The Trained Model - Graphical Visualization Assignment

Question 1: 

• Train the model using 70% of this dataset.                                            
• Predict the test set using the trained model.                                      
• Provide the confusion matrix and obtain the probability of correctness of predictions.
• Write the functional form of your proposed classifier.                        

Question 2:  

• Perform classification task using a linear SVM classifier to correctly classify ‘wool’ attribute in warpbreaks dataset. To do so, 
• Train your model using 80% percent of dataset and test the model using the remaining 20%.                                                         
• Compute the confusion matrix and evaluate the performance of classifier.                                                                                         
• Change the kernel of SVM to ‘radial’, and compute confusion matrix.
• Which kernel is preferable?                                                   

Question 3 

• Using Yahoo Finance API, select a specific stock market price,  apply time series analysis, consider ‘close price as your time series variable:
• Validate the assumptions using graphical visualization.      
• Fit the optimized model for ‘close price’ and provide the coefficient estimates for the fitted model.                                               
• What is the estimated order for AR and MA?                           
• Forecast h=10 step ahead prediction of wage on the plot of the original time series.