Run
160746

Run 160746

Task 3832 (Supervised Classification) iris Uploaded 14-02-2015 by Manuel Martin Salvador
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  • study_1 study_73 weka weka_3.7.12
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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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.6364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4452
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_76, i386, Linux, 3.2.0-4-686-pae]
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9205
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0012
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1123.6668
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)