Run
34723

Run 34723

Task 4432 (Supervised Classification) fri_c4_250_10 Uploaded 20-10-2014 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
0.9178
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.6765
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
2121138427.92
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8294
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6573
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1176.9461
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2815
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.498
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2500
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
0.8295
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8296
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8296
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5653
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.349
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6994
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
945.4445