Run
580054

Run 580054

Task 59 (Supervised Classification) iris Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.MultiSearch_IBk(2)Weka implementation of MultiSearch
weka.MultiSearch_IBk(2)_EACC
weka.MultiSearch_IBk(2)_search[weka.core.setupgenerator.MathParameter -property KNN -min 1.0 -max 50.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_IBk(2)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_IBk(2)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_IBk(2)_S1
weka.MultiSearch_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(9)_K1
weka.IBk(9)_W0
weka.IBk(9)_Atrue

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
0.9907
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
139.1639
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.038
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
0.9605
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
0.0856
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1496
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3174
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1958.4135
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)