Machine Learning
What are precision and recall?
Precision asks how many positive predictions were correct.
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Precision asks how many positive predictions were correct.
Classification assigns an input to a category.
Linear regression models a numeric target as a weighted combination of features plus an intercept.
A model needs evaluation on data it did not learn from.
Cleaning transforms raw observations into consistent inputs.
A dataset is not ready simply because it loads successfully.
Machine learning finds patterns from data to support a task.
Artificial general intelligence is a research concept concerning broad capability across tasks.
A human approval checkpoint turns a proposed action into something reviewable before execution.