You have a dataset that contains experimental data for fuel samples. You need to predict the amount of energy in kilojoules that can be obtained from a sample based on its measured density. Which type

The correct answer is D. Regression. Regression is a supervised machine learning technique which is used to predict continuous values. The ultimate goal of the regression algorithm is to plot a best-fit line or a curve between the data. The three main metrics that are used for evaluating the trained regression model

Submitted by haru.x· Mar 30, 2026Explore fundamental principles of machine learning

Question

You have a dataset that contains experimental data for fuel samples. You need to predict the amount of energy in kilojoules that can be obtained from a sample based on its measured density. Which type of AI workload should you use?

Options

AClassification
BClustering
CKnowledge mining
DRegression

How the community answered

(51 responses)

A
8% (4)
B
16% (8)
C
4% (2)
D
73% (37)

Explanation

Regression is a supervised machine learning technique which is used to predict continuous values. The ultimate goal of the regression algorithm is to plot a best-fit line or a curve between the data. The three main metrics that are used for evaluating the trained regression model are variance, bias and error. https://builtin.com/data-science/regression-machine-learning

Topics

#Machine Learning problem types#Regression#Predictive modeling#Continuous variable prediction

Community Discussion

No community discussion yet for this question.

Full AI-900 Practice