Quantum Modelling - IBM HR Attrition Dataset

This is the dataset developed using data Pavansubhash. (2017). IBM HR Analytics Employee Attrition & Performance. https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset/data

The data has been preprocessed as clean, noisy and imbalanced and machine learning has been attempted to apply and test classical models such as RandomForest, SVM, LogisticRegression, GradientBoosting, NNN, NaiveBayes, DecisionTree, and also Quantum Models such as QuantumKernel, QSVC, VQC_shallow, VQC_deep. The models were compared using metrics such as Accuracy, Precision, Recall, F1, Time and a Confusion Matrix was developed.

The code used for preprocessing, classical and quantum modelling has been provided,
Software and environment the code was operated details has been added
The Clean, Noisy and Imbalanced datasets were provided
Final Results were also added