Run
17435

Run 17435

Task 2065 (Supervised Classification) primary-tumor Uploaded 08-06-2014 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
0.5307
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.07
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.0317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.066
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
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
0.1063
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2743
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.2743
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8123
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2773
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
904.9062[564.8447560239533863.331053246539432.26321981324605910.85475360997441753.2370197795062]