Run
588193

Run 588193

Task 59 (Supervised Classification) iris Uploaded 13-06-2016 by Jan van Rijn
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weka.FilteredClassifier_MultiSearch_J48(1)Weka implementation of FilteredClassifier
weka.J48(35)_C0.25
weka.J48(35)_M2
weka.FilteredClassifier_MultiSearch_J48(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents -R 0.95 -A 5 -M -1
weka.FilteredClassifier_MultiSearch_J48(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_J48(3)_EACC
weka.MultiSearch_J48(3)_class-label1
weka.MultiSearch_J48(3)_search[weka.core.setupgenerator.MathParameter -property minNumObj -min 0.0 -max 5.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_J48(3)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 100 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_J48(3)_log-file/home/rijnjnvan/projects/OpenML/Java/OpenmlWeka
weka.MultiSearch_J48(3)_S1
weka.MultiSearch_J48(3)_Wweka.classifiers.trees.J48

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

22 Evaluation measures

Area under ROC curve
0.9513
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8738
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.81
Cross-validation details (10-fold Crossvalidation)
KB relative information score
120.4992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1009
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
0.8747
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8733
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.8733
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2271
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.258
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5473
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1510.3517
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)