1.
(a) Load IRIS dataset. Create a linearly separable dataset with two features of petal length and petal width and two classes ‘versicolor’ and ‘virginica’.
(b) Perform a classification using SVM (allowed to use the library functions ). (c) Perform 5-fold cross-validation and report the class-wise and average accuracies.
( Marks: 10)
2. Perform classification over IRIS dataset using radial basis function neural network (no use of any library functions). For the identification of the initial cluster centers, use the k-means algorithm (reuse your previous assignment’s code). Report the individual class-wise accuracy, average accuracy and overall accuracy. (Marks 10)
