Unnamed: 0,gender,checking_status,duration,credit_history,purpose,credit_amount,savings_status,employment,installment_commitment,other_parties,residence_since,property_magnitude,age,other_payment_plans,housing,existing_credits,job,num_dependents,own_telephone,foreign_worker,class,great,list,text,html,latex,json,LIFT
0,male,'<0',60,'delayed previously',business,6836,'<100','>=7',3,none,4,'no known property',63,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 60, credit_history is 'delayed previously', purpose is business, credit_amount is 6836, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 63, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 60
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 6836
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 60. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 6836. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>60</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>6836</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 60 & 'delayed previously' & business & 6836 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 63 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'<0'"", 'credit_amount': 6836, 'credit_history': ""'delayed previously'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 6836 credits for 60 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
3,female,'no checking',21,'no credits/all paid','new car',5003,'no known savings','1<=X<4',1,none,4,'life insurance',29,bank,own,2,skilled,1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 21, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 5003, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 29, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 5003
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 21. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 5003. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>5003</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 21 & 'no credits/all paid' & 'new car' & 5003 & 'no known savings' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 29 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 5003, 'credit_history': ""'no credits/all paid'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 29-year-old female German Foreigner is applying for a loan of 5003 credits for 21 months for new car purposes. She has no checking account and no known savings. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
1,male,'>=200',21,'critical/other existing credit',education,2319,'<100','<1',2,none,1,car,33,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '>=200', duration is 21, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 2319, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 33, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 2319
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 2319. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>2319</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 21 & 'critical/other existing credit' & education & 2319 & '<100' & '<1' & 2 & none & 1 & car & 33 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'>=200'"", 'credit_amount': 2319, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2319 credits for 21 months for education purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
4,female,'no checking',12,'existing paid',radio/tv,886,'no known savings','1<=X<4',4,none,2,car,21,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 886, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 21, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 886
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 21
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 886. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 21. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>886</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>21</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & radio/tv & 886 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 21 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 886, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 21-year-old female German Foreigner is applying for a loan of 886 credits for 12 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
2,male,'no checking',6,'existing paid','used car',1236,'500<=X<1000','1<=X<4',2,none,4,'life insurance',50,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is 'used car', credit_amount is 1236, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 50, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 1236
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 50
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 1236. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 50. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>1236</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>50</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & 'used car' & 1236 & '500<=X<1000' & '1<=X<4' & 2 & none & 4 & 'life insurance' & 50 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 1236, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 50-year-old male German Foreigner is applying for a loan of 1236 credits for 6 months for used car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
5,female,'<0',24,'existing paid','new car',1442,'<100','4<=X<7',4,none,4,car,23,none,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1442, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1442
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1442. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1442</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1442 & '<100' & '4<=X<7' & 4 & none & 4 & car & 23 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1442, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1442 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
6,male,'no checking',6,'existing paid',furniture/equipment,2978,'500<=X<1000','1<=X<4',1,none,2,car,32,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2978, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2978
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2978. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2978</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & furniture/equipment & 2978 & '500<=X<1000' & '1<=X<4' & 1 & none & 2 & car & 32 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2978, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 32-year-old male German Foreigner is applying for a loan of 2978 credits for 6 months for furniture or equipment purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
11,female,'0<=X<200',36,'existing paid',radio/tv,4795,'<100','<1',4,none,1,'no known property',30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 4795, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 4795
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 4795. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>4795</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'existing paid' & radio/tv & 4795 & '<100' & '<1' & 4 & none & 1 & 'no known property' & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4795, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 4795 credits for 36 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
7,male,'<0',24,'existing paid',furniture/equipment,2359,'100<=X<500',unemployed,1,none,1,'life insurance',33,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2359, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2359
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2359. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2359</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 2359 & '100<=X<500' & unemployed & 1 & none & 1 & 'life insurance' & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 2359, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 33-year-old male German Foreigner is applying for a loan of 2359 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
15,female,'no checking',18,'critical/other existing credit',education,1864,'100<=X<500','1<=X<4',4,none,2,'real estate',30,none,own,2,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1864, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1864
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1864. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1864</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & education & 1864 & '100<=X<500' & '1<=X<4' & 4 & none & 2 & 'real estate' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1864, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 30-year-old female German Foreigner is applying for a loan of 1864 credits for 18 months for education purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.