Run
147033

Run 147033

Task 3663 (Supervised Classification) cholesterol Uploaded 01-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.5782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.588
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1665
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.4021
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4636
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
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
0.5878
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5908
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9935
Cross-validation details (10-fold Crossvalidation)
Recall
0.5908
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9357
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5193
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0435
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.8635
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)