For most machine learning algorithms, overfitting happens when the model complexity or training time is too high.
For k-nearest neighbors, it happens when k is too low (e.g., 1).
For most machine learning algorithms, overfitting happens when the model complexity or training time is too high.
For k-nearest neighbors, it happens when k is too low (e.g., 1).
Tomorrow (Nov 7), 19:00: an all-new R-ladies bookclub event! We'll be discussing splines and K-nearest neighbors. If you want to participate, sign up via Meetup: https://www.meetup.com/nl-NL/rladies-den-bosch/events/289432128/
R-ladies Utrecht and Den Bosch have joined forces, and we have been discussing "Hands-on Machine Learning with R" (https://bradleyboehmke.github.io/HOML/). No need to read in advance :)
#rstats #rladies #meetup #bookclub #RLadiesUtrecht #RLadiesDenBosch #machineLearning #statistics #splines #knn #kNearestNeighbors