Run
33802

Run 33802

Task 4287 (Supervised Classification) fri_c3_100_50 Uploaded 16-10-2014 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
0.8672
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
1.1291
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
174056734
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.779
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5278
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
378.2197
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3065
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4718
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
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
0.7786
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.781
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9597
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.781
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6496
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4854
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3799
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7826
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.6226