Run
18242

Run 18242

Task 42 (Supervised Classification) haberman Uploaded 10-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_JRip(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(1)_I10
weka.Bagging_JRip(1)_P100
weka.Bagging_JRip(1)_S1
weka.Bagging_JRip(1)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(1)_num-slots1
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.657
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6961
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1712
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.547
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3478
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6993
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7386
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.7386
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8919
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4294
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9733
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.1051[565.0277180558361015.5230404536866483.88543266528814889.22660810907861691.8627806114396]