Generate scatterplots for each dataset

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]]