Prediction method and system based on forest discrimination model

A forecasting method and forecasting system technology, applied in forecasting, data processing applications, computing, etc., can solve the problems of low degree of automation, time-consuming, high degree of dependence on analyst experience, improve efficiency and model accuracy, reduce screening Variable time, the effect of lowering the threshold of modeling

Active Publication Date: 2014-07-23
SHANGHAI ANDITAI INFORMATION TECH
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Problems solved by technology

[0012] At present, data analysts have two main problems in the variable binning process: one is the low degree of automation, which takes a lot of time, and the binning results are highly dependent on the analyst's experience, which is not conducive to obtaining good binning results. Mature technical guarantee; second, the varia

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  • Prediction method and system based on forest discrimination model
  • Prediction method and system based on forest discrimination model
  • Prediction method and system based on forest discrimination model

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Embodiment Construction

[0065] Specific embodiments of the present invention are given below, and the present invention is described in detail in conjunction with the accompanying drawings.

[0066] Figure 1A It is a flow chart of the prediction method based on the forest discrimination model of the present invention. Such as Figure 1A As shown, the method includes:

[0067] Step 1, using modeling data to perform modeling based on the random forest algorithm, binning the modeling data, and solving the discriminative model to obtain the modeling result;

[0068] Step 2: Scoring the data to be predicted according to the established model and the modeling results to obtain a prediction result.

[0069] Further, the step 1 includes:

[0070] Step 11, binning the modeling data based on the random forest algorithm to obtain a binning result;

[0071] Step 12, converting the variables of the modeling data into dummy variables according to the binning results, and using the dummy variables to solve th...

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Abstract

The invention discloses a prediction method and system based on a forest discrimination model. The method includes the steps that first, based on a random forest algorithm, modeling is performed through modeling data, the modeling data are binned, and the modeling result is obtained through solution of the discrimination model; second, according to the established model and the modeling result, data to be predicted are graded, and the prediction result is obtained. Through the prediction method and system based on the forest discrimination model, a simple, extended and well-founded binning method can be provided, evaluation of data is simplified, a good binning result can be obtained with the method while an advanced operational theory does not need to be mastered, and thus a prediction result with good effect is obtained. The modeling efficiency and the precision of the model are improved to a large extent.

Description

technical field [0001] The invention relates to the technical field of scorecard modeling, in particular to a prediction method and system based on a forest discrimination model. Background technique [0002] The scorecard is a statistics-based analysis tool, which can predict the probability of a specific result in the future by analyzing the phenomenon that has occurred, based on historical data and various related factors. The basis of the analysis is a series of interrelated factors, variables, predictive values ​​or independent variables of the regression equation that describe the historical data, which we call predictor variables. A specific outcome to be predicted is called the target variable. Scorecard modeling technology is based on the scorecard to establish a mapping relationship between predictor variables and target variables. This mapping relationship is the scorecard model. The commonly used model methods of the scorecard model include linear regression, l...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 郑茂林徐春香宁庆庆戴霞吕尽轩裴晓景王静张明昊李胜涛曾祥洪
Owner SHANGHAI ANDITAI INFORMATION TECH
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