aflah/autotrain-data-Engage

---
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---
# AutoTrain Dataset for project: Engage

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project Engage.

### 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
[
{
"feat_km_driven": 0.0296548632976001,
"feat_seats": 0.4166666666666666,
"feat_how_old": 0.1923076923076923,
"feat_EngineCC": 0.5218120805369127,
"feat_mileage_conv": 0.3666666666666666,
"feat_torque_conv": 0.3509308849783218,
"feat_max_power_conv": 0.2374727668845316,
"feat_Automatic": 0.0,
"feat_Manual": 1.0,
"feat_First Owner": 1.0,
"feat_Fourth & Above Owner": 0.0,
"feat_Second Owner": 0.0,
"feat_Test Drive Car": 0.0,
"feat_Third Owner": 0.0,
"feat_Dealer": 0.0,
"feat_Individual": 1.0,
"feat_Trustmark Dealer": 0.0,
"feat_CNG": 0.0,
"feat_Diesel": 1.0,
"feat_LPG": 0.0,
"feat_Petrol": 0.0,
"target": 715000.0
},
{
"feat_km_driven": 0.0338913328611081,
"feat_seats": 0.2499999999999999,
"feat_how_old": 0.4615384615384616,
"feat_EngineCC": 0.0577181208053691,
"feat_mileage_conv": 0.469047619047619,
"feat_torque_conv": 0.0729405763835756,
"feat_max_power_conv": 0.0367647058823529,
"feat_Automatic": 0.0,
"feat_Manual": 1.0,
"feat_First Owner": 0.0,
"feat_Fourth & Above Owner": 0.0,
"feat_Second Owner": 1.0,
"feat_Test Drive Car": 0.0,
"feat_Third Owner": 0.0,
"feat_Dealer": 0.0,
"feat_Individual": 1.0,
"feat_Trustmark Dealer": 0.0,
"feat_CNG": 0.0,
"feat_Diesel": 0.0,
"feat_LPG": 0.0,
"feat_Petrol": 1.0,
"target": 110000.0
}
]
```

### Dataset Fields

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

```json
{
"feat_km_driven": "Value(dtype='float64', id=None)",
"feat_seats": "Value(dtype='float64', id=None)",
"feat_how_old": "Value(dtype='float64', id=None)",
"feat_EngineCC": "Value(dtype='float64', id=None)",
"feat_mileage_conv": "Value(dtype='float64', id=None)",
"feat_torque_conv": "Value(dtype='float64', id=None)",
"feat_max_power_conv": "Value(dtype='float64', id=None)",
"feat_Automatic": "Value(dtype='float64', id=None)",
"feat_Manual": "Value(dtype='float64', id=None)",
"feat_First Owner": "Value(dtype='float64', id=None)",
"feat_Fourth & Above Owner": "Value(dtype='float64', id=None)",
"feat_Second Owner": "Value(dtype='float64', id=None)",
"feat_Test Drive Car": "Value(dtype='float64', id=None)",
"feat_Third Owner": "Value(dtype='float64', id=None)",
"feat_Dealer": "Value(dtype='float64', id=None)",
"feat_Individual": "Value(dtype='float64', id=None)",
"feat_Trustmark Dealer": "Value(dtype='float64', id=None)",
"feat_CNG": "Value(dtype='float64', id=None)",
"feat_Diesel": "Value(dtype='float64', id=None)",
"feat_LPG": "Value(dtype='float64', id=None)",
"feat_Petrol": "Value(dtype='float64', id=None)",
"target": "Value(dtype='float32', 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 | 7115 |
| valid | 791 |

原始信息汇总

AutoTrain Dataset for project: Engage

数据集描述

该数据集由AutoTrain自动处理，用于Engage项目。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下所示：

json [ { "feat_km_driven": 0.0296548632976001, "feat_seats": 0.4166666666666666, "feat_how_old": 0.1923076923076923, "feat_EngineCC": 0.5218120805369127, "feat_mileage_conv": 0.3666666666666666, "feat_torque_conv": 0.3509308849783218, "feat_max_power_conv": 0.2374727668845316, "feat_Automatic": 0.0, "feat_Manual": 1.0, "feat_First Owner": 1.0, "feat_Fourth & Above Owner": 0.0, "feat_Second Owner": 0.0, "feat_Test Drive Car": 0.0, "feat_Third Owner": 0.0, "feat_Dealer": 0.0, "feat_Individual": 1.0, "feat_Trustmark Dealer": 0.0, "feat_CNG": 0.0, "feat_Diesel": 1.0, "feat_LPG": 0.0, "feat_Petrol": 0.0, "target": 715000.0 }, { "feat_km_driven": 0.0338913328611081, "feat_seats": 0.2499999999999999, "feat_how_old": 0.4615384615384616, "feat_EngineCC": 0.0577181208053691, "feat_mileage_conv": 0.469047619047619, "feat_torque_conv": 0.0729405763835756, "feat_max_power_conv": 0.0367647058823529, "feat_Automatic": 0.0, "feat_Manual": 1.0, "feat_First Owner": 0.0, "feat_Fourth & Above Owner": 0.0, "feat_Second Owner": 1.0, "feat_Test Drive Car": 0.0, "feat_Third Owner": 0.0, "feat_Dealer": 0.0, "feat_Individual": 1.0, "feat_Trustmark Dealer": 0.0, "feat_CNG": 0.0, "feat_Diesel": 0.0, "feat_LPG": 0.0, "feat_Petrol": 1.0, "target": 110000.0 } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "feat_km_driven": "Value(dtype=float64, id=None)", "feat_seats": "Value(dtype=float64, id=None)", "feat_how_old": "Value(dtype=float64, id=None)", "feat_EngineCC": "Value(dtype=float64, id=None)", "feat_mileage_conv": "Value(dtype=float64, id=None)", "feat_torque_conv": "Value(dtype=float64, id=None)", "feat_max_power_conv": "Value(dtype=float64, id=None)", "feat_Automatic": "Value(dtype=float64, id=None)", "feat_Manual": "Value(dtype=float64, id=None)", "feat_First Owner": "Value(dtype=float64, id=None)", "feat_Fourth & Above Owner": "Value(dtype=float64, id=None)", "feat_Second Owner": "Value(dtype=float64, id=None)", "feat_Test Drive Car": "Value(dtype=float64, id=None)", "feat_Third Owner": "Value(dtype=float64, id=None)", "feat_Dealer": "Value(dtype=float64, id=None)", "feat_Individual": "Value(dtype=float64, id=None)", "feat_Trustmark Dealer": "Value(dtype=float64, id=None)", "feat_CNG": "Value(dtype=float64, id=None)", "feat_Diesel": "Value(dtype=float64, id=None)", "feat_LPG": "Value(dtype=float64, id=None)", "feat_Petrol": "Value(dtype=float64, id=None)", "target": "Value(dtype=float32, id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	7115
valid	791