Parametric Vs Non Parametric Models
Table Of Contents:
- Parametric Models
- Key Characteristics
- Examples
- Advantages
- Disadvantages
- Non Parametric Models
- Key Characteristics
- Examples
- Advantages
- Disadvantages
Parametric Model:
- A parametric model assumes a specific functional form for the relationship between the input features and the output.
- These models have a fixed number of parameters that are determined during the training process.
Key Features – Parametric Model
Examples – Parametric Model
Advantages & Disadvantages – Parametric Model
Non – Parametric Model:
- A non-parametric model makes no strong assumptions about the form of the mapping function.
- Instead, it learns the structure directly from the data, allowing for a more flexible fit.
Key Features – Non-parametric Model
Examples – Non-parametric Model
Advantages & Disadvantages – Non-parametric Model
