According to Shannon's second theorem, it is not feasible to transmit information over the channel with . . . . . . . . error probability, although by using any coding technique.

The correct answer is: B. Large

Shannon's second theorem states that there is a limit to the amount of information that can be transmitted over a noisy channel without error. This limit is known as the channel capacity. The channel capacity is determined by the properties of the channel, such as its bandwidth and noise level.

If the error probability is too large, then the information will be corrupted beyond recognition. In this case, it is not feasible to transmit information over the channel, regardless of the coding technique used.

The other options are incorrect because they do not describe the situation that Shannon's second theorem addresses.

• Option A: Small error probability. This is not a problem that Shannon's second theorem addresses.
• Option C: Stable error probability. This is not a problem that Shannon's second theorem addresses.
• Option D: Unpredictable error probability. This is not a problem that Shannon's second theorem addresses.