I apologize for the issue with the prediction function. Let's take a closer look at the predictNumber function and make some improvements to ensure it works correctly. I'll analyze the function and make the necessary changes.

Let's update the predictNumber function to address these issues:

These changes should improve the prediction function's accuracy and reliability. Here's a summary of the improvements:

1. We've adjusted the confidence calculations for each prediction method to scale from 0 to 100 based on how far the probability is from 0.5 (random chance).
2. The combined prediction now uses a weighted sum approach, considering the confidence of each method.
3. We've added a threshold for the "NOT_FOUND" case when the weighted sum is close to zero, indicating low confidence in the prediction.
4. The trend analysis is now only used when there are at least 4 historical predictions, and its weight is adjusted accordingly.
5. The analyzeTrend function now includes an additional check for alternating patterns, which can be common in some number sequences.

These changes should make the prediction function more robust and accurate. The confidence levels are now more meaningful, and the combination of different prediction methods should provide better overall results.

If you encounter any issues or need further adjustments, please let me know, and I'll be happy to help you refine the prediction algorithm further.