Introduction to Classification Models | Data Science in Minutes

Key Takeaways

welcome to this short introduction to classification models what our classification models in machine learning there are many different models all with different types of outcomes classification models are machine learning models that predict a class type outcome in other words a classification model predicts any kind of category or class such as apples and bananas a classification model uses attributes of a person or any kind of entity to predict the entities class for example Class A might be apples and Class B my people honors the attributes of apples and bananas could be their shape their dimensions in their color these data points could be used to predict the class outcome of it likely being an apple or a banana differentiating apples from bananas based on their own unique attributes this means the model learns that certain attributes belong to a certain categories or classes for example if it's colored yellow is six to eight inches long one to two inches wide and it's crescent-shaped then these attributes are more likely to belong to a banana than an apple the model makes a prediction that given these attributes the fruit is likely to be a banana similarly if at pose has fur and whiskers and is found in every corner of the internet then it's likely a cat if a Crookes has furthers wings and is found on farms and is likely a rooster a classification model learns that these attributes belong to a certain categorical outcome in a supervised way where it directly Maps the data points to a class label the class label can be binary such as positive or negative whether a disease is present or not whether the customer is a returning customer or not or whether the job applicant successful or failed or the class label could be multiple classes such as easy intimate and advanced level in a game but all types of fruits from peaches oranges and kiwi not only apples and bananas some key algorithms used in classification models include decision trees nav phase support vector machines and neural networks which you can learn about these in future videos they all take different approaches to predicting a class outcome and that quickly sums up classification models for you thanks for watching give us a like if you found this useful or you can check out our other videos at data science dojo tutorials you