How to split dataset into 2/3 for training and 1/3 for testing include plot the graph?

Question

NOR AZIERA 2023-1-15

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1894245-how-to-split-dataset-into-2-3-for-training-and-1-3-for-testing-include-plot-the-graph

编辑： Atsushi Ueno 2023-1-15

This is my coding...but i got error and cannot get the correct answer.

can you guy help me...Pleaseeeee

clear all, close all, clc
load hald;  % Load Portlant Cement dataset
A = ingredients;
b = heat;
N=13; %number of row
idx=1:13;
PD=2/3;
%split data for training and testing
Ptrain=idx(1:round(PD*N));Ttrain=idx(1:round(PD*N));
Ptest=idx(round(PD*N)+1:end,:);Ttest=idx(round(PD*N)+1:end,:);
dataPTrain=hald(Ptrain);
dataPTest=hald(Ptest);
[U,S,V] = svd(A,'econ');
x = V*inv(S)*U'*b;                    % Solve Ax=b using the SVD
plot(dataPTrain,'k','LineWidth',2);  hold on            % Plot data
plot(dataPTest,'r-o','LineWidth',1.,'MarkerSize',2); % Plot regression
l1 = legend('Heat data','Regression')
%% Alternative 1  (regress)
x = regress(b,A);
%% Alternative 2  (pinv)
x = pinv(A)*b;

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Answer 1

Sulaymon Eshkabilov 2023-1-15

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https://ww2.mathworks.cn/matlabcentral/answers/1894245-how-to-split-dataset-into-2-3-for-training-and-1-3-for-testing-include-plot-the-graph#answer_1148955

在 MATLAB Online 中打开

You should use random partition of your total data set, e.g.:

rng("default"); % For reproducibility
n = length(X);  %   
C = cvpartition(n, "HoldOut", 65);   % 65% for training and the remaining 35% for testing
INDEXtrain = training(C,1);
INDEXtest = ~ INDEXtrain;
X_test = X(INDEXtest,:);   
Y_test = Y(INDEXtest,:);
X_train = X(INDEXtrain,:); 
Y_train = Y(INDEXtrain,:);