Run
594525

Run 594525

Task 9964 (Supervised Classification) semeion Uploaded 18-06-2016 by Joaquin Vanschoren
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
0.9971
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.946
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1194.9359
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0786
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
1593
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.946
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.946
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4368
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1545
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5149
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.7305
UserCPU time millis
14660
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
13950
Cross-validation details (10-fold Crossvalidation)