You are a data scientist for a major airline and you have built a model to predict customer satisfaction. However, you now want to perfect this model by maximizing model fit and minimizing overfitting Data Use the dataset below airline_satisfaction.csv. If you used this dataset in a prior assessment, you do not need to download it again. It has not changed. Dataset details: https://www.kaggle.com/datasets/teejmahal20/airline-passenger-satisfaction Task Complete the series of tasks detailed in the questions below Publish your finished ML Studio experiment to the AI Gallery and paste the URL where directed below Upload your completed template file where directed below 1)Publish your experiment to the AI Gallery and copy/paste the URL below 2)Upload the Excel file template you used to record all of your modeling results
Classification
| Algorithm | Features | Accuracy | Prescision | Recall | F-Score | |
| Two-Class Averaged Perceptron | All | |||||
| Two-Class Bayes Point Machine | ||||||
| Two-Class Boosted Decision Tree | ||||||
| Two-Class Decision Forest | ||||||
| Two-Class Decision Jungle | ||||||
| Two-Class Logistic Regression | ||||||
| Two-Class Neural Network | ||||||
| Two-Class Support Vector Machine |