| {} | |
| # AutoTrain Dataset for project: foreign-exchange-idr-usd | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project foreign-exchange-idr-usd. | |
| ### 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": 279, | |
| "feat_Nilai": 1, | |
| "target": 14149.0, | |
| "feat_Kurs Beli": 14009.0, | |
| "feat_Tanggal": "2/22/2019 0:00" | |
| }, | |
| { | |
| "id": 356, | |
| "feat_Nilai": 1, | |
| "target": 14245.0, | |
| "feat_Kurs Beli": 14103.0, | |
| "feat_Tanggal": "6/26/2019 0:00" | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "id": "Value(dtype='int64', id=None)", | |
| "feat_Nilai": "Value(dtype='int64', id=None)", | |
| "target": "Value(dtype='float32', id=None)", | |
| "feat_Kurs Beli": "Value(dtype='float64', id=None)", | |
| "feat_Tanggal": "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 | 1046 | | |
| | valid | 266 | | |