3. (30) According to the Confusion matrix given below, a) Overall Accuracy Overall Recal value Overall Precision value Overall F1 score b) Comment on the RESULTS and Performance of the Classification Model PLEASE Replace X with your last digit of student Number. if your last digit is 0 then use 5) (PS: YOU CAN write your answer to a paper sheet and insert the Image of it to your answer WORD paper) Real States B Prediction | 5 0 6 0 0 0 0 X ololo C (Learning outcome 6: Will be able to apply data mining algorithms.) 1. (25) You listed the pastries according to the different recipes you found on the internet and their ingredients, as in the table below. You want to determine whether the recipe you have found will be Su pastry or Kol pastry. Suggest a Data Mining Method and show that the recipe with a question mark belongs to which class. (WARNINGS No NORMALIZATION is needed the amounts of the ingredients are fictitious You have to perform mathematical calculation to prove the class not your insights or intuitions You can use pen/pencil and paper and upload you calculation) PLEASE Replace X with your last digit of student Number. if your last digit is 0 then use 5) (PS: YOU CAN write your answer to a paper sheet and insert the Image of it to your answer WORD paper) Milk (ml) 200 100 100 Butter (8) X00 200 150 X00 275 275 225 Flour (g) 250 300 300 350 325 275 275 Water(ml) 200 200 200 300 XOO 400 Class Su pastry Kol pastry Kol pastry Kol pastry Su pastry Su pastry 50 150 175 150 ???? (Learning outcome 2: will be able to relate Data Mining Models with each other.) 2. (These QUESTIONS are NOT True FALSE questions you have to state and discuss your answer. If you just write TRUE / FALSE and not describe the REASONS your answer WONT be scored) a. (5) We get rid of missing and inconsistent data with preprocess step called data editing, which is one of the data mining preprocessing step