You are splitting up your data by rows, implying that each row is a sample and that the number of features is the one fewer than the number of columns, with the last column being the class.
That is fine as far as it goes, but when you train, the features must go down columns, not across rows.
sequenceInputLayer(119)
That says that you have 119 features, but you do not: you have extracted 119 samples.
You need to transpose, like
XTest = Testing(:,1:n-1) .';
and you need to use
sequenceInputLayer(NumberOfFeatures)
Now, when you use sequenceInputLayer, what you have to pass in as training data is a cell array. The number of entries in the cell array must match the number of entries in the targets you pass in. Each individual cell entry must be an array in which the number of rows is the same as the number of features, and the number of columns is the same as the number of time steps for the sequence -- so each row corresponds to all the time steps for one particular feature.
It is not clear to me that you really do have sequence data.
