Run
2337295

Run 2337295

Task 18 (Supervised Classification) mfeat-morphological Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_RandomForest(2)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P80
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
0.9614 ± 0.0077
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7169 ± 0.0341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6872 ± 0.0363
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1498.4775 ± 3.8892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0689 ± 0.0032
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
0.7182 ± 0.0361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7185 ± 0.0327
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7185 ± 0.0327
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3827 ± 0.0178
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.189 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6299 ± 0.026
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1665.6742
UserCPU time millis
470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
390
Cross-validation details (10-fold Crossvalidation)