Run
548993

Run 548993

Task 3819 (Supervised Classification) molecular-biology_promoters Uploaded 05-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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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
0.6932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4015
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.1673
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4369
Cross-validation details (10-fold Crossvalidation)
Number of instances
106
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7453
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9088
Cross-validation details (10-fold Crossvalidation)
Recall
0.7453
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6884
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4668
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4691
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.005
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.4354