Build a model on the data using the below hyperparameters The number of neurons in the first, second, third, and fourth layers should be 128,64,64 and 32 respectively. Use ReLu as an Activation function in Input and Hidden layers Adam as Optimizer with 1e-3 as learning rate Build the model on 200 Epochs with batch_size=128 What is the accuracy of the model on the training data? Note Do not use stratify sampling and Callbacks. The given dataset is scaled, so please don't scale the data again.

Build a model on the data using the below hyperparameters The number of neurons in the first, second, third, and fourth layers should be 128,64,64 and 32 respectively. Use ReLu as an Activation function in Input and Hidden layers Adam as Optimizer with 1e-3 as learning rate Build the model on 200 Epochs with batch_size=128 What is the accuracy of the model on the training data? Note Do not use stratify sampling and Callbacks. The given dataset is scaled, so please don't scale the data again.