Run
486617

Run 486617

Task 3907 (Supervised Classification) mc1 Uploaded 02-12-2015 by Casey Davis
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Flow

weka.NaiveBayesUpdateable(9)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
0.813
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1174
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-58344.8965
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0588
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0144
Cross-validation details (10-fold Crossvalidation)
Number of instances
9466
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.9903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9414
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0622
Cross-validation details (10-fold Crossvalidation)
Recall
0.9414
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.0961
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0845
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2396
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.8366
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.3004
UserCPU time millis
210
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)