Task: Compute Precision, Recall, Accuracy, and F1-Score for Multiclass Classification with Imbalanced Data
Task: Compute Precision, Recall, Accuracy, and F1-Score for Multiclass Classification with Imbalanced Data: a task in Terminal-Lego-15k (Harbor dataset). Write a Python script that demonstrates how to correctly compute precision, recall, accuracy, and F1-score for a multiclass classification…
The task
Write a Python script that demonstrates how to correctly compute precision, recall, accuracy, and F1-score for a multiclass classification problem with imbalanced data using scikit-learn. The script must handle the `average` parameter properly to avoid deprecation warnings and produce correct metrics for all…
Part of PrimeIntellect/Terminal-Lego-15k.