soumikmahato/plant-health-points-synthetic
Synthetic Plant Health Points A deterministic, fully synthetic tabular dataset for learning ML/deep learning workflows such as MLP regression and classification. It is not appropriate for scientific conclusions, production agronomy, or plant-care decisions. Splits train.csv: 2,000 rows test.csv: 500 rows Columns Column Meaning plant_type Plant species/type habitat Growing context season Seasonal category air_humidity_pct /… See the full description on the dataset page: https://huggingface.co/datasets/soumikmahato/plant-health-points-synthetic.
Synthetic Plant Health Points
A deterministic, fully synthetic tabular dataset for learning ML/deep learning workflows such as MLP regression and classification. It is not appropriate for scientific conclusions, production agronomy, or plant-care decisions.
Splits
- train.csv: 2,000 rows
- test.csv: 500 rows
Columns
Use healthscore for regression, or healthclass for classification. Do not train on both labels as features.
Generation
Records use broad, simulated plant-specific target ranges with random variation and a deterministic seed. health_score was generated from the listed sensor values, so it is intentionally learnable for educational models.