The Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build, and works well for predictive modeling. The algorithm supports only discrete or discretized attributes, and it considers all the input attributes to be independent, given the predictable attribute.
The Microsoft Decision Trees algorithm is a classification algorithm that works well for predictive modeling. The algorithm ...
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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 ...
The Microsoft Time Series algorithm uses a combination of ARIMA analysis and linear regression based on decision trees to ...
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