In causal inference, biases arise when omitted variables correlate with the outcome.
But for prediction, biases arise when omitted variables correlate with payoffs.
In causal inference, biases arise when omitted variables correlate with the outcome.
But for prediction, biases arise when omitted variables correlate with payoffs.