Run
248298

Run 248298

Task 4388 (Supervised Classification) diggle_table_a2 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
0.966
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8537
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7061
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2215.2572
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1409
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4979
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3100
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
0.8592
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8548
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.997
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8548
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2831
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3691
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7397
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
986.8456