Run
573056

Run 573056

Task 1 (Supervised Classification) anneal Uploaded 24-05-2016 by Jan van Rijn
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Flow

weka.MultiSearch_J48(2)Weka implementation of MultiSearch
weka.J48(35)_C0.25
weka.J48(35)_M2
weka.MultiSearch_J48(2)_EACC
weka.MultiSearch_J48(2)_search[weka.core.setupgenerator.ListParameter -property minNumObj -list "1 2 4 8", weka.core.setupgenerator.ListParameter -property confidenceFactor -list "0.1 0.25 0.01"]
weka.MultiSearch_J48(2)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_J48(2)_log-file/home/rijnjnvan/projects/OpenML/Java/OpenmlWeka
weka.MultiSearch_J48(2)_S1
weka.MultiSearch_J48(2)_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
0.9938
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9921
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
858.6443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.9923
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9922
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0495
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1918
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2033.608
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)