Job offersCompaniesTestsBlogI'm an employerSign upLog in
Home>IT Tests>Questions>With polynomial modeling, the greater the degree of the polynomials, the greater the risk of falling into the trap of overfitting.

Question from the Machine Learning Algorithms test

With polynomial modeling, the greater the degree of the polynomials, the greater the risk of falling into the trap of overfitting.

Easy

With polynomial modeling, the greater the degree of the polynomials, the greater the risk of falling into the trap of overfitting.

Author: W3D TeamStatus: PublishedQuestion passed 595 times
Edit
0
Community EvaluationsNo one has reviewed this question yet, be the first!
Similar Questions
2
What is the definition interval of the silhouette coefficient?
2
What is the role of assembly function in an artificial neuron?
2
SVMs seek to find a hyperplane that maximizes the width of the separating band between data of different classes.
3
How are the layers of an MLP type neural network connected to each other?
3
In the context of NLP, what is the role of the Stemming method?
4
What type of data is PCA (principal component analysis) applied to?
7
How is the error calculated during back propagation in a neural network?