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{
"name": "Apple Quality",
"source": "https://www.kaggle.com/datasets/nelgiriyewithana/apple-quality/data",
"data_intro": "This dataset contains information about various attributes of a set of fruits, providing insights into their characteristics. The dataset includes details such as fruit ID, size, weight, sweetness, crunchiness, juiciness, ripeness, acidity, and quality.",
"is_splited": false,
"overall_size": 4000,
"train_size": 0,
"test_size": 0,
"c_classes": 2,
"n_classes": 7,
"task_type": "classification",
"target": {
"Quality": "Build a model to predict the quality rating of fruits using various attributes."
},
"cat_feature_intro": {
"Acidity": "- Acidity: Acidity level of the fruit",
"Quality": "- Quality: Overall quality of the fruit."
},
"num_feature_intro": {
"A_id": "- A_id: Unique identifier for each fruit",
"Size": "- Size: Size of the fruit",
"Weight": "- Weight: Weight of the fruit",
"Sweetness": "- Sweetness: Degree of sweetness of the fruit",
"Crunchiness": "- Crunchiness: Texture indicating the crunchiness of the fruit",
"Juiciness": "- Juiciness: Level of juiciness of the fruit",
"Ripeness": "- Ripeness: Stage of ripeness of the fruit"
},
"evaluation_metric": null,
"num_feature_value": {
"A_id": [
0.0,
3999.0
],
"Crunchiness": [
-6.055057805,
7.619851801
],
"Juiciness": [
-5.961897048,
7.364402864
],
"Ripeness": [
-5.864598918,
7.237836684
],
"Size": [
-7.151703059,
6.406366899
],
"Sweetness": [
-6.894485494,
6.374915513
],
"Weight": [
-7.149847675,
5.79071359
]
},
"cat_feature_value": {
"Acidity": "string",
"Quality": [
"bad",
"good"
]
}
}