Formatting input data for linear regression model in leave-out-one validation testing
Hello there I have data from 10 trials stored in a 10×1 cell (Predictors) and the corespoding respose vairables stored in a 10×1 cell (Response). I am trying to trian a simple linear regression model and make predictions by leaving one trial out and using the other 9 trials to train the linear regression model and the one to predict/test the model by producing RMSE values. I am unsure of how to format my input within the "fitlm" function as I keep getting the follwing error:
% Train the network
for i = 1:length(Predictors) %iterate over all data points
validationdataX = Predictors(i);
validationdataY = Response(i);
%Exclude the current index (i) for training
trainingIndices = setdiff(1:length(Predictors),i);
traningdataX = Predictors(trainingIndices)
trainingdataY = Response(trainingIndices)
net = fitlm(traningdataX,trainingdataY)
ypred = predict(net,validationdataX);
TrueVal = validationdataY;
TrueValue = cell2mat(TrueVal);
Predvalue = {Predval};
PredictedValue = cell2mat(Predvalue);
RMSE = rmse(PredictedValue,TrueValue)
end
Error using classreg.regr.TermsRegression/handleDataArgs (line 589)
Predictor variables must be numeric vectors, numeric matrices, or categorical vectors.
Error in LinearModel.fit (line 1000)
[X,y,haveDataset,otherArgs] = LinearModel.handleDataArgs(X,paramNames,varargin{:});
Error in fitlm (line 134)
model = LinearModel.fit(X,varargin{:});
Any suggestions on how to fix this and to get the model to work correcly and make predictions using leave out one validation approach would be greatly appreciated!Hello there I have data from 10 trials stored in a 10×1 cell (Predictors) and the corespoding respose vairables stored in a 10×1 cell (Response). I am trying to trian a simple linear regression model and make predictions by leaving one trial out and using the other 9 trials to train the linear regression model and the one to predict/test the model by producing RMSE values. I am unsure of how to format my input within the "fitlm" function as I keep getting the follwing error:
% Train the network
for i = 1:length(Predictors) %iterate over all data points
validationdataX = Predictors(i);
validationdataY = Response(i);
%Exclude the current index (i) for training
trainingIndices = setdiff(1:length(Predictors),i);
traningdataX = Predictors(trainingIndices)
trainingdataY = Response(trainingIndices)
net = fitlm(traningdataX,trainingdataY)
ypred = predict(net,validationdataX);
TrueVal = validationdataY;
TrueValue = cell2mat(TrueVal);
Predvalue = {Predval};
PredictedValue = cell2mat(Predvalue);
RMSE = rmse(PredictedValue,TrueValue)
end
Error using classreg.regr.TermsRegression/handleDataArgs (line 589)
Predictor variables must be numeric vectors, numeric matrices, or categorical vectors.
Error in LinearModel.fit (line 1000)
[X,y,haveDataset,otherArgs] = LinearModel.handleDataArgs(X,paramNames,varargin{:});
Error in fitlm (line 134)
model = LinearModel.fit(X,varargin{:});
Any suggestions on how to fix this and to get the model to work correcly and make predictions using leave out one validation approach would be greatly appreciated! Hello there I have data from 10 trials stored in a 10×1 cell (Predictors) and the corespoding respose vairables stored in a 10×1 cell (Response). I am trying to trian a simple linear regression model and make predictions by leaving one trial out and using the other 9 trials to train the linear regression model and the one to predict/test the model by producing RMSE values. I am unsure of how to format my input within the "fitlm" function as I keep getting the follwing error:
% Train the network
for i = 1:length(Predictors) %iterate over all data points
validationdataX = Predictors(i);
validationdataY = Response(i);
%Exclude the current index (i) for training
trainingIndices = setdiff(1:length(Predictors),i);
traningdataX = Predictors(trainingIndices)
trainingdataY = Response(trainingIndices)
net = fitlm(traningdataX,trainingdataY)
ypred = predict(net,validationdataX);
TrueVal = validationdataY;
TrueValue = cell2mat(TrueVal);
Predvalue = {Predval};
PredictedValue = cell2mat(Predvalue);
RMSE = rmse(PredictedValue,TrueValue)
end
Error using classreg.regr.TermsRegression/handleDataArgs (line 589)
Predictor variables must be numeric vectors, numeric matrices, or categorical vectors.
Error in LinearModel.fit (line 1000)
[X,y,haveDataset,otherArgs] = LinearModel.handleDataArgs(X,paramNames,varargin{:});
Error in fitlm (line 134)
model = LinearModel.fit(X,varargin{:});
Any suggestions on how to fix this and to get the model to work correcly and make predictions using leave out one validation approach would be greatly appreciated! linear regression, input data formatting, validation MATLAB Answers — New Questions
