GP Intro and background
kisha2019I only need the introduction and background completed. 1 page, IEEE format.
9 months ago
1
files (3)GroupprojectIntroandbackground.docx
Groupprojectproposal.docx
breast-cancer.arff2.txt
GroupprojectIntroandbackground.docx
2. Project Objectives
The main goal of this project is to provide hands-on research experience in machine learning. Students will:
· Identify and define a research-worthy problem.
· Explore existing machine learning approaches.
· Develop, implement, and test their own solution.
· Critically evaluate their work in comparison with related methods.
3. Project Topic Selection
· Topics should be relevant to machine learning in a domain that all group members agree on.
· Each group must submit a 1-page project proposal (12-point font, single spacing, 1-inch margins) that includes:
· Problem statement
· Dataset(s) selection
· Plan and methodology
4. Data and Tools
· Students may use publicly available datasets (e.g., from Kaggle, UCI ML Repository, etc).
· Recommended tools include WEKA, Jupyter Notebook, PyTorch, Scikit-learn, etc.
· Data preprocessing, cleaning, and feature engineering must be documented.
5. Project Deliverables
1. Proposal: Problem definition, dataset selection, and plan.
2. Final Report (4-5 pages including references using IEEE paper template ):
· Introduction & background
· Related work (literature review)
· Methodology & algorithms used (at least 5 different machine learning techniques need to be utilized)
· Experimental setup (datasets, evaluation metrics)
· Results and analysis (comparisons, graphs, tables)
· Conclusion and future work
3. Presentation/Demo: 10–15 minutes per group.
NOTE: Do not include WEKA screenshot results of your experiments in the report. Instead, summarize your findings in text and use tables, charts, or written explanations to clearly present your results.
NOTE: A 15% penalty will be applied to your grade if your paper is not formatted using the official IEEE paper template. Please make sure to carefully follow the template guidelines for structure, formatting, and references before submission
Groupprojectproposal.docx
2
Predicting Breast Cancer Recurrence Using Machine Learning
Problem Statement
Breast cancer is one of the most common cancers affecting women worldwide. Early detection is critical in improving patient outcomes. Structured datasets provide an opportunity to apply machine learning techniques to predict the likelihood of cancer recurrence or non-recurrence. The research problem is to determine if machine learning models can improve prediction accuracy and support early diagnosis and treatment planning.
Dataset Selection
https://archive.ics.uci.edu/dataset/14/breast+cancer
We chose the breast cancer dataset from the UCI Machine Learning Repository. The dataset includes 286 instances with 9 attributes describing patient medical features. The target variable distinguishes between recurrence and no recurrence.
Plan and Methodology
We will use WEKA machine learning software to carry out the following steps:
1. Data Analysis and Preprocessing
a. Explore dataset characteristics and distributions
b. Encode categorical variables and check for missing values
2. Model Development
a. Establish a performance baseline using multiple algorithms:
i. Logistic Regression
ii. Decision Trees (J48)
iii. Random Forests
iv. Naïve Bayes
v. K-Nearest Neighbors (IBk)
3. Model Assessment
a. Evaluate models using 10-fold cross validation to ensure generalization
b. Compare model performance using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC
4. Feature Selection
a. Assess the impact of feature selection methods on performance
b. Evaluate if dimensionality reduction methods lead to stronger model performance
5. Critical evaluation
a. Provide a comparative analysis of algorithms
b. Discuss trade-offs, strengths, and weaknesses of each approach
c. Reflect on how these findings might apply in real-world clinical decision making
breast-cancer.arff2.txt
% Breast Cancer Dataset (UCI ML Repository) % ARFF for WEKA - corrected enums/underscores, no '?' in attribute values @RELATION breast_cancer @ATTRIBUTE class {no-recurrence-events,recurrence-events} @ATTRIBUTE age {10-19,20-29,30-39,40-49,50-59,60-69,70-79,80-89,90-99} @ATTRIBUTE menopause {lt40,ge40,premeno} @ATTRIBUTE tumor_size {0-4,5-9,10-14,15-19,20-24,25-29,30-34,35-39,40-44,45-49,50-54,55-59} @ATTRIBUTE inv_nodes {0-2,3-5,6-8,9-11,12-14,15-17,18-20,21-23,24-26,27-29,30-32,33-35,36-39} @ATTRIBUTE node_caps {yes,no} @ATTRIBUTE deg_malig {1,2,3} @ATTRIBUTE breast {left,right} @ATTRIBUTE breast_quad {left_up,right_up,left_low,right_low,central} @ATTRIBUTE irradiat {yes,no} @DATA no-recurrence-events,30-39,premeno,30-34,0-2,no,3,left,left_low,no no-recurrence-events,40-49,premeno,20-24,0-2,no,2,right,right_up,no no-recurrence-events,40-49,premeno,20-24,0-2,no,2,left,left_low,no no-recurrence-events,60-69,ge40,15-19,0-2,no,2,right,left_up,no no-recurrence-events,40-49,premeno,0-4,0-2,no,2,right,right_low,no no-recurrence-events,60-69,ge40,15-19,0-2,no,2,left,left_low,no no-recurrence-events,50-59,premeno,25-29,0-2,no,2,left,left_low,no no-recurrence-events,60-69,ge40,20-24,0-2,no,1,left,left_low,no no-recurrence-events,40-49,premeno,50-54,0-2,no,2,left,left_low,no no-recurrence-events,40-49,premeno,20-24,0-2,no,2,right,left_up,no no-recurrence-events,40-49,premeno,0-4,0-2,no,3,left,central,no no-recurrence-events,50-59,ge40,25-29,0-2,no,2,left,left_low,no no-recurrence-events,60-69,lt40,10-14,0-2,no,1,left,right_up,no no-recurrence-events,50-59,ge40,25-29,0-2,no,3,left,right_up,no no-recurrence-events,40-49,premeno,30-34,0-2,no,3,left,left_up,no no-recurrence-events,60-69,lt40,30-34,0-2,no,1,left,left_low,no no-recurrence-events,40-49,premeno,15-19,0-2,no,2,left,left_low,no no-recurrence-events,50-59,premeno,30-34,0-2,no,3,left,left_low,no no-recurrence-events,60-69,ge40,30-34,0-2,no,3,left,left_low,no no-recurrence-events,50-59,ge40,30-34,0-2,no,1,right,right_up,no no-recurrence-events,50-59,ge40,40-44,0-2,no,2,left,left_low,no no-recurrence-events,60-69,ge40,15-19,0-2,no,2,left,left_low,no no-recurrence-events,30-39,premeno,25-29,0-2,no,2,right,left_low,no no-recurrence-events,50-59,premeno,40-44,0-2,no,2,left,left_up,no no-recurrence-events,50-59,premeno,35-39,0-2,no,2,right,left_up,no no-recurrence-events,40-49,premeno,25-29,0-2,no,2,left,left_up,no no-recurrence-events,50-59,premeno,20-24,0-2,no,1,left,left_low,no no-recurrence-events,60-69,ge40,25-29,0-2,no,3,right,left_up,no no-recurrence-events,40-49,premeno,40-44,0-2,no,2,right,left_low,no no-recurrence-events,60-69,ge40,30-34,0-2,no,2,left,left_low,no no-recurrence-events,50-59,ge40,40-44,0-2,no,3,right,left_up,no no-recurrence-events,50-59,premeno,15-19,0-2,no,2,right,left_low,no no-recurrence-events,50-59,premeno,10-14,0-2,no,3,left,left_low,no no-recurrence-events,50-59,ge40,10-14,0-2,no,1,right,left_up,no 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no-recurrence-events,40-49,premeno,25-29,0-2,no,1,right,left_low,yes no-recurrence-events,50-59,ge40,30-34,9-11,?,3,left,left_up,yes no-recurrence-events,50-59,ge40,30-34,9-11,?,3,left,left_low,yes no-recurrence-events,40-49,premeno,20-24,6-8,no,2,right,left_low,yes no-recurrence-events,50-59,ge40,25-29,0-2,no,1,left,right_low,no no-recurrence-events,60-69,ge40,15-19,0-2,no,2,left,left_up,yes no-recurrence-events,40-49,premeno,10-14,0-2,no,2,right,left_up,no no-recurrence-events,50-59,ge40,20-24,0-2,yes,2,right,left_up,no no-recurrence-events,40-49,premeno,15-19,12-14,no,3,right,right_low,yes no-recurrence-events,40-49,premeno,25-29,0-2,no,2,left,left_up,yes no-recurrence-events,50-59,ge40,30-34,6-8,yes,2,left,left_low,no no-recurrence-events,30-39,premeno,10-14,0-2,no,2,left,right_low,no no-recurrence-events,50-59,premeno,50-54,0-2,yes,2,right,left_up,yes no-recurrence-events,50-59,ge40,35-39,0-2,no,2,left,left_up,no no-recurrence-events,50-59,premeno,10-14,3-5,no,1,right,left_up,no no-recurrence-events,40-49,premeno,10-14,0-2,no,2,left,left_low,yes no-recurrence-events,50-59,ge40,15-19,0-2,yes,2,left,central,yes no-recurrence-events,50-59,premeno,25-29,0-2,no,1,left,left_low,no no-recurrence-events,60-69,ge40,25-29,0-2,no,3,right,left_low,no recurrence-events,50-59,premeno,15-19,0-2,no,2,left,left_low,no recurrence-events,40-49,premeno,40-44,0-2,no,1,left,left_low,no recurrence-events,50-59,ge40,35-39,0-2,no,2,left,left_low,no recurrence-events,50-59,premeno,25-29,0-2,no,2,left,right_up,no recurrence-events,30-39,premeno,0-4,0-2,no,2,right,central,no recurrence-events,50-59,ge40,30-34,0-2,no,3,left,?,no recurrence-events,50-59,premeno,25-29,0-2,no,2,left,right_up,no recurrence-events,50-59,premeno,30-34,0-2,no,3,left,right_up,no recurrence-events,40-49,premeno,35-39,0-2,no,1,right,left_up,no recurrence-events,40-49,premeno,20-24,0-2,no,2,left,left_low,no recurrence-events,50-59,ge40,20-24,0-2,no,2,right,central,no recurrence-events,40-49,premeno,30-34,0-2,no,3,right,right_up,no recurrence-events,50-59,premeno,25-29,0-2,no,1,right,left_up,no recurrence-events,60-69,ge40,40-44,0-2,no,2,right,left_low,no recurrence-events,40-49,ge40,20-24,0-2,no,2,right,left_up,no recurrence-events,50-59,ge40,20-24,0-2,no,2,left,left_up,no recurrence-events,40-49,premeno,15-19,0-2,no,2,left,left_up,no recurrence-events,60-69,ge40,30-34,0-2,no,3,right,central,no recurrence-events,30-39,premeno,15-19,0-2,no,1,right,left_low,no recurrence-events,40-49,premeno,25-29,0-2,no,3,left,right_up,no recurrence-events,30-39,premeno,30-34,0-2,no,1,right,left_up,no recurrence-events,60-69,ge40,25-29,0-2,no,3,left,right_low,yes recurrence-events,60-69,ge40,20-24,0-2,no,3,right,left_low,no recurrence-events,30-39,premeno,25-29,3-5,yes,3,left,left_low,yes recurrence-events,40-49,ge40,20-24,3-5,no,3,right,left_low,yes recurrence-events,40-49,premeno,30-34,15-17,yes,3,left,left_low,no recurrence-events,50-59,premeno,30-34,0-2,no,3,right,left_up,yes recurrence-events,60-69,ge40,40-44,3-5,yes,3,right,left_low,no recurrence-events,60-69,ge40,45-49,0-2,no,1,right,right_up,yes recurrence-events,50-59,premeno,50-54,9-11,yes,2,right,left_up,no recurrence-events,40-49,premeno,30-34,3-5,no,2,right,left_up,no recurrence-events,30-39,premeno,30-34,3-5,no,3,right,left_up,yes recurrence-events,70-79,ge40,15-19,9-11,?,1,left,left_low,yes recurrence-events,60-69,ge40,30-34,0-2,no,3,right,left_up,yes recurrence-events,50-59,premeno,25-29,3-5,yes,3,left,left_low,yes recurrence-events,40-49,premeno,25-29,0-2,no,2,right,left_low,no recurrence-events,40-49,premeno,25-29,0-2,no,2,right,left_low,no recurrence-events,30-39,premeno,35-39,0-2,no,3,left,left_low,no recurrence-events,40-49,premeno,20-24,3-5,yes,2,right,right_up,yes recurrence-events,60-69,ge40,20-24,3-5,no,2,left,left_low,yes recurrence-events,40-49,premeno,15-19,15-17,yes,3,left,left_low,no recurrence-events,50-59,ge40,25-29,6-8,no,3,left,left_low,yes recurrence-events,50-59,ge40,20-24,3-5,yes,3,right,right_up,no recurrence-events,40-49,premeno,30-34,12-14,yes,3,left,left_up,yes recurrence-events,30-39,premeno,30-34,9-11,no,2,right,left_up,yes recurrence-events,30-39,premeno,15-19,6-8,yes,3,left,left_low,yes recurrence-events,50-59,ge40,30-34,9-11,yes,3,left,right_low,yes recurrence-events,60-69,ge40,35-39,6-8,yes,3,left,left_low,no recurrence-events,30-39,premeno,20-24,3-5,yes,2,left,left_low,no recurrence-events,40-49,premeno,25-29,0-2,no,3,left,left_up,no recurrence-events,40-49,premeno,50-54,0-2,no,2,right,left_low,yes recurrence-events,30-39,premeno,40-44,0-2,no,1,left,left_up,no recurrence-events,60-69,ge40,50-54,0-2,no,3,right,left_up,no recurrence-events,40-49,premeno,30-34,0-2,yes,3,right,right_up,no recurrence-events,40-49,premeno,30-34,6-8,yes,3,right,left_up,no recurrence-events,40-49,premeno,30-34,0-2,no,1,left,left_low,yes recurrence-events,40-49,premeno,20-24,3-5,yes,2,left,left_low,yes recurrence-events,50-59,ge40,30-34,6-8,yes,2,left,right_low,yes recurrence-events,50-59,ge40,30-34,3-5,no,3,right,left_up,no recurrence-events,60-69,ge40,25-29,3-5,no,2,right,right_up,no recurrence-events,40-49,ge40,25-29,12-14,yes,3,left,right_low,yes recurrence-events,60-69,ge40,25-29,0-2,no,3,left,left_up,no recurrence-events,50-59,lt40,20-24,0-2,?,1,left,left_up,no recurrence-events,50-59,lt40,20-24,0-2,?,1,left,left_low,no recurrence-events,30-39,premeno,35-39,9-11,yes,3,left,left_low,no recurrence-events,40-49,premeno,30-34,3-5,yes,2,left,right_up,no recurrence-events,60-69,ge40,20-24,24-26,yes,3,left,left_low,yes recurrence-events,30-39,premeno,35-39,0-2,no,3,left,left_low,no recurrence-events,40-49,premeno,25-29,0-2,no,2,left,left_low,yes recurrence-events,50-59,ge40,30-34,6-8,yes,3,left,right_low,no recurrence-events,50-59,premeno,25-29,0-2,no,3,right,left_low,yes recurrence-events,40-49,premeno,15-19,0-2,yes,3,right,left_up,no recurrence-events,60-69,ge40,30-34,0-2,yes,2,right,right_up,yes recurrence-events,60-69,ge40,30-34,3-5,yes,2,left,central,yes recurrence-events,40-49,premeno,25-29,9-11,yes,3,right,left_up,no recurrence-events,30-39,premeno,25-29,6-8,yes,3,left,right_low,yes recurrence-events,60-69,ge40,10-14,6-8,yes,3,left,left_up,yes recurrence-events,50-59,premeno,35-39,15-17,yes,3,right,right_up,no recurrence-events,50-59,ge40,40-44,6-8,yes,3,left,left_low,yes recurrence-events,50-59,ge40,40-44,6-8,yes,3,left,left_low,yes recurrence-events,30-39,premeno,30-34,0-2,no,2,left,left_up,no recurrence-events,30-39,premeno,20-24,0-2,no,3,left,left_up,yes recurrence-events,60-69,ge40,20-24,0-2,no,1,right,left_up,no recurrence-events,40-49,ge40,30-34,3-5,no,3,left,left_low,no recurrence-events,50-59,ge40,30-34,3-5,no,3,left,left_low,no
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