Question

The __________ of a machine learning model trained for a classification problem is one way to measure how often the model classifies a data point correctly.

Answer choices

Select only one option

F1 score

Accuracy

Precision

Recall​

Answer 1

Answer:

Explanation:

it is fully correct question

Answer 2

Concept

The term "classification" in machine learning refers to a predictive modelling issue where a class label is predicted for a specific sample of input data. Classification issues include the following examples: Determine whether it is spam by using the provided example. Determine which of the recognized characters a handwritten character belongs to.

Given

The __________ of a machine learning model trained for a classification problem is one way to measure how often the model classifies a data point correctly.

Find

Correct alternative for the given blank.

Solution

The accuracy of a machine learning model trained for a classification problem is one way to measure how often the model classifies a data point correctly.

Hence, The accuracy of a machine learning model trained for a classification problem is one way to measure how often the model classifies a data point correctly.

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