Podcast
Questions and Answers
What is the appropriate method to fill in the NaN’s present in a column with categorical variables?
What is the appropriate method to fill in the NaN’s present in a column with categorical variables?
What is the probability of failure of an air conditioning system due to a gas leak?
What is the probability of failure of an air conditioning system due to a gas leak?
Given evidence of a gas leak in the failure of an air-conditioning system, what is the probability that electrical failure could have occurred?
Given evidence of a gas leak in the failure of an air-conditioning system, what is the probability that electrical failure could have occurred?
Given evidence of electrical failure in an air-conditioning system, what is the probability that a gas leak could also have occurred?
Given evidence of electrical failure in an air-conditioning system, what is the probability that a gas leak could also have occurred?
Signup and view all the answers
Which metric is used for the continuous output problem?
Which metric is used for the continuous output problem?
Signup and view all the answers
Study Notes
Dealing with NaN's in Categorical Variables
- For categorical variables, it's not suitable to fill NaN's with mean or median values, as it may not make sense in the context of the data.
- Instead, possible approaches include:
- Removing rows with NaN values
- Replacing NaN values with a new category (e.g., "Unknown")
- Using a model that can handle missing values (e.g., decision trees)
Probabilities in Air Conditioning System Failure
- The probability of an air conditioning system failure due to a gas leak is unknown.
- Given evidence of a gas leak, the probability of electrical failure occurring is unknown.
- Given evidence of electrical failure, the probability of a gas leak also occurring is unknown.
Metrics for Continuous Output Problems
- For continuous output problems, a suitable metric is needed to evaluate the model's performance.
- Possible metrics include Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-Squared.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Test your knowledge of data science and AI concepts with this Winter 2022 review quiz. From handling missing data in categorical variables to understanding the probability of failure in air conditioning systems, these review questions will help reinforce your understanding of key topics.
