Run
577110

Run 577110

Task 21 (Supervised Classification) car Uploaded 02-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_RandomSubSpace_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree(1)_Wweka.classifiers.meta.RandomSubSpace
weka.RandomSubSpace_REPTree(8)_P0.5
weka.RandomSubSpace_REPTree(8)_S1
weka.RandomSubSpace_REPTree(8)_num-slots1
weka.RandomSubSpace_REPTree(8)_I10
weka.RandomSubSpace_REPTree(8)_Wweka.classifiers.trees.REPTree

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
0.9413
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.577
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
390.8832
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1926
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.4906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.7002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8412
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2916
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8625
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1464.8748
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)