A simple model with few parameters is most likely to suffer from:Group of answer choicesHigh BiasHigh Variance
Question
Solution 1
A simple model with few parameters is most likely to suffer from High Bias.
Here's why:
- Bias is the simplifying assumptions made by the model to make the target function easier to approximate. In other words, bias is the error from erroneous assumptions in the learning algorithm. High bias can Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI
Similar Questions
Unexpected behaviors or issues that can cover a broad range of deviations from normal resultsGroup of answer choicesAnomalyArtifactDefectAnalysis
A researcher has collected the following sample data. 351232The variance isGroup of answer choices
Experimentation helps to determine the nature of the relationship of independent variable only.Group of answer choicesTrueFalse
Fixed-time period models are used when demand is variable Group of answer choices True False
Characteristics of a population or sample are called…Group of answer choicesparametersvariablesestimatesstatistics
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.