Description Usage Arguments Value Examples
View source: R/instanceSelection.R
Instance selection wrapper
1 | instance_selection(dataset, method, class_attr = "Class", ...)
|
dataset |
we want to perform an instance selection on |
method |
selected method of instance selection |
class_attr |
|
... |
Further arguments for |
A filtered dataset with same shape as the input to the function
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | library("smartdata")
super_iris <- instance_selection(iris, method = "CNN", class_attr = "Species")
# Use k = 2 instead of default k
super_iris <- instance_selection(iris, method = "CNN", class_attr = "Species", k = 2)
# Use Edited Nearest Neighbor as method to select observations
super_iris <- instance_selection(iris, method = "ENN", class_attr = "Species", k = 3)
super_iris <- instance_selection(iris, method = "multiedit", class_attr = "Species",
k = 3, num_folds = 5, null_passes = 8)
# Use default arguments for multiedit
super_iris <- instance_selection(iris, method = "multiedit", class_attr = "Species")
super_iris <- instance_selection(iris, method = "FRIS", class_attr = "Species")
# FRIS method with fuzzy granularity of 2
super_iris <- instance_selection(iris, method = "FRIS", class_attr = "Species", alpha = 2)
# FRIS method with Dubois Prade implicator
super_iris <- instance_selection(iris, method = "FRIS", "Species", implicator_type = "dubois_prade")
# FRIS method with lower threshold (that is, less observations are removed)
super_iris <- instance_selection(iris, method = "FRIS", class_attr = "Species", threshold = 0.6)
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