PCA Dimension Reduction & Classification - IT Assignment Help

Assignment Task

I. Assessment Problem and Requirements For this coursework, the following five tasks are defined: 1) PCA Dimension Reduction (& Classification) Task Data file name: Dry_Bean_Dataset_Final.arff Seven different types of dry beans were used, taking into account the features such as form, shape, type, and structure by the market situation. A total of 16 features; 12 dimensions, and 4 shape forms, were obtained from the grains. a) Plot the first two dimensions PCA b) Use the first n PCA which 95% variance covered as inputs to apply classification algorithms, present, TP Rate, FP Rate, Precision, Recall, F-Measure, Confusion matrix and Classification rate c) Compare the classification results from b) with the results with original features

2) Feature Selection & Decision Tree Task Data Set name: Diabetes_data_Final.arff There are 16 features, including gender and age demographic information, the target class is positive or negative. a) Use a feature selection algorithm to select the best feature set b) Using the selected features, run decision tree J48, illustrate the decision tree. Merge feature into a reasonable group in order to reduce the tree size, for example, merge age group as [0-24] as group 1, [25-34] as group 2, [35-44] as group 3, [45-54] as group 4, [55-64] as group 5, [65-74] as group 6, [75 above] as group 7 if it is necessary, compare the classification results above (with selected features) with the results with original features.

3) Classification Task: a) Apply the classification algorithms (at least two methods you have learned) to the datasets described in Tasks 1 and 2 (Dry_Bean_Dataset_Final.arff and Diabetes_data_Final.arff) and present the results b) Present why you choose these classification methods and give the conclusions

4) Cluster Task: Data Set name: tripadvisor_review_data_final.arff This is an unlabeled data set which can be used as cluster analysis, this data set is populated by crawling TripAdvisor.com. Reviews on destinations in 10 categories mentioned across East Asia are considered. Each traveller rating is mapped as Excellent (4), Very Good (3), Average (2), Poor (1), and Terrible (0), and an average rating is used against each category per user. Attribute 1 : Unique user-id Attribute 2 : Average user feedback on art galleries Attribute 3 : Average user feedback on dance clubs

This IT Assignment has been solved by our IT experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.