Answer:
Explanation:
Classification offers several advantages, such as:
Organization: It helps in organizing data into meaningful categories, making it easier to understand and analyze.
Prediction: Classification models can predict the class or category of new, unseen data based on patterns learned from the training data.
Decision Making: By classifying data into different categories, it assists in making informed decisions and identifying trends or patterns.
Automation: Once a classification model is trained, it can automate the process of assigning labels or categories to new data, saving time and effort.
Insights: Classification can reveal insights and relationships between variables, aiding in understanding complex systems or phenomena.
Data Reduction: It can simplify complex datasets by reducing the number of variables or features, making data easier to manage and interpret.
Pattern Recognition: Classification algorithms can detect patterns and correlations within data, which can be useful in various fields like healthcare, finance, and marketing.
