Classification is a machine learning technique used to categorize data into predefined classes or labels. It is a supervised learning method where the model is trained on labeled data and then used to predict the category of new, unseen data.
In artificial intelligence and data science, classification is commonly used to make decisions, detect patterns, and automate categorization tasks based on input features.
For example:
- An email system classifies messages as “spam” or “not spam.”
- A medical system classifies tumors as “benign” or “malignant.”
- A sentiment analysis model classifies text as “positive,” “negative,” or “neutral.”
- A banking system classifies transactions as “fraudulent” or “legitimate.”
Common types and concepts related to classification include:
- Supervised Learning
- Binary Classification
- Multi-class Classification
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- Neural Networks
- Training Data & Labels
