Run
381041

Run 381041

Task 4568 (Supervised Classification) hypothyroid Uploaded 31-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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
0.9956
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9809
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8641
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
30109.0299
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0254
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1426
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
37720
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
0.9808
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9811
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3928
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9811
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1783
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2668
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1161
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4352
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1292.514
UserCPU time millis
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)