Run
469266

Run 469266

Task 4574 (Supervised Classification) lymph Uploaded 22-07-2015 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
0.9209
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8468
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6904
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
944.8592
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1851
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4956
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1480
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8474
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8473
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9937
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8473
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3735
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4978
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3388
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6806
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.695