Run
577676

Run 577676

Task 26 (Supervised Classification) nursery Uploaded 02-06-2016 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.A1DE(28)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(28)_F1
weka.A1DE(28)_M1.0

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
0.9911
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9183
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8907
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10599.1575
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0666
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.9278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9262
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9262
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2441
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1574
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.426
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1364.8603
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)