Run
15897

Run 15897

Task 57 (Supervised Classification) ionosphere Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LWL_DecisionStump(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(1)_I40
weka.Bagging_LWL_DecisionStump(1)_P100
weka.Bagging_LWL_DecisionStump(1)_S1
weka.Bagging_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(1)_num-slots1
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_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
0.9399
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8218
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6051
Cross-validation details (10-fold Crossvalidation)
KB relative information score
181.8955
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2336
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
0.8582
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8348
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8348
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5073
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.344
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.717
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.9049[564.84475602395331015.7907504114269483.2321174670136914.66847156230541750.9885882679507]