Rkrohit371 / Titanic---Machine-Learning-from-DisasterView Project on Github
Indicates how healthy your codebase is. The higher the score, the better.
Cost of technical debt removal.
Equivalent engineering effort.
Refactor Duplicate Code
Reduce Code Complexity
Improve Code Readability
Code Distribution per Language. It helps you have an overview of what language is the most used in your project.
DISTRIBUTION OF VIOLATIONS PER CATEGORY
Distribution of the violations detected using static analysis tools per category. It helps to identify if there is a specific category where bugs are prevalent.
Prevalent CategoryBest Practices
DISTRIBUTION OF VIOLATIONS PER SEVERITY
Distribution of the violations detected using static analysis tools per severity. A low severity means the violations is serious.
Functions that have more than 40 lines of code (SLOCS). Learn more about why long functions should be avoided.
No long functions detected.
Functions that have a a high cyclomatic complexity and are more likely to have bugs. Learn more about cyclomatic complexity.
No complex functions detected.
Percentage of the code that is duplicated in the repository. Learn more about why code should not be duplicated.
No duplicate lines detected.
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