Models
Existing machine learning models built at Aropha, mainly covering biodegradation of organic contaminant in aquatic environment. New models are continuously added.
Aerobic biodegradation in water
Aerobic biodegradation -- regression
Predicts continuous biodegradation percentages in 28 days of incubation, based on more than 4,000 data points considering ready biodegradation in water. Multiple standard guidelines were included such as OECD 301 and EU method C.
Aerobic biodegradation in water
Aerobic biodegradation -- classification
Predicts if an organic contaminant is readily biodegradable (pass 60% of degradation in 28 days), based on more than 3,000 data points considering ready biodegradation in water. Data covers multiple standard guidelines and test principles.
Datasets
The datasets used for the development of above models
Sample Python Code
The example python code (in JupyterNotebook) for using the model files.
Tools
Useful frameworks/libraries used for the development of these models