R programming class prediction and explanation
$30-250 USD
Paid on delivery
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"
Project ID: #10594356
About the project
8 freelancers are bidding on average $408 for this job
We are a team of experts which deal with various projects such as: > writing >technical writing >Engineering > PCB designing >FPGA >Verilog /VHDL > MATLAB >Wolfram Mathematica >Mathematics >Calculus More
YU project FYI, Cluster analysis and SVM are unsupervised learning algorithms and cannot be used for binary class prediction.
