width_cm float64 | length_cm float64 | blemish_count int64 | color string | firmness int64 | sample_id string |
|---|---|---|---|---|---|
2.3 | 2.5 | 4 | red | 1 | SYN_0000 |
2.3 | 2.5 | 4 | red | 1 | SYN_0001 |
2.1 | 2.1 | 2 | red | 2 | SYN_0002 |
1.7 | 1.6 | 1 | red | 1 | SYN_0003 |
2 | 2.3 | 5 | red | 1 | SYN_0004 |
2 | 2.3 | 5 | red | 1 | SYN_0005 |
2.3 | 2.5 | 4 | red | 1 | SYN_0006 |
2.1 | 2.2 | 2 | red | 2 | SYN_0007 |
2.2 | 2.4 | 0 | green | 3 | SYN_0008 |
2 | 2.5 | 3 | green | 2 | SYN_0009 |
2 | 2.5 | 2 | green | 3 | SYN_0010 |
1.7 | 2.5 | 3 | red | 1 | SYN_0011 |
2.4 | 2.8 | 1 | red | 3 | SYN_0012 |
2.2 | 2.4 | 0 | green | 3 | SYN_0013 |
2.3 | 2.6 | 3 | red | 1 | SYN_0014 |
2.4 | 2.4 | 4 | green | 1 | SYN_0015 |
2.3 | 2.5 | 2 | green | 3 | SYN_0016 |
2.2 | 2.3 | 0 | red | 2 | SYN_0017 |
2.3 | 2.6 | 3 | red | 1 | SYN_0018 |
2.2 | 2.7 | 0 | red | 2 | SYN_0019 |
2.4 | 2.7 | 4 | red | 1 | SYN_0020 |
2.3 | 2.7 | 3 | red | 2 | SYN_0021 |
2.2 | 2.4 | 0 | red | 2 | SYN_0022 |
2.2 | 2.5 | 0 | green | 3 | SYN_0023 |
2.4 | 2.8 | 1 | red | 3 | SYN_0024 |
2.5 | 2.7 | 5 | green | 2 | SYN_0025 |
2.2 | 2.6 | 4 | red | 3 | SYN_0026 |
2.2 | 2.4 | 5 | green | 3 | SYN_0027 |
2.3 | 2.7 | 3 | red | 2 | SYN_0028 |
2.3 | 2.5 | 4 | red | 1 | SYN_0029 |
2.2 | 2.4 | 0 | red | 2 | SYN_0030 |
2.5 | 2.7 | 5 | green | 2 | SYN_0031 |
2 | 2.5 | 4 | green | 2 | SYN_0032 |
2.2 | 2.7 | 1 | green | 2 | SYN_0033 |
2.3 | 2.4 | 4 | red | 1 | SYN_0034 |
2.4 | 2.8 | 1 | red | 3 | SYN_0035 |
2.2 | 2.4 | 0 | green | 3 | SYN_0036 |
2.2 | 2.7 | 1 | green | 2 | SYN_0037 |
2 | 2.5 | 4 | green | 2 | SYN_0038 |
2 | 2.3 | 5 | red | 1 | SYN_0039 |
2.4 | 2.7 | 4 | red | 1 | SYN_0040 |
2.3 | 2.6 | 4 | green | 2 | SYN_0041 |
2.2 | 2.4 | 0 | red | 2 | SYN_0042 |
2.2 | 2.4 | 0 | green | 3 | SYN_0043 |
2.2 | 2.4 | 0 | red | 2 | SYN_0044 |
2.4 | 2.4 | 1 | green | 3 | SYN_0045 |
1.9 | 2.1 | 2 | red | 1 | SYN_0046 |
2.2 | 2.7 | 1 | green | 2 | SYN_0047 |
2.3 | 2.4 | 2 | green | 3 | SYN_0048 |
2.3 | 2.6 | 6 | green | 2 | SYN_0049 |
2.5 | 2.8 | 3 | green | 3 | SYN_0050 |
2.4 | 2.7 | 4 | red | 1 | SYN_0051 |
2.1 | 2.2 | 2 | red | 2 | SYN_0052 |
2.3 | 2.7 | 2 | green | 2 | SYN_0053 |
2.3 | 2.6 | 6 | green | 2 | SYN_0054 |
2.2 | 2.4 | 5 | green | 3 | SYN_0055 |
2.5 | 2.8 | 3 | green | 3 | SYN_0056 |
2.2 | 2.4 | 0 | red | 2 | SYN_0057 |
2.3 | 2.6 | 6 | green | 2 | SYN_0058 |
1.7 | 2.5 | 3 | red | 1 | SYN_0059 |
2.1 | 2.1 | 2 | red | 2 | SYN_0060 |
2.3 | 2.6 | 6 | green | 2 | SYN_0061 |
2.2 | 2.4 | 5 | green | 3 | SYN_0062 |
2.2 | 2.4 | 2 | red | 1 | SYN_0063 |
2.3 | 2.4 | 4 | red | 1 | SYN_0064 |
2.2 | 2.5 | 2 | red | 3 | SYN_0065 |
2.2 | 2.7 | 2 | green | 3 | SYN_0066 |
2.3 | 2.5 | 4 | red | 1 | SYN_0067 |
2.2 | 2.4 | 0 | green | 3 | SYN_0068 |
2.2 | 2.3 | 0 | red | 2 | SYN_0069 |
2.2 | 2.4 | 0 | red | 2 | SYN_0070 |
2.2 | 2.4 | 5 | green | 3 | SYN_0071 |
2.1 | 2.4 | 3 | green | 3 | SYN_0072 |
2.2 | 2.4 | 0 | red | 2 | SYN_0073 |
2.5 | 2.9 | 1 | red | 3 | SYN_0074 |
2.3 | 2.4 | 2 | green | 3 | SYN_0075 |
2.5 | 2.8 | 4 | red | 1 | SYN_0076 |
2.5 | 2.7 | 5 | green | 2 | SYN_0077 |
2.2 | 2.3 | 0 | red | 2 | SYN_0078 |
2.3 | 2.7 | 3 | red | 2 | SYN_0079 |
2.3 | 2.6 | 4 | green | 2 | SYN_0080 |
2.3 | 2.5 | 4 | red | 1 | SYN_0081 |
2.4 | 2.4 | 4 | green | 1 | SYN_0082 |
2.5 | 2.7 | 5 | green | 2 | SYN_0083 |
2.1 | 2.1 | 2 | red | 2 | SYN_0084 |
2.3 | 2.6 | 3 | red | 1 | SYN_0085 |
2 | 2.5 | 4 | green | 2 | SYN_0086 |
2.1 | 2.4 | 3 | green | 3 | SYN_0087 |
2.2 | 2.7 | 2 | green | 3 | SYN_0088 |
2 | 2.3 | 5 | red | 1 | SYN_0089 |
2.2 | 2.7 | 1 | green | 2 | SYN_0090 |
2.3 | 2.7 | 2 | green | 2 | SYN_0091 |
2 | 2.5 | 3 | green | 2 | SYN_0092 |
2 | 2.5 | 3 | green | 2 | SYN_0093 |
2 | 2.5 | 4 | green | 2 | SYN_0094 |
2 | 2.3 | 5 | red | 1 | SYN_0095 |
2.3 | 2.6 | 4 | green | 2 | SYN_0096 |
2.5 | 2.8 | 4 | red | 1 | SYN_0097 |
2 | 2.5 | 4 | green | 2 | SYN_0098 |
2.3 | 2.6 | 3 | red | 1 | SYN_0099 |
End of preview. Expand
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Dataset Card for Grape Firmness Dataset
Dataset Metadata
- Purpose: The dataset is intended for training a machine learning model to predict grape firmness based on physical characteristics and blemishes.
- Composition: The dataset contains measurements of grape width, length, blemish count, color, and firmness.
- Collection Method: Data was collected manually through physical measurements and visual inspection of grape samples.
- Labels: The target variable "firmness" is a categorical label with three levels: 1 (Soft), 2 (Medium), and 3 (Firm).
- Splits:
original: Contains the initial 30 rows of collected data.augmented: Contains 300 augmented rows generated using SMOTE-NC and numeric jitter to address class imbalance and increase dataset size.
Exploratory Data Analysis (EDA) - Original Data
Here are some visualizations showing the distribution of firmness and the relationship between physical characteristics and firmness in the original dataset.
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Number of rows:
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