Run
580696

Run 580696

Task 53 (Supervised Classification) vehicle 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.AdaBoostM1_NaiveBayes(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(3)_P100
weka.AdaBoostM1_NaiveBayes(3)_S1
weka.AdaBoostM1_NaiveBayes(3)_I10
weka.AdaBoostM1_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
0.7704
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2666
Cross-validation details (10-fold Crossvalidation)
KB relative information score
286.5988
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.284
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.4967
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4456
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.4456
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7577
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.072
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1545.1695
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)