Q1. Using Weka, apply the following algorithms (all under meta) on Heart Data using only the popular 14 attributes [#3 (age) , #4 (sex) , #9 (cp), #10 (trestbps) , #12 (chol) , #16 (fbs), #19 (restecg) , #32 (thalach), #38 (exang) , #40 (oldpeak) , #41 (slope) , #44 (ca), #51 (thal), #58 (num) (the predicted attribute)], and classify the given unknown instances. i. AdaBoostM1 ii. Bagging iii. Randomcommittee iv. LogitBoost v. MultiBoostAB vi. Dagging vii. RandomTree (under trees)   Present the data in a tabular form with output from each of the 7 classifiers for the unknown instances. Finally, rank the classifiers based on their accuracy. If you need to perform any data transformation for a classifier, please do so.   What to submit? Submit a pdf file with your answers via the Blackboard. Your output should look like this: Name               Course                         HW# Q1. Work and results for Q1 Q2. Work and results for Q2