Run
483985

Run 483985

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 01-12-2015 by Casey Davis
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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
0.6162
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4178
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1526
Cross-validation details (10-fold Crossvalidation)
KB relative information score
103.2057
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.4259
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4314
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.4314
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4645
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9863
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1248.2165
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)