Run
575854

Run 575854

Task 59 (Supervised Classification) iris Uploaded 01-06-2016 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_AdaBoostM1_NaiveBayes(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_NaiveBayes(3)_P100
weka.AdaBoostM1_NaiveBayes(3)_S1
weka.AdaBoostM1_NaiveBayes(3)_I10
weka.AdaBoostM1_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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
0.9769
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.0058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0446
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1607
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3408
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1976.5445
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)