What Are the Steps to Utilize Scikit-learn in Catalysis Research?
Using scikit-learn in catalysis involves several steps:
Data Collection: Gather data from experimental results, literature, or simulations. Data Preprocessing: Clean and preprocess the data to handle missing values and scale features. Model Selection: Choose appropriate machine learning models based on the problem at hand. Training: Train the model using the dataset. Evaluation: Evaluate the model's performance using metrics like accuracy, precision, and recall. Prediction: Use the trained model to make predictions on new data.
