> ## Documentation Index
> Fetch the complete documentation index at: https://docs.clickml.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Missing Values imputation component

> Handle missing data with advanced imputation methods including interpolation, KNN imputation, and iterative model-based filling for numerical columns.

The **Missing Values** component extends basic cleaning with more imputation strategies, including KNN-based imputation and interpolation.

## Configuration

| Option          | Description                                                                                                                                        |
| --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Columns**     | Columns to apply the strategy to. Supports `All Numerical Features` and `All Categorical Features` shortcuts. Leave empty to apply to all columns. |
| **Strategy**    | Imputation method (see table below).                                                                                                               |
| **Fill Value**  | The constant value to use when Strategy is `Fill Constant`.                                                                                        |
| **N Neighbors** | Number of neighbors for `KNN Imputation` (default: 5).                                                                                             |

### Strategies

| Strategy           | Description                                                               |
| ------------------ | ------------------------------------------------------------------------- |
| Drop Rows          | Remove rows with any missing value in selected columns                    |
| Drop Columns       | Remove the selected columns                                               |
| Fill Constant      | Fill missing values with a fixed value                                    |
| Fill Mean          | Fill with column mean                                                     |
| Fill Median        | Fill with column median                                                   |
| Fill Mode          | Fill with most frequent value                                             |
| Fill Forward       | Propagate the last valid value forward                                    |
| Fill Backward      | Propagate the next valid value backward                                   |
| Interpolate Linear | Linear interpolation between known values (numerical only)                |
| KNN Imputation     | Impute using K-nearest neighbors based on other features (numerical only) |

## Input / Output

|        | Type      |
| ------ | --------- |
| Input  | DataFrame |
| Output | DataFrame |

<Tip>
  KNN Imputation produces the most accurate results but is slower on large datasets. For quick fixes, Fill Mean or Fill Median is usually sufficient.
</Tip>