Run
24499

Run 24499

Task 26 (Supervised Classification) nursery Uploaded 10-07-2014 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_OneR(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_OneR(1)_I160
weka.AdaBoostM1_OneR(1)_P100
weka.AdaBoostM1_OneR(1)_S1
weka.AdaBoostM1_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.9234
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8218
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7506
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5341.6361
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1874
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.8125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8316
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6862
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2641
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.4189[570.94618719647461015.2555353338006483.88543266528814910.85482906678911761.152276377127]