# svmnode properties #

![SVM node icon](https://dataplatform.cloud.ibm.com/docs/content/wsd/nodes/scripting_guide/clementine/images/svm_icon.png)The Support Vector Machine (SVM) node enables you to classify data into one of two groups without overfitting\. SVM works well with wide data sets, such as those with a very large number of input fields\.

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svmnode properties  

Table 1\. svmnode properties

| `svmnode` Properties              | Values                                                                         | Property description                                                         |
| --------------------------------- | ------------------------------------------------------------------------------ | ---------------------------------------------------------------------------- |
| `all_probabilities`               | *flag*                                                                         |                                                                              |
| `stopping_criteria`               | `1.0E-1`  <br>`1.0E-2`  <br>`1.0E-3`  <br>`1.0E-4`  <br>`1.0E-5`  <br>`1.0E-6` | Determines when to stop the optimization algorithm\.                         |
| `regularization`                  | *number*                                                                       | Also known as the C parameter\.                                              |
| `precision`                       | *number*                                                                       | Used only if measurement level of target field is `Continuous`\.             |
| `kernel`                          | `RBF`  <br>`Polynomial`  <br>`Sigmoid`  <br>`Linear`                           | Type of kernel function used for the transformation\. `RBF` is the default\. |
| `rbf_gamma`                       | *number*                                                                       | Used only if `kernel` is `RBF`\.                                             |
| `gamma`                           | *number*                                                                       | Used only if `kernel` is `Polynomial` or `Sigmoid`\.                         |
| `bias`                            | *number*                                                                       |                                                                              |
| `degree`                          | *number*                                                                       | Used only if `kernel` is `Polynomial`\.                                      |
| `calculate_variable_importance`   | *flag*                                                                         |                                                                              |
| `calculate_raw_propensities`      | *flag*                                                                         |                                                                              |
| `calculate_adjusted_propensities` | *flag*                                                                         |                                                                              |
| `adjusted_propensity_partition`   | `Test`  <br>`Validation`                                                       |                                                                              |

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