Run
248441

Run 248441

Task 4546 (Supervised Classification) mfeat-factors Uploaded 04-03-2015 by Joaquin Vanschoren
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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
0.9569
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9547
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.769
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
12728.3588
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0487
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9632
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9513
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9513
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2703
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2199
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7331
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1339.944
UserCPU time millis
310
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
240
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10 times 10-fold Crossvalidation)