1) Select the intention of the following machine learning algorithms: from sklearn.neighbors import KNeighborsClassifier classifier = KNeighborsClassifier(n_neighbors = 5, metric = 'minkowski', p = 2) classifier.fit(X_train, y_train) kmeans = KMeans(n_clusters = 5, init = 'k-means++', random_state = 42) y_kmeans = kmeans.fit_predict(X) Group of answer choices a. overfit the data for classification and underfit the data for the clustering b. Look for 5 closest neighbors and form 5 clusters c. Only form 5 clusters d. underfit the data for classification and overfit the data for the clustering

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.