Predict the Survival of Titanic Passengers 

Train a logistic classifier on the "Titanic" dataset, which contains a list of Titanic passengers with their age, sex, ticket class, and survival.

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X dataset = ExampleData[{"MachineLearning", "Titanic"}, "Data"]; c = Classify[dataset, Method -> "LogisticRegression"]

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Plot the survival probability of Titanic passengers as a function of their sex, age, and ticket class.

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X p[class_, age_, sex_] := c[{class, age, sex}, {"Probability", "survived"}]; Plot[{ p["1st", x, "female"], p["3rd", x, "female"], p["1st", x, "male"], p["3rd", x, "male"]}, {x, 0, 100}, PlotLegends -> { "female, 1st class", "female, 3rd class", "male, 1st class", "male, 3rd class"}, Frame -> True, FrameLabel -> {"Age (years)", "Survival probability"}]

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