Homepage> Wholesale Transforming Toys One Key Rc on widesupplier
Current page:1 - Total 3 Page - Amount:115
When evaluating and validating the accuracy and stability of a credit analysis model, the following steps can be taken:
Data preparation: First ensure the quality and integrity of the data, including data cleaning, missing value processing, outlier processing, etc., to ensure the accuracy and stability of the model.
Model selection: Based on specific business needs and data characteristics, select appropriate credit analysis models, such as logistic regression, decision trees, random forests, etc.
Model training: Use historical data to train the selected model, and adjust model parameters based on cross-validation and other methods to improve the accuracy and generalization ability of the model.
Model evaluation: Use the test data set to evaluate the trained model. Commonly used evaluation indicators include accuracy, precision, recall, F1 value, etc. to evaluate the accuracy of the model.
Model verification: In order to verify the stability of the model, the Bootstrap method can be used for model verification. By sampling the data with replacement, multiple training sets and test sets are constructed to evaluate the performance of the model on different data sets. .
Model explanation: Interpret and visualize the results of the model, and understand the impact of different variables on credit scores, which helps to understand the internal logic of model predictions.
Model monitoring: Establish a model monitoring system to monitor and update the model regularly to ensure that the model maintains accuracy and stability in practical applications.
Through the above steps, the accuracy and stability of the credit analysis model can be comprehensively evaluated and verified, providing managers with a reliable basis for decision-making.
Widesupplier Official Email:[email protected] ©copyright reserved 2020-2023