Run
67056

Run 67056

Task 3873 (Supervised Classification) dermatology Uploaded 30-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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.

21 Evaluation measures

Area under ROC curve
0.998
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.2234
Cross-validation details (10-fold Crossvalidation)
Build memory
60625754.5355
Cross-validation details (10-fold Crossvalidation)
F measure
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9936
Cross-validation details (10-fold Crossvalidation)
KB relative information score
362.9816
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9973
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0523
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1134
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.1551