![fall of the titanic free fall of the titanic free](https://steamunlocked.net/wp-content/uploads/2019/05/Fall-of-the-titanic-steam-2.jpg)
All sample points for sex and passenger class were complete. The dataset is not complete as, for several samples, one or many fields were empty. In the test data, 418 samples that used the same format were given. Each passenger’s name, sex, age, passenger class, and point of embarkation was provided. The dataset was provided by the Kaggle website: 890 passenger samples were given under the training set, and there were associated labels as to whether the passengers survived or not. One way to make a prediction would be to use logistic regression to test the accuracy and then apply random forest to compare the accuracy between the two models as well as to rank the variables against their importance of the chance of survival. The test is based on a classification scenario that has a given a set of variables. Using these methods, we try to predict passengers’ survival rate. The techniques used in this project include logistic regression and random forest. Two approaches were taken to compare the accuracy of different machine learning techniques. Features such as title, sex, fare, class, and family density will be used to make the prediction.
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Data provided by was used in our research, and our goal is to apply random forest classification to successfully predict the importance of factors that played a crucial role in determining the passengers’ chance of survival. It is clear that the safety of the passengers in first, second, and third class was not taken into consideration the ship was a symbol of Edwardian psychological strength and stature ( Tuckett D, 1976). Two-thirds of the Titanic’s passengers and crew died.
![fall of the titanic free fall of the titanic free](https://i1.sndcdn.com/artworks-000032004705-zwxcis-t500x500.jpg)
A rescue ship, the S.S Carpathia, was alerted, but it could not arrive on time. They gradually filled up, weighing down the ship at one end and finally tilting it almost 90 degrees before it sank. While on its maiden journey, the Titanic struck an iceberg, which produced a 300 feet long gash, and five bulkheads were flooded within the three hours. Its name resonated its size (it weighed 52000 tons), and it was equipped with a system of sealed bulkheads: thus the interpretation that it was unsinkable. At 2:20 A.M on the morning of April 15 th, 1912, the ship, which was supposed to be ‘unsinkable’, sank in the North Atlantic. The Titanic represented the supremacy of the British Empire in its heyday it was the finest achievement in the art of ship-building. Palabras clave: Titanic, posición social, sobrevivientes, género, tamaño de la familia. El resultado enumeró ese título y el sexo fue el factor más importante que decidió la tasa de supervivencia de los pasajeros. La hipótesis, las mujeres y los niños se salvaron y se hicieron famosos después de que la película Titanic de Steven Spielberg (1975) se pusiera a prueba mediante un algoritmo forestal aleatorio junto con la hipótesis de que la densidad familiar desempeñaba un papel importante en la supervivencia.
![fall of the titanic free fall of the titanic free](https://steamcdn-a.akamaihd.net/steam/apps/414130/ss_75ea5421de06397de41705c8c61865a5051a94c8.1920x1080.jpg)
Los datos fueron recolectados del sitio web “” y se aplicaron algoritmos de aprendizaje automático después de un análisis visual y exploratorio. Es interesante ver cómo los patrones en el sentido sociológico decidieron cómo iba a sobrevivir. El Titanic era la paradoja perfecta ya que los pasajeros pertenecían a grupos de altos ingresos, de ingresos medios y de bajos ingresos. Las transacciones sociológicas cumplen un papel importante en el comportamiento humano y la posición social. Keywords: Titanic, social class, survived, sex, family size. The results showed that title and sex were the most important factors influencing if the passenger was to survive. The hypothesis that women and children were saved (which became famous after Steven Spielberg’s Titanic (1975)) was tested by random forest algorithm as well as the hypothesis that family density played a major role in survival. The data was collected from the website “”, and machine learning algorithms were applied after carrying out an exploratory and visual analysis. It is interesting to see how social factors influenced who was going to survive. The Titanic was the perfect example as the passengers belonged to high income, middle-income, and low-income groups. Sociological transactions play an important role in human behaviour and social standing.