1 min readfrom Machine Learning

What is the criteria for a ML paper to be published?[D]

I'm going to attend a conference soon with my academic supervisor. I want to know what I should be expecting as I'm new to this field.
To be more specific, I'm forecasting a stock index using macroeconomic variables, where the results are robust (addressed non-stationarity and such), but have small predictive power. I've applied SHAP to a random forest model where I noticed that it struggles with regime shifts (like oil becoming a liability instead of an asset depending the period) which is explainable because it didn't learn the inverted relationship.

So I'm not sure if my results even have any worth at all to present? In my opinion, I think they're useful in terms of research discussion and further extensions, but don't indicate strong predictive power (which I think is alright when it comes to stock returns forecasting).
If I frame this well enough, like not claiming a very accurate predictor but rather an interesting diagnostic that's open for interpretability and further work, will I have a chance at a local conference?

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