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language | tags | pretty_name | size_categories | task_categories | configs | license |
---|---|---|---|---|---|---|
[en] | [student performance tabular_classification multiclass_classification UCI] | Diamond | [10K<n<100K] | [tabular-classification] | [encoding cut cut_binary] | cc |
The Diamonds dataset from Kaggle. Dataset collecting properties of cut diamonds to determine the cut quality.
Configuration | Task | Description |
---|---|---|
encoding | Encoding dictionary showing original values of encoded features. | |
cut | Multiclass classification | Predict the cut quality of the diamond. |
cut_binary | Binary classification | Is the cut quality at least very good? |
from datasets import load_dataset
dataset = load_dataset("mstz/diamonds", "cut")["train"]
Feature | Description |
---|---|
carat |
float32 |
color |
string |
clarity |
float32 |
depth |
float32 |
table |
float32 |
price |
float32 |
observation_point_on_axis_x |
float32 |
observation_point_on_axis_y |
float32 |
observation_point_on_axis_z |
float32 |
cut |
int8 |
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