Skip to content

About

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

Topics

classification-algorithmcomparative-analysisdecision-treesfeature-engineeringlogistic-regressionsmoteunbalanced-dataxgboost

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository
BranchesTags

Latest commit

 

History

10 Commits

Folders and files

NameName
Last commit message
Last commit date
README.md
README.md
 
 
S13_T01.ipynb
S13_T01.ipynb
 
 

Repository files navigation

Classification_models

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

About

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

Topics

classification-algorithmcomparative-analysisdecision-treesfeature-engineeringlogistic-regressionsmoteunbalanced-dataxgboost

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages