Run
1842908

Run 1842908

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Rafael Ferrer
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CostSensitiveClassifier_Bagging_RandomTree(2)Weka implementation of CostSensitiveClassifier
weka.RandomTree(12)_K22
weka.RandomTree(12)_M1.0
weka.RandomTree(12)_V0.01
weka.RandomTree(12)_S1
weka.RandomTree(12)_num-decimal-places4
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_S1
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_Wweka.classifiers.meta.Bagging
weka.CostSensitiveClassifier_Bagging_RandomTree(2)_num-decimal-places4
weka.Bagging_RandomTree(11)_P100
weka.Bagging_RandomTree(11)_S1
weka.Bagging_RandomTree(11)_num-slots1
weka.Bagging_RandomTree(11)_I50
weka.Bagging_RandomTree(11)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(11)_num-decimal-places4

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
0.8404
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.8954
Cross-validation details (10-fold Crossvalidation)
F measure
0.61
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2117
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-11494.732
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4648
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
0.8603
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5608
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.5608
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6888
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5218
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4067
Cross-validation details (10-fold Crossvalidation)
Total cost
7502
Cross-validation details (10-fold Crossvalidation)