I have strings with list of specification chapters, for example:1.1.3-1.1.18, 2.8, 3.41 or 1.3, 2.5 and all from 3. My task is predict software development time based on these chapters (and some other features).Chapters has deep of nesting 5 (i.e 1.2.3.4.5, or 4.28.14.1.2 chapters are possible). Usually, more chapters leads to longer development, but counting chapters only is not enough, because some chapters are big and complex a even one of them can take a long time to develop. Making one feature for each chapter leads to huge number of features.Is there a way to transform them into the reasonable count of good numerical features?
How to transform list of chapters into features
data mining;dataset;data cleaning;linear regression;supervised learning