Titanic Survival
Main
(current)
Dataset
Model Features
Models
Decision Tree
K Nearest Neighbors
Logistic Regression
Random Forest
Support Vector Machine
Final Analysis
Decision Tree
Decision tree is a type of supervised learning algorithm(having a pre-defined target variable) that is mostly used in classification problems. It works for both categorical and continuous input and output variables. In this technique, we split the population or sample into two or more homogeneous sets (or sub-populations) based on most significant splitter / differentiator in input variables.