[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

Internet 2023-08-19 18:07:55 views: null

[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

1. Model Principle
- 1.1 Mathematical model
- 1.2 Model principle
2. Model parameters
3. File structure
4. Excel data
5. Download address
6. Complete code
7. Running results

1. Model Principle

Support Vector Machine (SVM) is a supervised learning algorithm for classification and regression. Its basic idea is to find a hyperplane that can maximize the classification interval (Margin) in the feature space, so that different categories of The sample is correctly classified. The following is the explanation of the mathematical model and model principle of SVM:

1.1 Mathematical model

Suppose we have a training data set, containing

Guess you like

Origin blog.csdn.net/Gyangxixi/article/details/132280622

[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on decision tree algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on logistic regression algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on the most central classifier algorithm (Excel can directly replace the data)

[Sklearn] Data classification prediction based on random forest algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

[Matlab] Data classification prediction based on long short-term memory network (Excel can directly replace data)

[Matlab] Based on the particle swarm optimization algorithm to optimize the data regression prediction of BP neural network (Excel can directly replace the data)

[Sklearn] Data classification prediction based on multilayer perceptron algorithm (Excel can directly replace data)

Classification prediction | Matlab implements multi-input classification prediction based on LFDA-SVM local Fisher discriminant data dimensionality reduction combined with support vector machine

[Matlab] Based on the particle swarm optimization algorithm to optimize the time series forecast of BP neural network (Excel can directly replace the data)

Universal algorithm (1): model fitting and prediction of support vector machine svm in the case of arbitrary csv and dat data

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

Multivariate classification prediction | Matlab optimizes convolutional neural network-support vector machine (CNN-SVM) classification prediction based on NGO-CNN-SVM Northern Goshawk Algorithm (NGO)

Classification prediction | MATLAB implements WOA whale algorithm synchronous optimization feature selection combined with support vector machine classification prediction

Classification prediction | MATLAB implements WOA-FS-SVM whale algorithm synchronous optimization feature selection combined with support vector machine classification prediction

Classification prediction | Matlab implements NGO-CNN-SVM northern goshawk algorithm optimization convolution support vector machine classification prediction

Classification prediction | MATLAB implements multi-input classification prediction based on SVM-Adaboost support vector machine combined with AdaBoost

Industrial output prediction based on machine learning SVM knn logistic regression, AdaBoost, xgboost, lightgbm complete code data can be run directly

Support vector machine (SVM) algorithm classification practice

[Lssvm prediction model] based on bat algorithm improved least squares support vector machine lssvm prediction [Matlab 109] [prediction model 7]

[Lssvm prediction] Based on the improved least squares support vector machine lssvm prediction of moth extinguishing algorithm [Matlab 110] [prediction model 8]

Processing classification data based on Sklearn

Least Multiplier Support Vector Machine (LSSVM) prediction and Matlab implementation based on improved bat algorithm

Least Multiplier Support Vector Machine (LS-SVM) prediction based on improved moth to flame algorithm

Arm Vascular Image Classification Based on Support Vector Machine SVM, Image Classification Based on Support Vector Machine

[Lssvm prediction] Improved least squares support vector machine lssvm prediction based on matlab moth extinguishing algorithm [with Matlab source code 142]

Classification prediction | Matlab implements CNN-GSSVM convolutional neural network combined with grid search algorithm to optimize support vector machine multi-feature classification prediction

Recommended

Ranking

error: (-215:Assertion failed) !_img.empty() in function ‘cv::imwrite‘

Database migration between Navicat servers

Minimum number of rotation of the array: Array

balenaEtcher for mac (make a boot disk software) v1.5.67

Custom processing serialization and deserialization in jackson

Mu-en-mask system development software

Mastering Regular Expressions

Find mileage Java--

Web pages can not directly concern the public micro-channel number how to do? A key to arouse public concern number of micro-channel solutions

[CodeForces - 739B] Alyona and a tree Tree + [difference] + bipartite

Daily

More

2024-05-12(28)

2024-05-11(32)

2024-05-10(34)

2024-05-09(32)

2024-05-08(18)

2024-05-07(34)

2024-05-06(6)

2024-05-05(0)

2024-05-04(18)

2024-05-03(8)