R programming class prediction and explanation

Using R programming come up with a well-selected model to predict the class of a binary y - variable. In this case, well-selected means that it is the best-performing model out of many that were [url removed, login to view] follow the instructions bellow to write an analysis of your findings.

The data is in this link:

https://archive.ics.uci.edu/ml/datasets/Poker+Hand

Download the data. the description of what it is in the link. It is a poker game data set.

Required Analysis:

You must use the following Model Types in your Analysis:

Logistic Regression with variable selection/stepwise regression.

Decision Trees (at least 3 models not including variable selection)

Support Vector Machines (at least 3 models not including variable selection)

Cluster Analysis (at least 3 models not including variable selection)

K-nearest Neighbors (2 models)

“At least 3 models not including variable selection” means that your 3 different models cannot be different solely based on the fact that they include different predictor variables. You should also include variable selection in your search for the best model.

***The write-up must consist of the following sections:

Introduction/Description: Discuss what the dataset is and what it consists of and what the goal of analyzing it is.

Methodology: Describe the different models/methods that were tried through the course of the analysis and how you model-performance was assessed. Do not state any results in this section.

Analysis: Describe what the outcome of each model/analysis was, including relevant diagrams and output. You are not responsible for using every topic from class, however most should be covered.

Conclusion: Describe the model that we should use for predicting the class of the -variable and assess its performance one final time.

Appendix: Include all code used in the analysis along with some description of what the code is doing.

If you want to bid on project please message with this phrase:
"YU project"

Datenverarbeitung English (US) Translator R Programmiersprache Schreiben von Forschungsarbeiten Statistische Analyse

Projekt-ID: #10594356

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