Building machine learning model

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An Van
An Van 2020-8-8
评论： keerthana pothula 2021-6-2
Hello,
I am having problem in creating machine learning model.
I try to use
fitcknn (), fitctree ()
to build a model.
However the fitcknn gives me some errors that I dont know how to fix.
Here is my code
load timefeat;
train = (time);
a = length(train);
timefeat_t=[];
for sg=1:a
timefeat_t=[timefeat_t, train{1,sg}];
Lengths_T(sg)=length(train{1,sg});
end
X=timefeat_t';
n_obs=size(timefeat_t,2);
y=cell(n_obs,1);
group1=sum(Lengths_T(1:1));
group2=group1+sum(Lengths_T(2:end));
y(1:group1)={'low speed'}; % Class 1 definition - Train
y(group1+1:group2)={'high speed'}; % Class 2 definition - Train
X_Train=X;
Y_Train=y;
T_Train=table(X,y);
Model2_1=fitcknn(T_Train.X,T_Train.y,...
'NumNeighbors',10,'Distance','cityblock');
Model2_2=fitctree(T_Train.X,T_Train.y);
I have included the data file "timefeat.mat"
Could anyone please check my code and help me understand what error did I make and how should i fix it?
Thank you
  1 个评论
keerthana pothula
keerthana pothula 2021-6-2
Machine Learning is a core component of Artificial Intelligence that includes how machines can analyze data, identify patterns and make decisions with low to no human intervention. With the ever-increasing demand for machine automated solutions ML has become one of the rapidly evolving technology along with AI & Data Science.
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采纳的回答

Nipun Katyal
Nipun Katyal 2020-8-12
Hi, as you have only two labels such a large number of neighbours are not required, Instead you can change the distance to 'cosine' and try shuffling the rows. You can find improved result using the configurations below,
Model2_1=fitcknn(T_Train.X,T_Train.y,...
'NumNeighbors',5,'Distance','cosine');

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