Run
486242

Run 486242

Task 9965 (Supervised Classification) skin-segmentation Uploaded 02-12-2015 by Casey Davis
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Flow

weka.NaiveBayesMultinomial(4)Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.

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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9389
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8251
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187298.6012
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0672
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3289
Cross-validation details (10-fold Crossvalidation)
Number of instances
245057
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.951
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9359
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7368
Cross-validation details (10-fold Crossvalidation)
Recall
0.9359
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4055
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2513
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6198
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.3004
UserCPU time millis
160
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)