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Generate scatterplots for each dataset

1 次查看(过去 30 天)
Zuzanna
Zuzanna 2023-1-17
关闭: Rik 2023-1-18
Hi,
How can I perform such action:
Load the data into classification learner. Set the validation to 5-fold crossvalidation. Generate scatterplots for each dataset, write if the classes are linearly separable or not.
Could you help how to apply 3 scatterplots for A,B,C?
I made such code for each dataset:
% Data A
Class0=randn(100,2);
label_0=zeros(100,1);
Class1=0.5*randn(100,2)+3
label_1=ones(100,1)
data_a=[[Class0, label_0];[Class1, label_1]]
% Data B
Class0=randn(100,2);
label_0=zeros(100,1);
Class1=1*randn(100,2)+2
label_1=ones(100,1)
data_b=[[Class0, label_0];[Class1, label_1]]
% Data C
Class0=randn(100,2);
label_0=zeros(100,1);
Class1=2*randn(100,2)+1
label_1=ones(100,1)
data_c=[[Class0, label_0];[Class1, label_1]]

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