Run
564687

Run 564687

Task 3859 (Supervised Classification) prnn_fglass Uploaded 19-04-2016 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_GainRatioAttributeEval_Ranker_AdaBoostM1(1 )Weka implementation of AttributeSelectedClassifier
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AdaBoostM1(2)_P100
weka.AdaBoostM1(2)_S1
weka.AdaBoostM1(2)_I100
weka.AdaBoostM1(2)_Wweka.classifiers.trees.DecisionStump
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_AdaBoostM1(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_AdaBoostM1(1)_Wweka.classifiers.meta.AdaBoostM1

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
0.8264
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7887
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5368
Cross-validation details (10-fold Crossvalidation)
KB relative information score
93.9715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2591
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4584
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7881
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9397
Cross-validation details (10-fold Crossvalidation)
Recall
0.7897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5651
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4786
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.842
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
915.4132
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)