# Information based ML

## Decision Tree(cart)

### Input Data

|                   |                                                                                       |
| ----------------- | ------------------------------------------------------------------------------------- |
| **\*Target Data** | Input Data                                                                            |
| **\*Model Name**  | Name of the model                                                                     |
| **Output Name**   | Name of the output after the calculation(optional)                                    |
| **Merge Data**    | If not empty, the prediction data will be stored in the selected data frame(optional) |
| **\*X**           | Independent variables                                                                 |
| **\*Y**           | Dependent variable                                                                    |

![\[Task Information of Decision Tree\]](/files/-MKuoAm6cW42MbcPDa33)

## Random Forests

### Input Data

|                   |                                                                                                                                                                         |
| ----------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **\*Target Data** | Input Data                                                                                                                                                              |
| **\*Model Name**  | Name of the model                                                                                                                                                       |
| **Output Name**   | Name of the output after the calculation(optional)                                                                                                                      |
| **Merge Data**    | If not empty, the prediction data will be stored in the selected data frame(optional)                                                                                   |
| **X**             | Independent variables                                                                                                                                                   |
| **Y**             | <p>Dependent variable.</p><p></p><ul><li>If the variable for Y is not a factor, convert it by using <strong>Convert Factor</strong> before running the model.</li></ul> |

![\[Task Information of Random Forests\]](/files/-MKvN123mkEDM6h-bPdj)

## Decision Tree (C5.0)

### Input Data

|                   |                                                                                                                                                                                   |
| ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **\*Target Data** | Input Data                                                                                                                                                                        |
| **\*Model Name**  | Name of the model                                                                                                                                                                 |
| **Output Name**   | Name of the output after the calculation(optional)                                                                                                                                |
| **Merge Data**    | If not empty, the prediction data will be stored in the selected data frame(optional)                                                                                             |
| **X**             | Independent variables                                                                                                                                                             |
| **Y**             | <p>Dependent variable. Factor type only</p><ul><li>If the variable for Y is not a factor, convert it by using <strong>Convert Factor</strong> before running the model.</li></ul> |

![\[Task Information of Decision Tree(C5.0)](/files/-MKvQYMppo-hucYwbQfT)

## Workflow Example&#x20;

![](/files/-MLWaj_twwRwOyCl7BSE)

## R Packages

**Decision Tree (cart)**

Package name: rpart, Method: rpart

<https://cran.r-project.org/web/packages/rpart/index.html>

**Random Forests**

Package name: randomForest, Method: randomForest

<https://cran.r-project.org/web/packages/randomForest/index.html>

**Decision Tree (C5.0)**

Package name: C50, Method: C5.0.default

<https://cran.r-project.org/web/packages/C50/index.html>


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