Run
505342

Run 505342

Task 3497 (Supervised Classification) grub-damage Uploaded 13-01-2016 by Casey Davis
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Flow

weka.NaiveBayes(13)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
0.7322
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5128
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.9927
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3638
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.5139
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5161
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9281
Cross-validation details (10-fold Crossvalidation)
Recall
0.5161
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4263
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9678
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1231.6785
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)