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.