% Attribute 17: (qualitative)% 	      Job% 	      A171 : unemployed/ unskilled  - non-resident% 	      A172 : unskilled - resident% 	      A173 : skilled employee / official% 	      A174 : management/ self-employed/% 		     highly qualified employee/ officer% % Attribute 18: (numerical)% 	      Number of people being liable to provide maintenance for% % Attribute 19: (qualitative)% 	      Telephone% 	      A191 : none% 	      A192 : yes, registered under the customers name% % Attribute 20: (qualitative)% 	      foreign worker% 	      A201 : yes% 	      A202 : no% % % % 8.  Cost Matrix% % This dataset requires use of a cost matrix (see below)% % %       1        2% ----------------------------%   1   0        1% -----------------------%   2   5        0% % (1 = Good,  2 = Bad)% % the rows represent the actual classification and the columns% the predicted classification.% % It is worse to class a customer as good when they are bad (5), % than it is to class a customer as bad when they are good (1).% %%%%% Relabeled values in attribute checking_status%    From: A11                     To: '<0'                %    From: A12                     To: '0<=X<200'          %    From: A13                     To: '>=200'             %    From: A14                     To: 'no checking'       %%% Relabeled values in attribute credit_history%    From: A30                     To: 'no credits/all paid'%    From: A31                     To: 'all paid'          %    From: A32                     To: 'existing paid'     %    From: A33                     To: 'delayed previously'%    From: A34                     To: 'critical/other existing credit'%%% Relabeled values in attribute purpose%    From: A40                     To: 'new car'           %    From: A41                     To: 'used car'          %    From: A42                     To: furniture/equipment %    From: A43                     To: radio/tv            %    From: A44                     To: 'domestic appliance'%    From: A45                     To: repairs             %    From: A46                     To: education           %    From: A47                     To: vacation            %    From: A48                     To: retraining          %    From: A49                     To: business            %    From: A410                    To: other               %%% Relabeled values in attribute savings_status%    From: A61                     To: '<100'              %    From: A62                     To: '100<=X<500'        %    From: A63                     To: '500<=X<1000'       %    From: A64                     To: '>=1000'            %    From: A65                     To: 'no known savings'  %%% Relabeled values in attribute employment%    From: A71                     To: unemployed          %    From: A72                     To: '<1'                %    From: A73                     To: '1<=X<4'            %    From: A74                     To: '4<=X<7'            %    From: A75                     To: '>=7'               %%% Relabeled values in attribute personal_status%    From: A91                     To: 'male div/sep'      %    From: A92                     To: 'female div/dep/mar'%    From: A93                     To: 'male single'       %    From: A94                     To: 'male mar/wid'      %    From: A95                     To: 'female single'     %%% Relabeled values in attribute other_parties%    From: A101                    To: none                %    From: A102                    To: 'co applicant'      %    From: A103                    To: guarantor           %%% Relabeled values in attribute property_magnitude%    From: A121                    To: 'real estate'       %    From: A122                    To: 'life insurance'    %    From: A123                    To: car                 %    From: A124                    To: 'no known property' %%% Relabeled values in attribute other_payment_plans%    From: A141                    To: bank                %    From: A142                    To: stores              %    From: A143                    To: none                %%% Relabeled values in attribute housing%    From: A151                    To: rent                %    From: A152                    To: own                 %    From: A153                    To: 'for free'          %%% Relabeled values in attribute job%    From: A171                    To: 'unemp/unskilled non res'%    From: A172                    To: 'unskilled resident'%    From: A173                    To: skilled             %    From: A174                    To: 'high qualif/self emp/mgmt'%%% Relabeled values in attribute own_telephone%    From: A191                    To: none