Run
2337509

Run 2337509

Task 22 (Supervised Classification) mfeat-zernike 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)_K0
weka.RandomForest(12)_M10.0
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
0.9722 ± 0.004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7512 ± 0.0285
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7272 ± 0.0327
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1440.17 ± 3.1434
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0788 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7491 ± 0.0268
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7545 ± 0.0294
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7545 ± 0.0294
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4377 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1806 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.602 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1559.6663
UserCPU time millis
980
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
900
Cross-validation details (10-fold Crossvalidation)