#Random selection of the initial guess values
def RandomSearch(Iterations):

    nIt=Iterations
    GuessContainer=[]
    ErrorContainer=[]
    for k in range(nIt):
        lGuess=[np.random.uniform(low=0,high=1) for val in range(4)]
        lerror=SquaredError(lGuess)
        GuessContainer.append(lGuess) #Contains the list of random initial values
        ErrorContainer.append(lerror) #List of the errors
    minError=np.min(ErrorContainer) #Min error value
    minLocation=[j for j in range(nIt) if ErrorContainer[j]==minError] #Returns the location of the min value in the list
    bestGuess=GuessContainer[minLocation[0]] #Best initial value guess

    return ErrorContainer,bestGuess