I have a project about Data Mining.

Project Rules :

$1)$The project to be done consists of classification problems.$($Binary Classification$)$

$2)$Give a dataset about Chronic Kidney Disease as an example.

$3)$You should find out which problem the data set is related to$,$and then search for suitable machine learning models to solve this problem.

$4)$You may need to apply preprocessing steps appropriate to your data set. Dealing with missing data, normalizing the data, deleting unnecessary features, etc.

$5)$You should experiment with at least $3$different models in your project. You should also adjust the hyperparameters, you can use the grid search method for this.

$6)$Those who do classification experiments should obtain accuracy, recall, precision, specificity and F$1-$score values for each model and different hyperparameters. In addition, a confusion matrix should be added.

$7)$It should be a written report. In your report, you are expected to write your project topic, dataset, preprocessing steps, machine learning models used, experimental results $($table or graphically$),$codes, data cube and evaluation of experimental results.