Which of the following is true for the nearest neighbor classifier (Select all that apply):

Partitions observations into k clusters where each observation belongs to the cluster with the nearest mean
A higher value of k leads to a more complex decision boundary
Given a data instance to classify, computers the probability of each possible class using a statistical model of the input features

1. Partitions observations into K cluster where each observation belongs to the cluster.

Explanation:

Near neighbor classifier is a non-parametric method used for classification and regression. It is a method of supervised statistical a pattern in the study of population.

It allocates each observation in clusters to make observation very easy. It achieves a high performance rate. A sample is said to be classified by calculating the nearest distance to the training case. It involves both the positive abd negative case of training case.

10 states did

~courtney

this means that germany had to pay the allied countries. reparations are/is essentially payment for something that they have done wrong, so after ww1, germany was forced to pay reparations so they could replenish the allied countries resources' that they had lost during the war.