2. Submit Predictions Statistics & Analysis Data Management Hypotheses Goal Get Data Predict whom survived the Titanic Disaster

3. + Goal: Achieve High Prediction Score Score = Number of Passengers in Test Dataset Correctly Predict Passenger’s Fate

4. Submit Predictions Statistics & Analysis Data Management Hypotheses Goal Get Data Predict whom survived the Titanic Disaster Woman and Children First

5. Training and Test Data Training Data N=891 39% Survived Test Data N=418 All Titanic Passengers N= 2,223 All Employees Subset of Current Employees All Customers Subset of Customers Develop Model

6. VariableDescriptionTypeData pclassPassenger ClassCategorical, Ordinal 1 = 1st; 2 = 2nd; 3 = 3 rd Pclass is a proxy for socio-economic status 1st ~ Upper; 2nd ~ Middle; 3rd ~ Lower nameNameText Sex Categorical ageAgeNumeric sibspNumber of Siblings/Spouses AboardInteger parchNumber of Parents/Children AboardInteger ticketTicket NumberText farePassenger FareNumeric cabinCabinText embarkedPort of EmbarkationCategoricalC = Cherbourg; Q = Queenstown; S = Southampton Predictor Variables

7. Submit Predictions Statistics & Analysis Data Management Hypotheses Goal Get Data Predict whom survived the Titanic Disaster Woman and Children First Read dataset into Excel, R, etc

8. Datasets: Training and Test Develop Model Using Training Dataset and Apply to Test Data

9. Submit Predictions Statistics & Analysis Data Management Hypotheses Goal Get Data Predict whom survived the Titanic Disaster Woman and Children First Read dataset into Excel, R, etc Some Age Missing Data, Analyze Gender Only

10. Gender Model Training Data Test Data Develop Model

11. Submit Model

12. Leaderboard 320 418

13. Submit Predictions Statistics & Analysis Data Management Hypotheses Goal Get Data Predict whom survived the Titanic Disaster Woman and Children First Read dataset into Excel, R, etc Some Age Missing Data, Analyze Gender Only 74% Women, 19% Men 320 / 418 = 76.5%