for mod in range(model_no):
        sheets[ind].write(mod + 1, 0, 'model_{}'.format(mod))

    for train_index, test_index in skf.split(atribute, output):

        lst = [
            models.Fair_rew_RF(un_gr, pr_gr),
            models_H.FAD_H_class(input_size=inp,
                                 num_layers_z=2,
                                 num_layers_y=2,
                                 step_z=1.5,
                                 step_y=1.5),
            models_H.FAIR_scalar_H_class(input_size=inp,
                                         num_layers_w=2,
                                         step_w=1.5,
                                         num_layers_A=1,
                                         step_A=1.5,
                                         num_layers_y=2,
                                         step_y=1.5),
            models_H.FAIR_betaSF_H_class(input_size=inp,
                                         num_layers_w=2,
                                         step_w=1.5,
                                         num_layers_A=1,
                                         step_A=1.5,
                                         num_layers_y=2,
                                         step_y=1.5),
            models_H.FAIR_Bernoulli_H_class(input_size=inp,
                                            num_layers_w=2,
                                            step_w=1.5,
                                            num_layers_A=1,
                                            step_A=1.5,
        k += 1

    for mod in range(model_no):
        sheets[ind].write(mod + 1, 0, 'model_{}'.format(mod))

    lst = [
        models.Fair_rew_RF(un_gr, pr_gr),
        models_H.FAD_H_class(input_size=inp,
                             num_layers_z=3,
                             num_layers_y=2,
                             step_z=2,
                             step_y=2),
        models_H.FAIR_scalar_H_class(input_size=inp,
                                     num_layers_w=2,
                                     step_w=2,
                                     num_layers_A=2,
                                     step_A=2,
                                     num_layers_y=3,
                                     step_y=2),
        models_H.FAIR_betaSF_H_class(input_size=inp,
                                     num_layers_w=2,
                                     step_w=2,
                                     num_layers_A=2,
                                     step_A=2,
                                     num_layers_y=3,
                                     step_y=2),
        models_H.FAIR_Bernoulli_H_class(input_size=inp,
                                        num_layers_w=2,
                                        step_w=2,
                                        num_layers_A=2,
                                        step_A=2,