To improve the performance of a machine learning model, you can try several techniques, such as:
Increasing the size of the training dataset,
Optimizing the hyperparameters of the model,
Feature engineering to create more relevant features,
Regularization techniques to reduce overfitting,
Using more advanced algorithms,
Ensemble methods, and
Improving data quality by cleaning and preprocessing the data.