Run
1843163

Run 1843163

Task 125969 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Laurence Keijzer
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Flow

weka.NaiveBayesUpdateable(11)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.

17 Evaluation measures

Area under ROC curve
0.8329
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2799
Cross-validation details (10-fold Crossvalidation)
F measure
0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3707
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-637.3579
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2384
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.763
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.763
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8661
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4558
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2289
Cross-validation details (10-fold Crossvalidation)
Total cost
2345
Cross-validation details (10-fold Crossvalidation)