NLP3

1. What is the main focus when evaluating a binary classification model's performance?

• A) True Negatives (TN)
• B) False Positives (FP)
• C) False Negatives (FN)
• D) True Positives (TP)

Which metric considers the ratio of correctly classified positives to all predicted positives?

• A) Precision
• B) Recall
• C) Accuracy
• D) F1 Score

.In multiclass classification, how is the "positive" class defined for each class?

• A) As the class with the highest frequency
• B) As the class with the lowest frequency
• C) Arbitrarily for any class we are focusing on
• D) As any class except the current one

What is the formula for calculating the F1 Score, a combined metric for precision and recall?

• A) F1 Score = Precision / Recall
• B) F1 Score = 2 * (Precision * Recall) / (Precision + Recall)
• C) F1 Score = Precision - Recall
• D) F1 Score = Precision * Recall

When evaluating a binary classification model, if the Accuracy is 90%, and 90% of the actual data are positive classes?

• This is a very good model
• This is a very bad model
• Accuracy is not the proper metric in this case
• This is a sign of overfitting

When evaluating a binary classification model, and all positive instances are correctly classified . Then

• Precision = 0
• Recall = 0
• Precision = 1
• Recall = 1

When evaluating a binary classification model, and all instances are classified as negative. Then

• Precision=0 and Recall=0
• Precision=1 and Recall =1
• Recall = Precision=Accuracy
• Recall=1

Which of the following is NOT a common vectorization technique used in text classification?

• Bag of Words (BoW)
• Term Frequency-Inverse Document Frequency (TF-IDF)
• Word Embeddings
• Text preprocessing

When splitting a dataset into training and validation sets, what is the main reason for using stratified sampling?

• A) To ensure equal class distribution in both sets
• B) To randomize the data for better model performance
• C) stratified sampling is always preferred in Regression and Classification

• D) To simplify the text classification process