diff --git a/Notebooks/eval_bootstrap.ipynb b/Notebooks/eval_bootstrap.ipynb
index c84074d75a9f373ffea1779a79a394564abd7ec9..1b4ba752a174d7ffa12d37c7c4e49526411f8059 100644
--- a/Notebooks/eval_bootstrap.ipynb
+++ b/Notebooks/eval_bootstrap.ipynb
@@ -82,7 +82,7 @@
    "outputs": [],
    "source": [
     "# predictand to evaluate\n",
-    "PREDICTAND = 'tasmin'"
+    "PREDICTAND = 'pr'"
    ]
   },
   {
@@ -93,7 +93,7 @@
    "outputs": [],
    "source": [
     "# whether only precipitation was used as predictor\n",
-    "PR_ONLY = False"
+    "PR_ONLY = True"
    ]
   },
   {
@@ -117,8 +117,8 @@
    "source": [
     "# model to evaluate\n",
     "if PREDICTAND == 'pr' and PR_ONLY:\n",
-    "    models = ['USegNet_pr_pr_1mm_{}_{}'.format(PREDICTAND, loss, OPTIM) if loss == 'BernoulliGammaLoss' else\n",
-    "              'USegNet_pr_pr_{}_{}'.format(PREDICTAND, loss, OPTIM) for loss in LOSS]\n",
+    "    models = ['USegNet_pr_pr_1mm_{}_{}'.format(loss, OPTIM) if loss == 'BernoulliGammaLoss' else\n",
+    "              'USegNet_pr_pr_{}_{}'.format(loss, OPTIM) for loss in LOSS]\n",
     "else:\n",
     "    models = ['USegNet_{}_ztuvq_500_850_p_dem_doy_1mm_{}_{}'.format(PREDICTAND, loss, OPTIM) if loss == 'BernoulliGammaLoss' else\n",
     "              'USegNet_{}_ztuvq_500_850_p_dem_doy_{}_{}'.format(PREDICTAND, loss, OPTIM) for loss in LOSS]"