Run
248318

Run 248318

Task 4407 (Supervised Classification) fri_c1_1000_50 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
0.7361
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6776
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.348
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2262.0505
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3941
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4956
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6777
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.679
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9936
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.679
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7951
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4978
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4598
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9236
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1319.9329
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)