Run
581048

Run 581048

Task 7287 (Supervised Classification) adult Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_NaiveBayes(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(3)_C3
weka.MultiBoostAB_NaiveBayes(3)_P100
weka.MultiBoostAB_NaiveBayes(3)_S1
weka.MultiBoostAB_NaiveBayes(3)_I10
weka.MultiBoostAB_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

Area under ROC curve
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.087
Cross-validation details (10-fold Crossvalidation)
F measure
0.8325
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5629
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22725.7449
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1719
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8259
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8259
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9379
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1424.5907
Total cost
4250.5
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
6040
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2040
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
4000
Cross-validation details (10-fold Crossvalidation)