To predict the parameters from the word embeddings, we applied support vector regression (SVR) with a linear and radial basis function (RBF) kernel.
the difficulty parameters were predicted with a root mean squared error (RMSE) of 3.632, and the discrimination parameters were predicted with an RMSE of 1.020 using SVR with a linear kernel.