Run
1841261

Run 1841261

Task 125969 (Supervised Classification) SpeedDating Uploaded 26-11-2016 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(1)Weka implementation of CostSensitiveClassifier
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.008
weka.RandomTree(11)_S1
weka.RandomTree(11)_depth7
weka.RandomTree(11)_Btrue
weka.RandomTree(11)_num-decimal-places5
weka.CostSensitiveClassifier_Bagging_RandomTree(1)_cost-matrix[0.0 1.0; 1.9 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)_Otrue
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots4
weka.Bagging_RandomTree(9)_I100
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(9)_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
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2452
Cross-validation details (10-fold Crossvalidation)
F measure
0.8448
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3796
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-767.5641
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2555
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
0.8499
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9282
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3239
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8732
Cross-validation details (10-fold Crossvalidation)
Total cost
2054
Cross-validation details (10-fold Crossvalidation)