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

(Tip: when printing the list of coefficients, make sure to use print_rows(rows=12) to print ALL coefficients.)

Practice More Questions From: Analyzing product sentiment

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

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

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Out of the 11 words in selected_words, which one got the most positive weight in the selected_words_model? (Tip: when printing the list of coefficients, make sure to use print_rows(rows=12) to print ALL coefficients.)

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Out of the 11 words in selected_words, which one got the most negative weight in the selected_words_model? (Tip: when printing the list of coefficients, make sure to use print_rows(rows=12) to print ALL coefficients.)

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Which of the following ranges contains the accuracy of the selected_words_model on the test_data?

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

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

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How do you compare the different learned models with the baseline approach where we are just predicting the majority class?

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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?

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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?

Q:

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?

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