I read some studies in Software defect predictions (published in good journals) that mentioned that we should use datasets with an Events Per Variable (EPV) greater than 10; otherwise the results will be susceptible. My question is, what is the meaning of authors by the word "susceptible"? In other words, what are the disadvantages of using datasets having EPV less than 10? Do they mean, datasets with EPV > 10 provides more accurate prediction than the datasets with EPV < 10 ?

Thanks

I read some studies in Software defect predictions (published in good journals) that mentioned that we should use datasets with an Events Per Variable (EPV) greater than 10; otherwise the results will be susceptible. My question is, what is the meaning of authors by the word "susceptible"? In other words, what are the disadvantages of using datasets having EPV less than 10? Do they mean, datasets with EPV > 10 provides more accurate prediction than the datasets with EPV < 10 ?

The original text of the paper I am talking about is in the following quotes: "" Larger EPV values indicate the lower risk of producing unstable results due to overfitting. Our recent work shows that defect prediction models that are trained using datasets with low EPV values are especially susceptible to unstable results""

Thanks