# Tutorial 1: Gender Based Model (0.76555) – by Myles O’Neill import numpy as np import pandas as pd import pylab as plt # (1) Import the Data into the Script train = pd.read_csv(“../input/train.csv”, dtype={“Age”: np.float64}, ) test = pd.read_csv(“../input/test.csv”, dtype={“Age”: np.float64}, ) # (2) Create the submission file with passengerIDs from the test file submission = pd.DataFrame({“PassengerId”: test[‘PassengerId’], “Survived”: pd.Series(dtype=’int32′)}) # (3) Fill the Data for the survived column, all females live (1) all males die (0) submission.Survived = [1 if x == ‘female’ else 0 for x in test[‘Sex’]] # (4) Create final submission file submission.to_csv(“submission.csv”, index=False) # (5) Optional: A Nice Visual showing Survival of Men and Women to justify this approach female_stats = train[train[‘Sex’] == ‘female’] females_alive = np.sum(female_stats[‘Survived’] == 1) females_dead = len(female_stats.index) -…

Link to Full Article: randomforest

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!