The issue classifier model has encountered challenges in achieving optimal accuracy for real-life applications due to the use of an artificially generated dataset during training.
To address this, an appropriate dataset for the caller desk use case needs to be created or identified. The subsequent step involves training the machine learning model using this refined dataset to enhance its performance in practical scenarios.
The issue classifier model has encountered challenges in achieving optimal accuracy for real-life applications due to the use of an artificially generated dataset during training.
To address this, an appropriate dataset for the caller desk use case needs to be created or identified. The subsequent step involves training the machine learning model using this refined dataset to enhance its performance in practical scenarios.