Run
19839

Run 19839

Task 2068 (Supervised Classification) solar-flare Uploaded 17-06-2014 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_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I20
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.7485
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-95315.0024
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2197
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
29.4583
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
4.7152
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
898.4013[534.0602029035937962.9960408781753458.8639974285942862.88344563334581673.2026456671315]