Run
83936

Run 83936

Task 1799 (Supervised Classification) dermatology Uploaded 02-12-2014 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(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I80
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9984
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
5.3849
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
3576827487.2
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9694
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9617
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
627.2118
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2231
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9693
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9694
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9694
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.8374
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3106
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8512
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
949.2096