Imputation Configuration
Example Input
[
{
"age": 25,
"income": 50000,
"education": "bachelor",
"satisfaction": null
},
{
"age": 35,
"income": null,
"education": "master",
"satisfaction": 8
},
{
"age": 45,
"income": 75000,
"education": null,
"satisfaction": 7
}
]Imputation Methods:
- Mean: Replace missing values with the average (numeric fields)
- Median: Replace missing values with the middle value (numeric fields)
- Mode: Replace missing values with the most common value (categorical fields)
- K-Nearest Neighbors: Use similar records to estimate missing values
- Linear Regression: Predict missing values using other fields (numeric fields)