Train SVM on MATLAB | Support Vector Machine Binary Classification Problem

[@saimaraza2061]

Sir, you have saved my life.....Lots of prayers for you and your family growth .....Stay happy always ..No words to say thankyou sir

[@saimaraza2061]

@@trevorouma1411 I have collected data by inducing emotion among participants

[@AbdulRafay-lx4jz]

clear all;
clc;
%% Prepare the dataset
x = banknotes(:, 1:4);
y = banknotes(:,5);
rand = randperm(1372);
xtr = x(rand(1:1100), :);
ytr = y(rand(1:1100), :);
xt = x(rand(1101:end), :);
yt = y(rand(1101:end), :);
%% Training the model
model = fitcsvm(xtr, ytr, 'KernelFunction', 'rbf', ...
'OptimizeHyperparameters', 'auto', ...
'HyperparameterOptimizationOptions', struct('AcquisitionFunctionName', ...
'expected-improvement-plus', 'ShowPlots', true));
%% Test the model
result = predict(model, xt);
accuracy = sum(result == yt)/length(yt)*100;
sp = sprintf("Test Accuracy = %.2f", accuracy);
disp(sp);

[@glenmason4788]

Good simple video, thankyou although would be a better to follow without the background music. Also would be good to show input of unseen data from manual input

[@PandiyanM22PHD064]

can you share the video regarding bearing fault classification using CNN in MATLAB sir

[@Tactical_Ninja0806]

I just wanted to know how to get that Objective function model

[@martinsallai9923]

Thank you very much it was really helpful for my thesis!

[@microcontrollersexplained6551]

it's a pleasure

[@mutiarahmadini7388]

nice video sir. and what if we use a data testing from another set data? can you explain me how to do this? thanks alot sir

[@rishikkayadav6800]

how can be clasiffiyethe multiclass classification using SVM

[@khalidkhaled8471]

Thanks sir, i'm working on eye detection tumor can you help me to use this code in my project please ?!

[@sravanikadagala3595]

sir can you plz provide the simulation diagram

[@osry]

Please Im new here. Im working on a project on Using ATLAB (using machine learning for predictive maintenance .) Could you share the code? I have joined the Telegram group

[@joshuaiyasu9427]

Wow! helpful Video.
I joined to your telegram group and I couldn't get the code. can you share me the code please?

[@AbdulRafay-lx4jz]

clear all;
clc;
%% Prepare the dataset
x = banknotes(:, 1:4);
y = banknotes(:,5);
rand = randperm(1372);
xtr = x(rand(1:1100), :);
ytr = y(rand(1:1100), :);
xt = x(rand(1101:end), :);
yt = y(rand(1101:end), :);
%% Training the model
model = fitcsvm(xtr, ytr, 'KernelFunction', 'rbf', ...
'OptimizeHyperparameters', 'auto', ...
'HyperparameterOptimizationOptions', struct('AcquisitionFunctionName', ...
'expected-improvement-plus', 'ShowPlots', true));
%% Test the model
result = predict(model, xt);
accuracy = sum(result == yt)/length(yt)*100;
sp = sprintf("Test Accuracy = %.2f", accuracy);
disp(sp);

[@joshuaiyasu9427]

Thank you