Explanation: This is a machine learning practical project (with data + code + documentation + video explanation), if you need data + code + documentation + video explanation, you can go directly to the end of the article Obtain. 1. Project background Genetic Algorithm (GA) was first proposed by John Holland in the United States […]
Tag: lightgbm
Python implements GA genetic algorithm to optimize LightGBM regression model (LGBMRegressor algorithm) project combat
Description: This is a machine learning practical project (with data + code + documentation + video explanation), if you need data + code + documentation + video explanation, you can go directly to the end of the article Obtain. 1. Project background Genetic Algorithm (GA) was first proposed by John Holland in the United States […]
lightGBM example – feature screening and scorecard model construction
The data still uses the data in this example, and the specific background is the same as above. Add model construction – use logistic regression to build models, lightGBM for feature screening For an introduction to the lightGBM model, please see this link: Integrated Learning – Boosting Algorithm: Brief Principles and Differences of Adaboost, GBDT, […]
Differences in CatBoost, LightGBM, XGBoost structure, practice, performance, etc.
Boosting algorithms are a class of machine learning algorithms that build a strong classifier by iteratively training a series of weak classifiers (usually decision trees). In each round of iterations, new classifiers are designed to correct the errors of previous rounds of classifiers, thereby gradually improving the overall classification performance. Despite the rise and popularity […]
Model building – use logistic regression to build models, lightGBM for feature screening
1. Model building process 1.1 Experimental Design The new model should be compared with the original plan, and it is proved by experiments, and special attention should be paid to the model and strategy cannot be adjusted at the same time. The general experimental design includes the following procedures: Question: After the business is stable, […]
Python implements PSO particle swarm optimization algorithm to optimize LightGBM classification model (LGBMClassifier algorithm) project combat
Explanation: This is a machine learning practical project (with data + code + documentation + video explanation). If you need data + code + documentation + video explanation, you can go directly to the end of the article to get it. 1.Project Background PSO is the English abbreviation of Particle Swarm Optimization (Particle Swarm Optimization), […]
Python implements PSO particle swarm optimization algorithm to optimize LightGBM regression model (LGBMRegressor algorithm) project combat
Explanation: This is a machine learning practical project (with data + code + documentation + video explanation). If you need data + code + documentation + video explanation, you can go directly to the end of the article to get it. 1.Project Background PSO is the English abbreviation of Particle Swarm Optimization (Particle Swarm Optimization), […]
Python implements ACO ant colony optimization algorithm to optimize LightGBM regression model (LGBMRegressor algorithm) project combat
Explanation: This is a machine learning practical project (with data + code + documentation + video explanation). If you need data + code + documentation + video explanation, you can go directly to the end of the article to get it. 1. Project background Ant Colony Optimization (ACO) is a new bionic evolutionary algorithm derived […]
Use the LightGBM model to predict credit data, and calculate AUC, KS, and PSI
In the credit prediction process of the Lightgbm model, the data requirements are as follows: 1. For non-standard data processing, such as special characters, etc., fill in missing values 2. The data does not need to be binned, and the variables can be categorical 3. Variable transformation 4. Allow outliers to exist Requirements for parameters: […]
Python implements ACO ant colony optimization algorithm to optimize LightGBM classification model (LGBMClassifier algorithm) project combat
Explanation: This is a machine learning practical project (with data + code + documentation + video explanation). If you need data + code + documentation + video explanation, you can go directly to the end of the article to get it. 1. Project background Ant Colony Optimization (ACO) is a new bionic evolutionary algorithm derived […]