vyver7952/autotrain-foreign-exchange-idr-usd-50442120505
Tabular Regression
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Updated
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2
Error code: UnexpectedError
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
null |
---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | a1a72102954f9db6 | [
"feat_Kurs Beli",
"feat_Nilai",
"feat_Tanggal",
"id",
"target"
] | {} | null | false | null |
This dataset has been automatically processed by AutoTrain for project foreign-exchange-idr-usd.
The BCP-47 code for the dataset's language is unk.
A sample from this dataset looks as follows:
[
{
"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"
}
]
The dataset has the following fields (also called "features"):
{
"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)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 1046 |
valid | 266 |