Run
486243

Run 486243

Task 39 (Supervised Classification) sonar 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
0.7881
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.0797
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4376
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.7147
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7067
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.7067
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8792
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4515
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9051
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.3004
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)