KolmogorovArnold model(for combination of quantizedcontinuous inputs)Demo project code and dataThe dataset BANKCHURN.CSV is taken from Neural Designer web site. It contains 10,000 records of human decisions in terms of YES/NO to the bank offers. The input is combination of quantized and continuous parameters, shown below in a table:
The functions $\phi_{q,p}$ of KolmogorovArnold model were chosen according to input type either quantized or continuous. $$ f(x_1, x_2, x_3, ... , x_n) = \sum_{q=0}^{2n} \Phi_q\left(\sum_{p=1}^{n} \phi_{q,p}(x_{p})\right), $$The accuracy was measured by 10 fold crossvalidation. About 80% of all predictions were correct. It is slightly above the accuracy reported by Neural Designer (78.9%). 
