What is the classification model in machine learning?
Answer / Akanksha Lohia
A classification model is a type of predictive model in machine learning that assigns a class label to new, unseen data. Classification models are typically trained using supervised learning algorithms and are used for tasks such as image recognition, spam detection, and sentiment analysis.
| Is This Answer Correct ? | 0 Yes | 0 No |
Is Python enough for machine learning?
How can you avoid overfitting?
What is the meaning of overfitting in machine learning?
What is the purpose of a classifier?
What is the activation function in Machine Learning?
What is recall?
Why do we use Python and machine learning AI?
How do I become an expert in machine learning?
What are classification problems in machine learning?
What are the different methods of Sequential Supervised Learning?
Explain how do you handle missing or corrupted data in a dataset?
Explain latent dirichlet allocation (lda).
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)