Run
247939

Run 247939

Task 3705 (Supervised Classification) autoHorse Uploaded 04-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.9506
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7598
Cross-validation details (10-fold Crossvalidation)
KB relative information score
152.7876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1213
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8829
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.8829
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2516
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.689
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1350.9691
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training