Question: We are building a classification model using Scikit - learn for a binary classification task. The dataset has features x and target labels. After training

We are building a classification model using Scikit-learn for a binary classification task. The dataset has features x and target labels. After training the model, we want to evaluate its performance.
Which statement correctly describes the accuracy rate in a classification task?
The accuracy rate measures the ability of a model to identify all relevant instances.
Accuracy rate is the ratio of true positive predictions to the total number of positive instances in the dataset.
It is a measure of the trade-off between precision and recall in classification.
It represents the proportion of correctly classified instances out of the total number of instances.

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