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Various techniques applied for the prediction of bankruptcy- Generalized Linear Regression- Logistic, Classification Tree, Generalized Additive Model, Linear Discriminant Analysis and Neural Networks. Evaluation criteria used was misclassifcation errors.

R 100.00%
generalized-linear-models linear-discriminant-analysis logistic-regression neural-network

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machine-learning-on-bankruptcy's Issues

Error with neural network?

Hey,

I am new to R and doing research on bankruptcy prediction. Whenever I try to run
prob.nnet = predict(bank.nnet, bank.test)
I receive the following mistake:
Error in model.frame.default(Terms, newdata, na.action = na.omit, xlev = object$xlevels) :
factor CUSIP has new levels 00036110, 00078110, 00079X10, 00086T10, 00088630, 00088U10, 00089310, 00089N10, 00095510, 00095710, 00097310, 00100410, 00100T10, 00103110, 00105810, 00108410, 00120410, 00130H10, 00132010, 00143T10, 00154710, 00162710, 00162H10, 00163010, 00163U10, 00167K50, 00171210, 00178510, 00178W10, 00191240, 00193020, 00193710, 00194010, 00202410, 00202J20, 00203R10, 00205830, 00206210, 00206P10, 00206R10, 00207110, 00207R10, 00208310, 00208L10, 00209C10, 00209G20, 00211W10, 00234610, 00245810, 00246W10, 00253994, 00253U10, 00256410, 00256710, 00282410, 00289620, 00292220, 00365410, 00368710, 00370910, 00371F20, 00374N10, 00383010, 00387030, 00388130, 00388N10, 00391010, 00430420, 00430U10, 00431530, 00431910, 00431M30, 00437710, 00437W10, 00440410, 00440P10, 00443E10, 00450D20, 00463110, 00472410, 00481610, 00484810, 00491110, 00493410, 00504X20, 00509L70, 00512510, 00650P30, 00651F10, 00674330, 00675410, 00685420, 00685Q10, 00687R10, 00709410, 00709P10, 007

Does anyone know what the issue is here?

Best, Emily

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