Run
248000

Run 248000

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 04-03-2015 by Joaquin Vanschoren
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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
0.5499
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5222
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0469
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2.1868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.49
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
88
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5227
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.5227
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9804
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.503
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0063
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1339.944
UserCPU time millis training