Predictive Modeling Solution for Business

Raise Forecast Accuracy with Powerful Predictive Modeling Software

Predictive Modeling Software, Methods and Techniques

Predictive modeling pursues the goal of building a plausible mathematical model that would not only describe certain process or object, but would also give a reliable prediction. Predictive modeling is important in financial and marketing analysis, business forecasting, forex and stock market, demand prediction and so on.

One of possible methods to carry out predictive modeling is group method of data handling, or shortly GMDH. And GMDH Shell software applies greatly improved GMDH method for predictive modeling. The principles of GMDH method were improved and implemented in the program. Unlike the classic group method of data handling developed back in 1960s, the advanced version developed by our specialists operates faster and gives more accurate prediction thanks to gradually complicating models approach.

The approximation of the given historical data starts with simpler models and gets gradually more and more complicated if the historical values don’t fit the model within the specified threshold. If a certain model gives bad prediction, the program applies more complex approximation procedures – linear, polynomial, Gaussian etc – and tests every new model against previously gathered data values until the model giving the most precise forecasting is found. Such process in conjunction with effective multi-threading computation provides especially high performance on multi-core or multi-CPU systems.

For instance, GMDH Shell builds a predictive high-precision model based on a 200k rows dataset in merely 37 seconds – a result hardly achievable with competing solutions. And unlike many math oriented software GMDH Shell is delightfully easy to use thanks to predefined analysis templates and overall transparency of the user interface.

All in all, GMDH Shell is perfect for predictive modeling, time series analysis, curve fitting and other forecasting and historical data analysis tasks. The combination of powerful mathematical algorithm inside and clear intuitive interface allows to build an accurate predictive model with little efforts.


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Benefits of GMDH Shell for Data Science

  • Determines model structure automatically
  • Drevents overfitting and works well with very small data sets
  • Is fast even with 1,000 input variables
  • Provides forecasting, classification, regression and clustering tools in one package

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