Final answer:
Deleting all instances with a missing value has advantages like improved accuracy and simplified analysis, but it also has drawbacks including potential loss of information and reduced sample size.
Step-by-step explanation:
Advantages of deleting all instances with a missing value:
- Improved accuracy: By removing instances with missing values, the dataset becomes more complete, leading to improved accuracy of analysis and predictions.
- Simplified analysis: Deleting missing values reduces the complexity of data analysis, as it eliminates the need for imputation or special handling of missing data.
Disadvantages of deleting all instances with a missing value:
- Potential loss of information: Deleting instances with missing values can result in the loss of valuable information and potential biases in the remaining data.
- Reduced sample size: Removing instances with missing values may lead to a reduced sample size, which can affect the statistical power and generalizability of the analysis.
In conclusion, deleting all instances with missing values has advantages such as improved accuracy and simplified analysis, but it also has drawbacks including potential loss of information and reduced sample size.