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README.md

@@ -1,72 +1,74 @@
 ---
 dataset_info:
   features:
-  - name: duration in months
-    dtype: int64
-  - name: credit amount
-    dtype: int64
-  - name: age
-    dtype: int64
   - name: status of existing checking account_0 to less than 200 DM
-    dtype: float64
+    dtype: int64
   - name: status of existing checking account_200 DM or more
-    dtype: float64
+    dtype: int64
   - name: status of existing checking account_less than 0 DM
-    dtype: float64
+    dtype: int64
   - name: status of existing checking account_no checking account
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_for business
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_for education
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_for other reasons
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_for repairs
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_for retraining
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_to buy a new car
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_to buy a radio or television
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_to buy a used car
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_to buy domestic appliances
-    dtype: float64
+    dtype: int64
   - name: purpose of credit_to buy furniture or equipment
-    dtype: float64
+    dtype: int64
   - name: sex_male
-    dtype: float64
+    dtype: int64
   - name: housing_owned
-    dtype: float64
+    dtype: int64
   - name: housing_provided for free
-    dtype: float64
+    dtype: int64
   - name: housing_rented
-    dtype: float64
+    dtype: int64
   - name: job status_manager, self-employed, or highly qualified
-    dtype: float64
+    dtype: int64
   - name: job status_skilled worker or official
-    dtype: float64
+    dtype: int64
   - name: job status_unemployed or unskilled (non-resident)
-    dtype: float64
+    dtype: int64
   - name: job status_unskilled worker (resident)
-    dtype: float64
+    dtype: int64
   - name: marital status_divorced / separated
-    dtype: float64
+    dtype: int64
   - name: marital status_divorced / separated / married
-    dtype: float64
+    dtype: int64
   - name: marital status_married / widowed
-    dtype: float64
+    dtype: int64
   - name: marital status_single
-    dtype: float64
-  - name: label
+    dtype: int64
+  - name: duration in months
+    dtype: int64
+  - name: credit amount
+    dtype: int64
+  - name: age
+    dtype: int64
+  - name: credit worthiness
+    dtype: int64
+  - name: __index_level_0__
     dtype: int64
   splits:
   - name: train
-    num_bytes: 336000
-    num_examples: 1400
-  download_size: 0
-  dataset_size: 336000
+    num_bytes: 124000
+    num_examples: 500
+  download_size: 29336
+  dataset_size: 124000
 configs:
 - config_name: default
   data_files: