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…

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…

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

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