Run
1842762

Run 1842762

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


Flow

weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)Weka implementation of CostSensitiveClassifier
weka.RandomTree(11)_K7
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.01
weka.RandomTree(11)_S1
weka.RandomTree(11)_depth11
weka.RandomTree(11)_Btrue
weka.RandomTree(11)_num-decimal-places5
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I100
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(9)_num-decimal-places5
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)_Mtrue
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)_cost-matrix[0.0 1.0; 2.05 0.0]
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)_S1
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)_Wweka.classifiers.meta.RandomCommittee
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree(1)_num-decimal-places5
weka.RandomCommittee_Bagging_RandomTree(1)_S1
weka.RandomCommittee_Bagging_RandomTree(1)_num-slots4
weka.RandomCommittee_Bagging_RandomTree(1)_I5
weka.RandomCommittee_Bagging_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.RandomCommittee_Bagging_RandomTree(1)_num-decimal-places5

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
0.7171
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2208
Cross-validation details (10-fold Crossvalidation)
F measure
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4625
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3222.128
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1388
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
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8612
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8612
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3726
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0045
Cross-validation details (10-fold Crossvalidation)
Total cost
1850
Cross-validation details (10-fold Crossvalidation)