### What are binary classification loss functions??

Binary Classification Loss Functions These loss functions are made to measure the performances of the classification model. In this, data points are assigned one of the labels, i.e. either 0 or 1. Further, they can be classified as:

### What are the different types of loss functions??

Widely speaking, the Loss functions can be grouped into two major categories concerning the types of problems that we come across in the real world — Classification and Regression. In Classification, the task is to predict the respective probabilities of all classes that the problem is dealing with.

### What are the different loss functions in machine learning??

Different loss functions are used to deal with different type of tasks, i.e. regression and classification. Back Propogation and Optimisation Function: Error J (w) is a function of internal parameters of model i.e weights and bias.

### What is the use of integer loss function in classification??

In this case, it is intended for use with multi-class classification where the target values are in the set {0, 1, 3, …, n}, where each class is assigned a unique integer value. Mathematically, it is the preferred loss function under the inference framework of maximum likelihood.