Run
33590

Run 33590

Task 1892 (Supervised Classification) mfeat-factors Uploaded 15-10-2014 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(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
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.

21 Evaluation measures

Area under ROC curve
0.9983
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
590.6336
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
112102093.04
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9679
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9643
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
18270.4245
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0291
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
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
0.9682
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9679
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9679
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1617
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0879
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2932
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
574.5346