Run
557297

Run 557297

Task 2372 (Supervised Classification) lung-cancer Uploaded 15-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_SMO(1)Weka implementation of AttributeSelectedClassifier
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_SMO(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_SMO(1)_Wweka.classifiers.functions.SMO
weka.SMO(1)_C1.0
weka.SMO(1)_N0
weka.SMO(1)_L0.001
weka.SMO(1)_P1.0E-12
weka.SMO(1)_V-1
weka.SMO(1)_W1
weka.SMO(1)_Kweka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007

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
0.5902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.375
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0504
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6.7922
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3819
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4393
Cross-validation details (10-fold Crossvalidation)
Number of instances
32
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.375
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.57
Cross-validation details (10-fold Crossvalidation)
Recall
0.375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8695
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4811
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0271
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.8652
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)