BigQuery ML Contribution Analysis Shows Significant Insights

Use contribution analysis in BigQuery ML to discover important insights

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contribution analysis models have pruning optimizations by default, allowing you to use the Apriori pruning technique to obtain insights more quickly

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Look at important variables that affect patients’ health to aid improve prognoses and treatment approaches

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To maximize stock levels, assess the effects of price adjustments and inventory management techniques

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Investigate user involvement to adjust campaigns and ads according to click-through rates

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Examine variations in occurrences that software programs have logged

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Contribution analysis can be used, for instance, to compare two sets of training data to understand changes

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