Run
594433

Run 594433

Task 53 (Supervised Classification) vehicle Uploaded 17-06-2016 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.FilteredClassifier_MultiSearch_RandomForest(1)Weka implementation of FilteredClassifier
weka.RandomForest(9)_I500
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.FilteredClassifier_MultiSearch_RandomForest(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_MultiSearch_RandomForest(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_RandomForest(1)_EACC
weka.MultiSearch_RandomForest(1)_class-label1
weka.MultiSearch_RandomForest(1)_search[weka.core.setupgenerator.MathParameter -property numFeatures -min 1.0 -max 8.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_RandomForest(1)_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_RandomForest(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_RandomForest(1)_S1
weka.MultiSearch_RandomForest(1)_Wweka.classifiers.trees.RandomForest

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
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.677
Cross-validation details (10-fold Crossvalidation)
KB relative information score
549.7376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7577
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7577
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.441
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2732
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6312
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1309.7525
UserCPU time millis
3440
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
820
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2620
Cross-validation details (10-fold Crossvalidation)