Evaluation: This paper evaluates the performance of the model on five real world datasets including Server Machine Dataset, Pooled Server Metrics, Soil Moisture Active Passive, and NeurIPS-TS (which itself consists of five different datasets). While one might be tempted to v...
2.2. Model Development and Performance Evaluation The extracted variables were firstly explored, with the significant ones then applied for the model development, to build accurate and timely yield prediction models. Different machine learning models were then compared and evaluated. Next, the best model...