A unified training data set comprising approximately 2.1 million data points from multiple MOFs was created using the AL process. A Multilayer Perceptron (MLP) model was trained using TensorFlow . The selected model configuration included 500 epochs a batch size of 128, and a learning rate of 0.00001. The MLP architecture featured an input layer followed by three hidden layers, each employing Leaky ReLU 50 activation functions.