Run
11222

Run 11222

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 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_DecisionStump(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_DecisionStump(1)_I40
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9157
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
268.601
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1105
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9174
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9174
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2399
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2551
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5317
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.9429[561.93317930202351008.8769851701059482.5806157404377912.43998791392861758.8835103978397]