Data mining Questions

I need you to answer below questions specific to data mining. 1. Consider the following Perceptron Problem: class +: (0 0) (1 0) class -: (0 1) (1 1) IMPORTANT: Instead of starting the weight vector w = (0 0) instead you must start the weight vector at: w = (-101 200) (a) what is the final weight vector and (b) what equation does this vector represent? 2. Same setup as above but start the weight vector at: w = (1010 35 ) a) what is the final weight vector and (b) what equation does this vector represent? 5. In the data folder week 1, there is a wine quality database that judges white and red wine based on some chemical tests. Assume there is a wine importer business that discovers that customers will buy wines of quality 6 and above but won't buy wines rated 5 and below. Mine the wine quality data for WHITE WINE ONLY and tell me how to determine if a wine is "bad" quality and answer this question: Should I buy $500,000 worth of the wine measured below: 6;0.33;0.18;3;0.036;5;85;0.99125;3.28;0.4;11.5 6. Look at the Parkinson's data set in the folder for week 1. Parkinson's disease is a horrible disease that disables and often kills many people each year. The STATUS attribute tells whether the person has Parkinson's Disease or not. Assume your company wants to automate the detection process and create a machine that will take these identical measurements on a person and then pass through the 'normal' people but refer the others, presumably with a strong indication of parkinson's disease, to a physician. Can you create a detector based on this data that would be accurate (with respect to missed detections and false alarms)? Try to create such a detector and test it. What do you think? Is this detector worth selling or not? What would you tell family member that got a diagnosis of Parkinson's from such a detector?