Run
22888

Run 22888

Task 4 (Supervised Classification) labor Uploaded 23-06-2014 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(1)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(1)_I20
weka.AdaBoostM1_JRip(1)_P100
weka.AdaBoostM1_JRip(1)_S1
weka.AdaBoostM1_JRip(1)_Wweka.classifiers.rules.JRip
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.947
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8831
Cross-validation details (10-fold Crossvalidation)
KB relative information score
48.1395
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0702
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9474
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2391
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.501
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.0593[550.40728600235831006.5056202244749477.43081512874613891.04013534266231729.9124591675748]