The Microsoft Linear Regression algorithm is a regression algorithm that works well for regression modeling. This algorithm is a particular configuration of the Microsoft Decision Trees algorithm, obtained by disabling splits (the whole regression formula is built in a single root node). The algorithm supports the prediction of continuous attributes.
The Microsoft Data Classification and Recommendation Service detects the categories of data you've inserted in your Excel ...
The Microsoft Data Classification and Recommendation Service is not enabled, not finished categorizing your data or could ...
The Microsoft Decision Trees algorithm is a classification algorithm that works well for predictive modeling. The algorithm ...
The Microsoft Exchange Autodiscover Service isn't configured to use https to encrypt the authentication credentials. Please ...
The Microsoft Linear Regression algorithm is a regression algorithm that works well for regression modeling. This algorithm ...
The Microsoft Logistic Regression algorithm is a regression algorithm that works well for regression modeling. This algorithm ...
The Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build, and works well for predictive modeling. ...
The Microsoft Neural Network algorithm uses a gradient method to optimize parameters of multilayer networks to predict multiple ...
The Microsoft Sequence Clustering algorithm is a combination of sequence analysis and clustering, which identifies clusters ...