Run
549823

Run 549823

Task 3978 (Supervised Classification) AP_Prostate_Kidney Uploaded 08-04-2016 by Jan van Rijn
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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
0.9783
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.972
Cross-validation details (10-fold Crossvalidation)
KB relative information score
317.1122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0091
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3325
Cross-validation details (10-fold Crossvalidation)
Number of instances
329
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9909
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7443
Cross-validation details (10-fold Crossvalidation)
Recall
0.9909
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0274
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4071
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0955
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2346
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
963.4585
UserCPU time millis
3400
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2750
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
650
Cross-validation details (10-fold Crossvalidation)