Commit
•
ceb593d
1
Parent(s):
5d92b5b
Update README.md
Browse files
README.md
CHANGED
|
@@ -75,7 +75,8 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
|
|
| 75 |
## Dataset Structure and Instances
|
| 76 |
|
| 77 |
### Incidence Dataset Structure Description
|
| 78 |
-
|
|
|
|
| 79 |
- **Group_Indicator**: Categorical variable indicating the group to which the policyholder belongs.
|
| 80 |
- **Gender**: Categorical variable indicating the gender of the policyholder.
|
| 81 |
- **Issue_Age_Bucket**: Categorical variable denoting the age range when the policy was issued.
|
|
@@ -109,7 +110,7 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
|
|
| 109 |
- **Count_Unk**: Numeric variable indicating the count of claims with unknown categorization.
|
| 110 |
|
| 111 |
|
| 112 |
-
|
| 113 |
|
| 114 |
```
|
| 115 |
{'Group_Indicator': 'Individual',
|
|
@@ -145,12 +146,10 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
|
|
| 145 |
'Count_Unk': 0}
|
| 146 |
```
|
| 147 |
|
| 148 |
-
|
| 149 |
-
2. LTC Claim Termination
|
| 150 |
-
|
| 151 |
-
|
| 152 |
### Termination Dataset Structure Description
|
| 153 |
|
|
|
|
|
|
|
| 154 |
- **Gender**: Categorical variable indicating the gender of the policyholder.
|
| 155 |
- **Incurred_Age_Bucket**: Categorical variable denoting the age range when the claim was incurred.
|
| 156 |
- **Incurred_Year_Bucket**: Categorical variable indicating the year range when the claim was incurred.
|
|
@@ -165,7 +164,7 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
|
|
| 165 |
- **Benefit_Expiry**: Numeric variable indicating the number of terminations due to benefits reaching their expiration date.
|
| 166 |
- **Others_Terminations**: Numeric variable indicating the number of terminations due to other unspecified reasons.
|
| 167 |
|
| 168 |
-
|
| 169 |
|
| 170 |
```
|
| 171 |
{'Gender': 'Male',
|
|
|
|
| 75 |
## Dataset Structure and Instances
|
| 76 |
|
| 77 |
### Incidence Dataset Structure Description
|
| 78 |
+
|
| 79 |
+
1. LTC Claim Incidence
|
| 80 |
- **Group_Indicator**: Categorical variable indicating the group to which the policyholder belongs.
|
| 81 |
- **Gender**: Categorical variable indicating the gender of the policyholder.
|
| 82 |
- **Issue_Age_Bucket**: Categorical variable denoting the age range when the policy was issued.
|
|
|
|
| 110 |
- **Count_Unk**: Numeric variable indicating the count of claims with unknown categorization.
|
| 111 |
|
| 112 |
|
| 113 |
+
2. filtered_incidence instances
|
| 114 |
|
| 115 |
```
|
| 116 |
{'Group_Indicator': 'Individual',
|
|
|
|
| 146 |
'Count_Unk': 0}
|
| 147 |
```
|
| 148 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 149 |
### Termination Dataset Structure Description
|
| 150 |
|
| 151 |
+
1. LTC Claim Termination
|
| 152 |
+
|
| 153 |
- **Gender**: Categorical variable indicating the gender of the policyholder.
|
| 154 |
- **Incurred_Age_Bucket**: Categorical variable denoting the age range when the claim was incurred.
|
| 155 |
- **Incurred_Year_Bucket**: Categorical variable indicating the year range when the claim was incurred.
|
|
|
|
| 164 |
- **Benefit_Expiry**: Numeric variable indicating the number of terminations due to benefits reaching their expiration date.
|
| 165 |
- **Others_Terminations**: Numeric variable indicating the number of terminations due to other unspecified reasons.
|
| 166 |
|
| 167 |
+
2. filtered_termination instances
|
| 168 |
|
| 169 |
```
|
| 170 |
{'Gender': 'Male',
|