In TensorFlow Quantum (TFQ), the process of reading out the results from a quantum computation is a important step, especially when dealing with quantum machine learning models like binary classifiers. Two primary methods for readout in TFQ models are using repetitions and expectation values as readout operators. Understanding the key differences between these methods is