Find the correlation between the number of bugs
and the features repository_name
, commit_hash
, commit_date
, commit_author
and commit_message
.
Implement a model, based on a given dataset, that is able to predict the number of bugs
with maximum accuracy.
The dataset contains 5 features and 1 target variable.
repository_name
- repository namecommit_hash
- commit hashcommit_date
- commit datecommit_author
- commit authorcommit_message
- message submitted with the commitbugs
- number of errors (target attribute)