Run
486203

Run 486203

Task 3920 (Supervised Classification) mw1 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
0.6198
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8461
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1427
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-297.4007
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1802
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1438
Cross-validation details (10-fold Crossvalidation)
Number of instances
403
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.8818
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8189
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3987
Cross-validation details (10-fold Crossvalidation)
Recall
0.8189
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.253
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2665
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4217
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5826
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)