region:us
---
{}

---
# AutoTrain Dataset for project: tatanic-survival

## Dataset Description

This dataset has been automatically processed by AutoTrain for project tatanic-survival.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "id": 297,
    "target": 0,
    "feat_Pclass": 3,
    "feat_Name": "Hanna, Mr. Mansour",
    "feat_Sex": "male",
    "feat_Age": 23.5,
    "feat_SibSp": 0,
    "feat_Parch": 0,
    "feat_Ticket": "2693",
    "feat_Fare": 7.2292,
    "feat_Cabin": null,
    "feat_Embarked": "C"
  },
  {
    "id": 4,
    "target": 1,
    "feat_Pclass": 1,
    "feat_Name": "Futrelle, Mrs. Jacques Heath (Lily May Peel)",
    "feat_Sex": "female",
    "feat_Age": 35.0,
    "feat_SibSp": 1,
    "feat_Parch": 0,
    "feat_Ticket": "113803",
    "feat_Fare": 53.1,
    "feat_Cabin": "C123",
    "feat_Embarked": "S"
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "id": "Value(dtype='int64', id=None)",
  "target": "ClassLabel(names=['0', '1'], id=None)",
  "feat_Pclass": "Value(dtype='int64', id=None)",
  "feat_Name": "Value(dtype='string', id=None)",
  "feat_Sex": "Value(dtype='string', id=None)",
  "feat_Age": "Value(dtype='float64', id=None)",
  "feat_SibSp": "Value(dtype='int64', id=None)",
  "feat_Parch": "Value(dtype='int64', id=None)",
  "feat_Ticket": "Value(dtype='string', id=None)",
  "feat_Fare": "Value(dtype='float64', id=None)",
  "feat_Cabin": "Value(dtype='string', id=None)",
  "feat_Embarked": "Value(dtype='string', id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name   | Num samples         |
| ------------ | ------------------- |
| train        | 712 |
| valid        | 179 |
