Run
19986

Run 19986

Task 35 (Supervised Classification) dermatology Uploaded 18-06-2014 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_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)_I40
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
0.6341
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3921
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
108.1122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.194
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.3977
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.418
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.418
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7281
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4404
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2071
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
894.5965[531.2947438481441961.0747621016069456.1349967033109861.46566374894451663.0125061089916]