diff --git a/03_classification.ipynb b/03_classification.ipynb
index 05050fa..b9f3650 100644
--- a/03_classification.ipynb
+++ b/03_classification.ipynb
@@ -346,13 +346,6 @@
    "execution_count": 23,
    "metadata": {},
    "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "y_train_perfect_predictions = y_train_5  # pretend we reached perfection\n",
     "confusion_matrix(y_train_5, y_train_perfect_predictions)"
@@ -360,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -371,7 +364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -380,7 +373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -389,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -398,7 +391,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -418,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -428,7 +421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -438,7 +431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -447,7 +440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -458,7 +451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -468,7 +461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -479,7 +472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -504,7 +497,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -513,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -533,31 +526,13 @@
     "plt.show()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "threshold_90_precision = thresholds[np.argmax(precisions >= 0.90)] # == 7813"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "threshold_90_precision"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
-    "y_train_pred_90 = (y_scores >= threshold_90_precision)"
+    "threshold_90_precision = thresholds[np.argmax(precisions >= 0.90)]"
    ]
   },
   {
@@ -566,7 +541,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "precision_score(y_train_5, y_train_pred_90)"
+    "threshold_90_precision"
    ]
   },
   {
@@ -574,6 +549,24 @@
    "execution_count": 41,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "y_train_pred_90 = (y_scores >= threshold_90_precision)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "precision_score(y_train_5, y_train_pred_90)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "recall_score(y_train_5, y_train_pred_90)"
    ]
@@ -587,7 +580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [