Write a Python program to train the model and use the following multilayer ANN to predict the output for class Die_Live:

• Die_Live1:1, 0
• Die_Live2:0, 1

The set of data is fromhttp://archive.ics.uci.edu/ml/datasets/Hepatitis.

Number of Instances: 155

Number of Attributes: 20 (including the class attribute)

Replace all missing records with a single and unique value, which is the mean value of that attribute.

Use a multilayer ANN (19-30-15-2).

Input layer - 19 neurons

Second layer - 30 neurons

Third layer - 15 neurons

Output layer - 2 neurons

Activation function for all layers - sigmoid.

Make the necessary adjustments to the net architecture to achieve a high accuracy.