A prediction consensus system receives predicted event values for an event. The predicted event values are generated by various computer models that may have different training schemes and input data. The prediction consensus system generates a consensus value based on the predicted event values after excluding outliers. Outliers are determined among the predicted event values based on statistical measures of the predicted event values as well as observed event values. The predicted event values that appear to be outliers based on the predicted statistical measures may nonetheless be included when they are within the observed statistical measures. This ensures the predicted event values used in the consensus values are not unduly biased towards other predicted event values. Similarly, the identification of event values as accepted or an outlier may be returned as training data for retraining the computer models that generated the predicted event values.