How can we improve the accuracy of our algorithms?
Improving algorithm accuracy can involve several strategies, such as optimizing data quality, feature selection, and model tuning.
What role does data quality play in algorithm accuracy?
Data quality is crucial; high-quality, relevant data leads to better training and more accurate predictions.
Can you explain feature selection?
Feature selection involves choosing the most relevant variables to use in your model, which can enhance performance and reduce overfitting.
What is model tuning?
Model tuning refers to adjusting the parameters of your algorithm to improve its performance on validation data.
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