Run
116227

Run 116227

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 09-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
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
0.874
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.548
Cross-validation details (10-fold Crossvalidation)
Build memory
815716862.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.8502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6931
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.7793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1498
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
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
0.8506
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.85
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.85
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3798
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7696
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.0554