Chapter 1

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objectives of Study
1.5 Limitations of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2

: Literature Review 2.1 Overview of Music Genre Classification Studies
2.2 Machine Learning Algorithms in Music Classification
2.3 Previous Research on Music Genre Classification
2.4 Impact of Music Genre Classification in the Music Industry
2.5 Challenges in Music Genre Classification
2.6 Trends in Music Genre Classification Research
2.7 Evaluation Metrics in Music Genre Classification
2.8 Data Collection for Music Genre Classification
2.9 Feature Extraction in Music Genre Classification
2.10 Music Genre Classification Applications

Chapter 3

: Research Methodology 3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Tools
3.5 Machine Learning Algorithms Selection
3.6 Model Evaluation Techniques
3.7 Validation Procedures
3.8 Ethical Considerations in Research

Chapter 4

: Discussion of Findings 4.1 Analysis of Experimental Results
4.2 Comparison of Machine Learning Algorithms
4.3 Interpretation of Classification Performance
4.4 Discussion on Feature Importance
4.5 Addressing Limitations and Challenges
4.6 Implications for Music Genre Classification
4.7 Recommendations for Future Research

Chapter 5

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Suggestions for Further Research