Problem 1 [14 points]: Titanic Correlations A dataset of 891 passengers on the Titanic gives the following features of each: survival 1 if passenger survived, 0 otherwise pclass Ticket class (e.g. 1 = 1st class). lower numbers are fancier tickets. Age Age in years sibsp number of siblings / spouses aboard parch number of parents / children aboard fare cost a ticket alone 1 if passenger was alone, 0 otherwise The matrix below gives the sample correlation between every pair of features. For example, be- cause the correlation between age and fare is .096, we can deduce that among these 891 passengers, as they get older they also paid slightly more for their tickets. survived pclass age sibsp parch fare adult male alone survived 1.000 -0.338 -0.077 -0.035 0.082 0.257 -0.557 -0.203 pclass -0.338 1.000 -0.369 0.083 0.018 -0.550 0.094 0.135 age .0.077 -0.369 1.000 -0.308 -0.189 0.096 0.280 0.198 sibsp 0.035 0.083 -0.308 1.000 0.415 0.160 -0.254 -0.584 parch 0.082 0.018 -0.189 0.415 1.000 0.216 -0.350 -0.583 fare 0.257 -0.550 0.096 0.160 0.216 1.000 0.182 -0.272 adult male 0.557 0.094 0.280 -0.254 -0.350 -0.182 1.000 0.405 alone -0.203 0.135 0.198 -0.584 -0.583 -0.272 0.405 1.000 Give a "recipe" for identifying the passenger which is most likely to survive the Titanic. Your recipe should be a list of requirements about each feature, from the most important to the least in the following format: 1 (Age -): It is most important that the passenger is as young as possible 2 (sibsp -): It is next most important that a passenger has as few siblings and parents on the titanic with them. 3 ... Be sure that your list is easily understood by a non-technical reader and includes all 7 features in the data (except "survived")