QC Stats - Regression Model

[billtell]

Use a regression model to investigate the relationship between Library Type and Delta Reads

• Delta Reads = Total Reads - Targeted Reads

[billtell]

Steps for Fitting a Regression Model

• Understand the Data (EDA):

  Examine the data structure, identify the target variable, and understand the relationships between features and the target.

• Preprocess the Data:

  Handle missing values, encode categorical variables, and standardize or normalize numerical features.

• Feature Selection and Engineering:

  Select relevant features and create new features if necessary (e.g., interaction terms, polynomial terms).

• Split the Data:

  Split the data into training and test sets to evaluate model performance.

• Train the Model:

  Fit the model on the training data.

• Evaluate the Model:

  Use metrics like Mean Squared Error (MSE) and R² score to evaluate the model on the test data.

• Tune Hyperparameters:

  Use techniques like Grid Search or Random Search to find the best hyperparameters.

• Interpret the Model:

  Examine model coefficients, feature importances, and residuals to understand model performance and insights.