  We assess the predictive capabilities of various classes of avalanche models
for solar flares. We demonstrate that avalanche models cannot generally be used
to predict specific events due to their high sensitivity to their embedded
stochastic process. We show that deterministically driven models can
nevertheless alleviate this caveat and be efficiently used for large events
predictions. Our results promote a new approach for large (typically X-class)
solar flares predictions based on simple and computationally inexpensive
avalanche models.
