Run
24179

Run 24179

Task 32 (Supervised Classification) pendigits Uploaded 01-07-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I80
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
0.998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9802
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9781
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3286.2932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1602
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
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
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10-fold Crossvalidation)
Recall
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8899
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9059
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
896.3389[535.0431426694996962.0344422444904457.88563364596456861.18267976381511665.5484172819024]