- We use the admission dataset from the UCLA Institute for Digital Research and Education (IDRE). You can download the entire dataset from the following URLs:
- For home page, you can refer to http://www.ats.ucla.edu/stat/
- For data file, you can refer to https://stats.idre.ucla.edu/stat/data/binary.csv
The dataset comprises four columns, with the first column being the dependent variable (label - whether the student was admitted or not) and the next three columns being the explanatory variables, that is, the features that will explain the admission of a student.
We have chosen and cleaned the first three columns as features. We use the first 200 rows to train and predict the median price:
-
- Admission - 0, 1 indicating whether ...
