Question

For____the error is calculated by finding the sum of squared distance between actual and predicted values.
option:
Clustering
Classification
None of the options
Regression
​

Answer 1

Explanation:

classification.................

Answer 2

Answer: - (d) Regression.

Detailed answer: -

For regression the error is calculated by finding the sum of squared distance between actual and predicted values.

About Regression: -

• Regression is a supervised machine learning method, a statistical method and an integral section of the predictive models.
• Regression means that a curve or a line which is passing through the required data points of X and Y plot in a unique way that the distance between the vertical line and all the data points is considered to be minimum.

About Clustering: -

• Clustering task is the unsupervised machine learning technique.
• Data scientists refer to this technique as the cluster analysis because it involves a same method and working mechanism.
• When using clustering algorithms for the first time, we need to provide large quantities of data as the inputs.

About Classification: -

• Classification is a process which identifies and groups the objects or ideas into a predetermined category.
• In the data management, the classification enables the separation and sorting of data according to set requirements for various business or personal objectives.
• In machine learning, the classification is used to predict modeling to assign input data with a class label.

For an example: -

An email security program tasked with identifying spam would use natural language processing to classify the emails as being "spam" or "not spam."

To know more about the topic, go to the given links: -

https://brainly.in/question/5625564

https://brainly.in/question/8698877

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