Run
35050

Run 35050

Task 4505 (Supervised Classification) fri_c3_500_50 Uploaded 22-10-2014 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)_I80
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
0.9463
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
7.3313
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
623540231.92
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8724
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7395
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2839.1892
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2317
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4918
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
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
0.8783
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.874
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9882
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.874
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.471
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3091
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6233
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
920.6086