Run
24396

Run 24396

Task 14 (Supervised Classification) mfeat-fourier Uploaded 07-07-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Dagging_DecisionStump(1)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(1)_F10
weka.Dagging_DecisionStump(1)_S1
weka.Dagging_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
0.8148
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2655
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
469.571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1654
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.3076
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.3375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.919
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2849
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9498
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.6753[560.3085619771907989.704664392416435.5950756135599877.91022987830261734.8581099187907]