Run
2337201

Run 2337201

Task 2079 (Supervised Classification) eucalyptus Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_RandomForest(2)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K250
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomForest(2)_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.

22 Evaluation measures

Area under ROC curve
0.8391 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.547 ± 0.0324
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4198 ± 0.0425
Cross-validation details (10-fold Crossvalidation)
KB relative information score
340.0143 ± 1.906
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2013 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.5479 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5476 ± 0.0317
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5476 ± 0.0317
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6428 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3452 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8724 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1715.7193
UserCPU time millis
230
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
210
Cross-validation details (10-fold Crossvalidation)