Choose the most important goal: ['logistic regression', 'cox regression', 'linear regression']. Respond with a JSON including 'rank', 'goal', 'question' and 'why'. Data in csv format:
pclass,survived,name,sex,age,sibsp,parch,ticket,fare,cabin,embarked,boat,body,home.dest
1,1,"NAME_1, Miss. Elisabeth NAME_2",female,29.0,0,0,24160,211.3375,B5,S,2,,"St Louis, MO"
1,1,"NAME_3, Master. NAME_4 NAME_5",male,0.9167,1,2,113781,151.55,NAME_6 NAME_7,S,11,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_3, Miss. NAME_8 NAME_9",female,2.0,1,2,113781,151.55,NAME_6 NAME_7,S,,,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_3, Mr. NAME_10 NAME_11",male,30.0,1,2,113781,151.55,NAME_6 NAME_7,S,,135.0,"Montreal, PQ / Chesterville, ON"
1,0,"NAME_3, NAME_12 J NAME_13 (NAME_14 NAME_15)",female,25.0,1,2,113781,151.55,NAME_6 NAME_7,S,,,"Montreal, PQ / Chesterville, ON"
(5 rows out of 1309)
Ensure the response can be parsed by Python json.loads In your entire response, the letter s should appear less than 7.
user