Run
22242

Run 22242

Task 2 (Supervised Classification) anneal Uploaded 21-06-2014 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)_I40
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
0.9872
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
761.4775
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0239
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.961
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.961
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1782
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.101
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.391
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.7897[552.14958929700331011.2595505536781481.49857166643204909.59057174132591759.4501199261804]