Explore how training ML models with unlabeled datasets creates unsupervised models & potential clustering models for insightful data analysis and AI-driven insights.
Table of Contents
Question
You train the ML model with an unlabeled dataset.
What type of model are you creating?
Select all that apply.
A. Classification model
B. Unsupervised ML model
C. Supervised ML model
D. Clustering model
E. Regression model
Answer
B. Unsupervised ML model
D. Clustering model
Explanation
Usually, if you are using unlabeled data, you are creating an Unsupervised ML model. The most common use of the Unsupervised ML is to cluster unlabeled data into groups based on some common properties.
Regression and Classification modeling types are two parts of Supervised machine learning that use labeled data for model training.
Option A is incorrect because the Classification model uses labeled datasets for model training.
Option E is incorrect because the Regression model uses labeled datasets for model training.
Option C is incorrect because Supervised ML includes modeling with labeled datasets.
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