Run
483979

Run 483979

Task 9908 (Supervised Classification) autoUniv-au4-2500 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
0.6327
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5442
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1942
Cross-validation details (10-fold Crossvalidation)
KB relative information score
306.3686
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3463
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.5351
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5584
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5584
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9126
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9916
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1248.2165
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)