Step 83 Time series modeling practice: Catboost regression modeling

64-bit system demonstration based on WIN10 1. Write in front In this issue, we introduce the return of Catboost. Again, using this data here: Demonstration of public data from a 2015 article in “PLoS One” entitled “Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China”. […]

[Error resolution] CatBoostError: Bad value for num feature[non default doc idx=0,feature idx=19]=

1. Project scenario: baseline uses CatBoost to achieve prediction. [AI for Science] Quantum Chemistry: Molecular Property Prediction-First Check-in-Machine Learning Baseline [AI for Science] Quantum Chemistry: Molecular Property Prediction – Second Check-in – Feature Engineering Baseline Score 2. Problem description: Original code: # Import the numpy library for numerical calculations import numpy as np #Import the […]

Python implements SSA intelligent sparrow search algorithm to optimize Catboost classification model (CatBoostClassifier algorithm) project practice

Note: This is a practical machine learning project (comes with data + code + document + video explanation). If you need data + code + document + video explanation, you can go directly to the end of the article. Obtain. 1. Project background The Sparrow Search Algorithm (SSA) is a new type of swarm intelligence […]

Python implements SSA intelligent sparrow search algorithm to optimize Catboost regression model (CatBoostRegressor algorithm) project practice

Note: This is a practical machine learning project (comes with data + code + document + video explanation). If you need data + code + document + video explanation, you can go directly to the end of the article. Obtain. 1. Project background The Sparrow Search Algorithm (SSA) is a new type of swarm intelligence […]

Python implements GA genetic algorithm to optimize Catboost classification model (CatBoostClassifier algorithm) project actual 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 […]

Python implements GA genetic algorithm to optimize Catboost regression model (CatBoostRegressor algorithm) project actual 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 […]

Python implements HBA hybrid bat intelligent algorithm to optimize Catboost regression model (CatBoostRegressor 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.< strong>Project Background The bat algorithm is a heuristic search algorithm proposed by Professor […]

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 […]

Python implements HBA hybrid bat intelligent algorithm to optimize Catboost classification model (CatBoostClassifier 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.< strong>Project Background The bat algorithm is a heuristic search algorithm proposed by Professor […]

Multi-classification complete code example using CatBoost and SHAP

CatBoost is one of the top machine learning models. With its gradient boosting technique and built-in functions, it is possible to generate some really good models without much work. SHAP (SHapley Additive exPlanation) is designed to explain the output of machine learning models with unique visual and performance value. CatBoost and SHAP together form a […]