Computing the inconsistency rate for Chi2 discretization algorithm
This function computes the inconsistency rate of dataset.
incon(data)
data |
dataset matrix |
The inconsistency rate of dataset is calculated as follows: (1) two instances are considered inconsistent if they match except for their class labels; (2) for all the matching instances (without considering their class labels), the inconsistency count is the number of the instances minus the largest number of instnces of class labels; (3) the inconsistency rate is the sum of all the inconsistency counts divided by the total number of instances.
inConRate |
the inconsistency rate of the dataset |
HyunJi Kim polaris7867@gmail.com
Liu, H. and Setiono, R. (1995), Chi2: Feature selection and discretization of numeric attributes , Tools with Artificial Intelligence, 388–391.
Liu, H. and Setiono, R. (1997), Feature selection and discretization, IEEE transactions on knowledge and data engineering, Vol.9, no.4, 642–645.
##---- Calculating Inconsistency ---- data(iris) disiris=chiM(iris,alpha=0.05)$Disc.data incon(disiris)
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