svm – SyntaxBug

Practical data analysis | SVM algorithm – automatic diagnosis and analysis of cases

Table of Contents 1. Data analysis and objects 2. Purpose and analysis tasks 3. Methods and Tools 4. Data reading 5. Data understanding 6. Data preparation 7. Model training 8. Model application and evaluation 1. Data analysis and objects CSV file – “bc_data.csv” Dataset link: https://download.csdn.net/download/m0_70452407/88524905 This data set mainly records 32 attributes of 569 […]

[CEEMDAN-SMA-LSSVM] Optimizing the least squares support vector machine CEEMDAN-SMA-LSSVM power and wind speed prediction based on CEEMD combined with the slime algorithm with matlab implementation

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

Regression prediction | Optimizing the least squares support vector machine CEEMDAN-SMA-LSSVM power and wind speed prediction based on CEEMD combined with the slime algorithm with matlab implementation

[Wind speed prediction] Optimizing the least squares support vector machine CEEMDAN-SMA-LSSVM power wind speed prediction based on CEEMD combined with the slime algorithm with matlab code

Xigua Shushu’s prediction of TSVM on the UCI data set and comparison with SVM

My WeChat public account: Mr. Shuangmu who keeps working hard Although I don’t update it very much, I will share something when I have the opportunity to discuss the philosophy of the world and life. This is a big assignment for the basic machine learning course in the first semester of my senior year, which […]

How to choose the best [kernel function] in SVM

The parameter “kernel” has the following options in sklearn: Next, we will use an example to explore the performance of kernel functions on different data sets. We now have a series of linearly or nonlinearly separable data, and we hope to observe the effect of the kernel function by plotting the decision boundaries of SVC […]

Linear [SVM] mathematical principles and algorithm implementation

1. Mathematical Principles SVM is a type of supervised classification algorithm. Its general idea is: Assume that there are two types of points in the sample space, as shown in the figure below. We hope to find a dividing hyperplane to separate these two types of samples. We hope that this interval can Maximize to […]

Based on the snow melt optimization algorithm SAO published in June 2023, the LSSVM is optimized for single-input single-output time series fitting prediction modeling.

Algorithm for efficient outlier processing: automated solution for One-class SVM model

1. Introduction Data cleaning and outlier handling play a key role in data analysis and machine learning tasks. Cleaning data improves data quality and eliminates noise and errors, ensuring the accuracy and reliability of subsequent analysis and modeling. Outliers may have a serious impact on data analysis results, leading to misleading conclusions and decisions. Therefore, […]

Research on support vector machine SVM regression prediction based on five-fold cross validation with Matlab code

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]