Podcast
Questions and Answers
Which of the following strategies is most effective for mitigating the risk of bias in machine learning models?
Which of the following strategies is most effective for mitigating the risk of bias in machine learning models?
- Ignoring potential biases in training data to ensure the model reflects real-world disparities.
- Carefully selecting features and applying appropriate regularization techniques to prevent overfitting to biased data. (correct)
- Using a smaller dataset to reduce computational complexity.
- Employing data augmentation techniques to artificially inflate the size of the biased group.
In the context of experimental design, what is the primary purpose of randomization?
In the context of experimental design, what is the primary purpose of randomization?
- To ensure that the sample is representative of the population.
- To evenly distribute confounding variables across treatment groups, reducing bias. (correct)
- To eliminate the need for statistical analysis.
- To increase the statistical power of the experiment by maximizing sample size.
How does an increase in sample size generally affect the power of a statistical test, assuming all other factors remain constant?
How does an increase in sample size generally affect the power of a statistical test, assuming all other factors remain constant?
- It only affects the power if the effect size is small.
- It increases the power, making it easier to detect a true effect. (correct)
- It has no impact on the power of the test.
- It decreases the power because a larger sample introduces more variability.
Consider two datasets with equal means but different standard deviations. Which dataset would require a larger sample size to achieve the same level of statistical power in a hypothesis test?
Consider two datasets with equal means but different standard deviations. Which dataset would require a larger sample size to achieve the same level of statistical power in a hypothesis test?
A researcher wants to study the effect of a new drug on reducing blood pressure. What type of experimental design would best control for the placebo effect?
A researcher wants to study the effect of a new drug on reducing blood pressure. What type of experimental design would best control for the placebo effect?
Which of the following is a key assumption of linear regression?
Which of the following is a key assumption of linear regression?
In A/B testing, what does a statistically significant result indicate?
In A/B testing, what does a statistically significant result indicate?
What is the primary benefit of using cross-validation techniques in machine learning model evaluation?
What is the primary benefit of using cross-validation techniques in machine learning model evaluation?
Consider a classification problem with a highly imbalanced dataset (e.g., 90% negative, 10% positive). Which evaluation metric is most appropriate for assessing model performance?
Consider a classification problem with a highly imbalanced dataset (e.g., 90% negative, 10% positive). Which evaluation metric is most appropriate for assessing model performance?
What is the purpose of regularization in machine learning?
What is the purpose of regularization in machine learning?
Flashcards
Largest US State by Area
Largest US State by Area
Alaska is the largest state in the USA by area.
Study Notes
- Alaska is the largest state in the United States by area.
- Texas and California are also large states but smaller than Alaska.
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