Run
2684298

Run 2684298

Task 20 (Supervised Classification) mfeat-pixel Uploaded 25-06-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_SMO_PolyKernel(1)Weka implementation of FilteredClassifier
weka.SMO_PolyKernel(15)_C1.0
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E2.0
weka.PolyKernel(11)_C250007
weka.FilteredClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO

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.

22 Evaluation measures

Area under ROC curve
0.9936
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9789
Cross-validation details (10-fold Crossvalidation)
KB relative information score
596.6342
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
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9811
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.981
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8901
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2725
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9083
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1471.4494
UserCPU time millis
38960
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
31880
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
7080
Cross-validation details (10-fold Crossvalidation)