Dataset Viewer
TableName
stringclasses 6
values | ColumnName
stringlengths 2
20
| Cardinality
int64 2
381k
| Dictionary
int64 0
10.7k
| HashIndex
int64 0
8.39M
| DataSize
int64 152
1.02M
| ModifiedTime
timestamp[ns] | StructureModifiedTime
timestamp[ns] |
---|---|---|---|---|---|---|---|
train
|
id
| 381,109 | 0 | 8,388,797 | 1,016,440 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Gender
| 2 | 163 | 0 | 16,568 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Age
| 66 | 304 | 0 | 168,056 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Driving_License
| 2 | 48 | 0 | 1,080 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Region_Code
| 53 | 252 | 0 | 112,880 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Previously_Insured
| 2 | 48 | 0 | 11,616 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Vehicle_Age
| 3 | 203 | 0 | 624 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Vehicle_Damage
| 2 | 153 | 0 | 11,800 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Annual_Premium
| 48,838 | 0 | 1,048,773 | 843,432 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Policy_Sales_Channel
| 155 | 660 | 0 | 14,064 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Vintage
| 290 | 1,200 | 0 | 435,704 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
train
|
Response
| 2 | 48 | 0 | 6,608 | 2022-10-11T11:41:09.210000 | 2022-10-11T11:41:09.210000 |
insurance
|
age
| 47 | 228 | 0 | 1,216 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
sex
| 2 | 163 | 0 | 312 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
bmi
| 548 | 0 | 8,429 | 2,824 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
children
| 6 | 64 | 0 | 168 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
smoker
| 2 | 153 | 0 | 152 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
region
| 4 | 235 | 0 | 432 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance
|
charges
| 1,337 | 10,736 | 0 | 2,288 | 2024-07-22T12:52:15.904000 | 2024-07-22T12:52:15.904000 |
insurance automl
|
Model
| 18 | 1,049 | 0 | 160 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
MAE
| 17 | 0 | 1,213 | 224 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
MSE
| 17 | 176 | 0 | 160 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
RMSE
| 17 | 0 | 1,213 | 224 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
R2
| 13 | 0 | 1,213 | 184 | 2024-07-24T15:16:04.779000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
RMSLE
| 16 | 0 | 1,213 | 184 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
MAPE
| 16 | 0 | 1,213 | 184 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance automl
|
TT (Sec)
| 12 | 0 | 1,213 | 168 | 2024-07-24T12:35:33.525000 | 2024-07-24T12:35:33.525000 |
insurance predictions
|
age
| 47 | 228 | 0 | 1,216 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
sex
| 2 | 163 | 0 | 312 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
bmi
| 548 | 0 | 8,429 | 2,824 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
children
| 6 | 64 | 0 | 168 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
smoker
| 2 | 153 | 0 | 152 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
region
| 4 | 235 | 0 | 432 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
charges
| 1,337 | 0 | 33,053 | 5,504 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance predictions
|
prediction_label
| 1,214 | 9,752 | 0 | 2,288 | 2024-07-24T15:45:03.369000 | 2024-07-24T15:45:03.369000 |
insurance test
|
age
| 47 | 0 | 1,213 | 360 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
sex
| 2 | 163 | 0 | 184 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
bmi
| 207 | 0 | 4,293 | 688 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
children
| 6 | 64 | 0 | 208 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
smoker
| 2 | 153 | 0 | 168 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
region
| 4 | 235 | 0 | 216 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
charges
| 268 | 2,184 | 0 | 456 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance test
|
Predicted_Charges
| 265 | 2,160 | 0 | 456 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
insurance train
|
age
| 47 | 228 | 0 | 1,008 | 2024-08-01T17:23:37.541000 | 2024-07-25T13:37:48.878000 |
insurance train
|
sex
| 2 | 163 | 0 | 280 | 2024-07-25T13:37:48.878000 | 2024-07-25T13:37:48.878000 |
insurance train
|
bmi
| 501 | 0 | 8,397 | 2,288 | 2024-08-01T17:22:55.971000 | 2024-07-25T13:37:48.878000 |
insurance train
|
children
| 6 | 64 | 0 | 160 | 2024-08-01T17:23:37.541000 | 2024-07-25T13:37:48.878000 |
insurance train
|
smoker
| 2 | 153 | 0 | 152 | 2024-07-25T13:37:48.878000 | 2024-07-25T13:37:48.878000 |
insurance train
|
region
| 4 | 235 | 0 | 416 | 2024-07-25T13:37:48.878000 | 2024-07-25T13:37:48.878000 |
insurance train
|
charges
| 1,069 | 8,592 | 0 | 1,864 | 2024-08-01T17:22:55.971000 | 2024-07-25T13:37:48.878000 |
insurance train
|
Predicted_Charges
| 1,010 | 8,120 | 0 | 1,576 | 2024-08-01T17:22:55.969000 | 2024-08-01T17:22:55.969000 |
DATA SOURCES
CREDITS
- Primary Parser: Hugoberry's PBIXRay
- Manual Parser (Troublesome Files): Didier Terrien's PowerBI SideTools
- CSV Extractor (Troublesome Files): Bravo by SQLBI
- Parquet Viewer (Check Parquet Outputs): Sal's ParquetViewer
573+574 removed due to pickle error.
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