#weak-3-QUIZ_2 Classification

# Quiz_2 Week 3

1. Out of the 11 words in selected_words, which one is most used in the reviews in the dataset?
- great

2. Out of the 11 words in selected_words, which one is least used in the reviews in the dataset?
- wow

3. Out of the 11 words in selected_words, which one got the most positive weight in the selected_words_model?
-love

4. Out of the 11 words in selected_words, which one got the most negative weight in the selected_words_model?
- terrible

5. Which of the following ranges contains the accuracy of the selected_words_model on the test_data?
-0.843

6. Which of the following ranges contains the accuracy of the sentiment_model in the IPython Notebook from lecture on the test_data?
-.916

7. Which of the following ranges contains the accuracy of the majority class classifier, which simply predicts the majority class on the test_data?
- .835

8. How do you compare the different learned models with the baseline approach where we are just predicting the majority class?
- all words better and other almost same

9. Which of the following ranges contains the "predicted_sentiment" for the most positive review for "Baby Trend Diaper Champ", according to the sentiment_model from the IPython Notebook from lecture?
- 0.999999937267

10. Consider the most positive review for "Baby Trend Diaper Champ" according to the sentiment_model from the IPython Notebook from lecture. Which of the following ranges contains the predicted_sentiment for this review, if we use the selected_words_model to analyze it?
- 0.79694

11. Why is the value of the predicted_sentiment for the most positive review found using the sentiment_model much more positive than the value predicted using the selected_words_model?
- None of the selected_words appeared in the text of this review.