Update how-to-configure-auto-train.md

Author: ssalgadodev

articles/machine-learning/how-to-configure-auto-train.md

@@ -204,8 +204,7 @@ Classification | Regression | Time Series Forecasting
 [Extremely Randomized Trees](https://scikit-learn.org/stable/modules/ensemble.html#extremely-randomized-trees)* | [Extremely Randomized Trees](https://scikit-learn.org/stable/modules/ensemble.html#extremely-randomized-trees)* | [Extremely Randomized Trees](https://scikit-learn.org/stable/modules/ensemble.html#extremely-randomized-trees)*
 [Xgboost](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#xgboostclassifier----xgboostclassifier-)* |[Xgboost](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#xgboostregressor----xgboostregressor-)* | [Random Forest](https://scikit-learn.org/stable/modules/ensemble.html#random-forests)
 [Naive Bayes](https://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes)* | [Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)  | [ForecastTCN](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#tcnforecaster----tcnforecaster-)
-[Stochastic Gradient Descent (SGD)](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#sgdclassifier----sgd-)* || [Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#regression)
- || [Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#regression)
+[Stochastic Gradient Descent (SGD)](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#sgdclassifier----sgd-)* |[Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#regression) | [Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#regression)
 ||| [ExponentialSmoothing](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#exponentialsmoothing----exponentialsmoothing-)
 ||| SeasonalNaive
 ||| Average