Stone Analytics' proprietary Automatic Analyst™ technology automates most of the modeling process, enabling users with little statistical experience to perform sophisticated analysis quickly and easily. Data exploration and preprocessing, which typically takes 60 to 80% of an analyst's time during the modeling process, is handled automatically. At the touch of a button, Automatic Analyst scans an entire data set and automatically
- Distinguishes between continuous numeric variables such as income and age, and categorical variables such as gender and marital status.
- Handles problem data, such as missing values and outliers.
- Partitions the data into random test and train subsets, to protect against sample bias in the data.
- Standardizes and removes redundant variables.
- Identifies variables with the most predictive value.
- Uses these variables to build a statistical model that optimizes the decision you are about to make.
Automatic Analyst technology is employed in varying degrees by the three modeling modes offered in Decision Science products. Designed for statistical novices, the AutoBuild mode takes full advantage of Automatic Analyst, providing complete predictive modeling at the push of a button.
The more interactive SemiAutomatic mode, also known as Stepwise, enables users to choose a set of predictor variables for initial consideration, and also to designate variables that must be included in the model. Automatic Analyst handles pre-processing, selects the subset of variables with the greatest predictive value, and builds the model.
In the Manual Build mode, Automatic Analyst manages pre-processing and model creation. The user selects the set of predictor variables on which the model will be based, with Automatic Analyst providing additional insight into variable importance. Both the SemiAutomatic and the Manual Build modes allow users to include in their models insight drawn from their own experience and domain expertise.
Automatic Analyst handles the grunge work, so that regardless of your statistical experience you can now gain the analytic advantage.
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