The Preliminary Attribute Check tests the underlying classifier against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.
Important: If a column is marked as 'incompatible', it does not necessarily mean that the classifier cannot be executed! Sometimes, the error message 'Cannot handle String class' simply means that no nominal values are available (yet). This may change during execution of the predecessor nodes.
Capabilities: [Nominal attributes, Binary attributes, Unary attributes, Empty nominal attributes, Numeric attributes, Date attributes, String attributes, Relational attributes, Missing values, No class, Nominal class, Binary class, Unary class, Empty nominal class, Numeric class, Date class, String class, Relational class, Missing class values]
Dependencies: [Nominal attributes, Binary attributes, Unary attributes, Empty nominal attributes, Numeric attributes, Date attributes, String attributes, Relational attributes, Missing values, No class, Nominal class, Binary class, Unary class, Empty nominal class, Numeric class, Date class, String class, Relational class, Missing class values, Only multi-Instance data]
min # Instance: 0
F: Full class name of filter to use, followed
by filter options.
eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2"
(default: weka.filters.MultiFilter with
weka.filters.unsupervised.attribute.ReplaceMissingValues)
c: The class index.
(default: -1, i.e. unset)
W: Full name of base associator.
(default: weka.associations.Apriori)
:
N: The required number of rules. (default = 10)
T: The metric type by which to rank rules. (default = confidence)
C: The minimum confidence of a rule. (default = 0.9)
D: The delta by which the minimum support is decreased in
each iteration. (default = 0.05)
U: Upper bound for minimum support. (default = 1.0)
M: The lower bound for the minimum support. (default = 0.1)
S: If used, rules are tested for significance at
the given level. Slower. (default = no significance testing)
I: If set the itemsets found are also output. (default = no)
R: Remove columns that contain all missing values (default = no)
V: Report progress iteratively. (default = no)
A: If set class association rules are mined. (default = no)
c: The class index. (default = last)
