Classification Method #Assignment6

Explanation, Advantages and Disadvantages about Classification Method.

Classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known (Wikipedia).

Here are the advantages and disadvantages of classification method delivered in table:

Advantages	Disadvantages
Differentiate categories into groups specifically	It’s difficult when the data are very different to each other
Predict some probabilities	Confusing the standard to specification
Determine decision into appropriate model

Classifier	Advantages	Disadvantages
Decision Tree	·         Easy to interpret and explain ·         Nonlinear relationships between parameters do not affect tree performance	·         Complexity ·         Possibility of duplication with the same sub-tree on different path
K-Nearest Neighbor	·         Training is very fast ·         Easy to understand and implement classification technique	·         Sensitive to the local structure of data ·         Memory limitation
Naïve Bayes	·         Easy to implement ·         Good results obtained in most of the cases	·         Assumes independence of features ·         Dependencies exist among variables