1
weka.Bagging_RandomTree(12)_num-slots6
weka.Bagging_RandomTree(12)_I178
weka.Bagging_RandomTree(12)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(12)_num-decimal-places4
weka.RandomTree(13)_K0
weka.RandomTree(13)_M0.999
weka.RandomTree(13)_V0.01
weka.RandomTree(13)_S1
weka.RandomTree(13)_depth12
weka.RandomTree(13)_Btrue

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
0.7233
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2163
Cross-validation details (10-fold Crossvalidation)
F measure
0.8594
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4743
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3319.6136
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1362
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
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.369
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9949
Cross-validation details (10-fold Crossvalidation)
Total cost
1812
Cross-validation details (10-fold Crossvalidation)