b) Fill in the blanks with the correct answers. i) Specificity measures the proportion of assessment over the number of all negative assessment. ii) is the process of selecting a subset of the available inputs that are usefuI for predicting the target variable. iii) The ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the training set called as iv) is a data mining technique that does not require the missing values to be imputed in order to build predictive model. v) In association analysis, is an item found within the data while a is an item found in combination with the other itemfound earlier. (6 marks) PART A QUESTION 1 a) State whether each of following statements is TRUE (T) or FALSE (F). i) The goal of directed data mining is to find the overall pattern and not tied to target variable. ii) Predictive rules or estimated equations are established based on the training data, while the optimal model is determined based on the validation data iii) increasing the dimensionality of the data always decreases the nisclassification rate. iv) The coefficient value ([31) of the interval variaale X1 in the Logistic Regression model explain the change in the value of Y for every 1-unitchange in X. v) Transform node in SAS Enterprise Miner can be used to leverage the extreme input distribution