· Builds better models than most existing tools on the market
· Effective treatment of multi-collinearity (highly correlated variables)
· Builds stable and robust models
· Predict binary and continuous outcomes
· Seamlessly mixes character, continuous, and numeric type variables
· Requires minimal pre-treatment of data
· Automatically handles missing values
· Automatically identifies the appropriate variable transformations
· Intuitive interface
· Logical process - consistent with industry standard modeling processes
· Fast learning curve
· Not a black box - models are easy to interpret and easy to communicate to clients
· Provides visual representations of predictive patterns
· Lower cost than most competitors
We believe your data can work harder for you. At Infodecipher, our goal is to help you achieve rapid, trustworthy insights from your data.
Our products help you create powerful and robust models in a short amount of time, whether you're highly experienced or new to predictive modeling.
Gains# (gains-sharp) is a statistical modeling tool designed to build powerful models while uncovering hidden patterns in your data. Gains# eliminates time-consuming variable transformation and pre-processing by automatically identifying smooth, flexible, and interpretable relationships between the target variable and the predictors.
The groundbreaking technology behind Gains# uses a unique combination of GAM (Generalized Additive Models) and Kernel Density Classification techniques, combined with robust variable selection techniques and industry standard model evaluation criteria.
Gains# is a practical tool built by people with extensive modeling experience in the credit and marketing industries. It handles everyday data issues such as multicollinearity, missing values, and outliers seamlessly. Gains# has an easy-to-use graphical user interface and provides the interpretable output that you can explain to your clients.
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