更改

</math>

</math>

Here, <math>L_1</math> and <math>L_2</math> respectively represent the input and output layers connecting the neural network. Here, the input layer is do-intervened as a uniform distribution, and the mutual information between cause and effect is then calculated. EI can be decomposed into sensitivity and degeneracy. Here, sensitivity is defined as:

Here, <math>L_1</math> and <math>L_2</math> respectively represent the input and output layers connecting the neural network. Here, the input layer is intervened as a uniform distribution, and the mutual information between cause and effect is then calculated. EI can be decomposed into sensitivity and degeneracy. Here, sensitivity is defined as:

<math>

<math>