Abstract: Confidence-boosted automated valuation systems and methods for performing confident processing of valuations from automated valuation models are disclosed. The confidence-boosted automated valuation system uses home/model data, actual values, and predicted values of homes to train a confidence model to produce confidence scores. The system can partition the homes into confident bins each containing homes with similar confidence scores. To generate a confidence score for a predicted value of a subject home, the confidence-boosted automated valuation system can apply the trained confidence model to the subject home. Using the generated confidence score, the confidence-boosted automated valuation system can identify a confidence bin the subject home falls in. The confidence-boosted automated valuation system can compute a predicted error in the predicted value of the subject home using the confidence bin.