Question

A model working at 95% with 100k rows of data and 97% with 500k rows is an example of

A: Dataset limitations
B: Accuracy issues
C: Diminishing returns
D: Sensitive columns

Answer 1

The scenario described in the question illustrates the concept of diminishing returns, where the increase in accuracy of a model diminishes as more data rows are added.

Step-by-step explanation:

The scenario described in the question is an example of diminishing returns. In this case, the model's accuracy increases as the number of rows of data increase, but the rate of improvement decreases. The model goes from working at 95% accuracy with 100k rows to 97% accuracy with 500k rows. While the increase in accuracy is noticeable, it is not as substantial as the previous increase.

This concept can be compared to other situations where the initial gains are significant but start to diminish as more resources or efforts are invested. For example, when a company starts advertising, they may see a huge boost in sales, but as they continue to invest in marketing, the additional sales increase becomes smaller.