Run
550854

Run 550854

Task 3556 (Supervised Classification) analcatdata_cyyoung8092 Uploaded 09-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SMO_PolyKernel(3)Weka implementation of AttributeSelectedClassifier
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SMO_PolyKernel(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SMO_PolyKernel(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SMO_PolyKernel(3)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(13)_C1.0
weka.SMO_PolyKernel(13)_N0
weka.SMO_PolyKernel(13)_L0.001
weka.SMO_PolyKernel(13)_P1.0E-12
weka.SMO_PolyKernel(13)_V-1
weka.SMO_PolyKernel(13)_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.

22 Evaluation measures

Area under ROC curve
0.6116
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.744
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2682
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.1388
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Number of instances
97
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.7464
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8153
Cross-validation details (10-fold Crossvalidation)
Recall
0.7732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4315
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4762
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1036
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)