diff --git a/1 - An invitation to sketched learning.ipynb b/1 - An invitation to sketched learning.ipynb
index 72a021a4f410594382cc6e8bcddb1ffb1306d9f9..37d87b8af36a43c6541194036b5b776751121681 100644
--- a/1 - An invitation to sketched learning.ipynb	
+++ b/1 - An invitation to sketched learning.ipynb	
@@ -4,8 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# An invitation to sketched learning\n",
-    "In this notebook, we highlight the potential gain of sketched learning on a large-scale  synthetic dataset. \n",
+    "# An invitation to compressive learning\n",
+    "In this notebook, we highlight the potential gain of compressive learning on a large-scale  synthetic dataset. \n",
+    "\n",
     "**Warning:** It takes a little while to run."
    ]
   },
@@ -58,7 +59,10 @@
     "K = 10       # Number of Gaussians\n",
     "n = int(1e7) # Number of samples we want to generate\n",
     "# We use the generatedataset_GMM method from pycle (we ask that the entries are <= 1, and imbalanced clusters)\n",
-    "X = pycle.utils.generatedataset_GMM(d,K,n,normalize='l_inf-unit-ball',balanced=False, separation_scale=6) \n",
+    "X = pycle.utils.generatedataset_GMM(d,K,n,\n",
+    "                                    normalize = 'l_inf-unit-ball',\n",
+    "                                    balanced = False, \n",
+    "                                    separation_scale = 6) \n",
     "\n",
     "# Bounds on the dataset, necessary for compressive k-means\n",
     "bounds = np.array([-np.ones(d),np.ones(d)]) # We assumed the data is normalized between -1 and 1\n",
@@ -74,7 +78,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We first compress the dataset as a single sketch vector of $1600$."
+    "We first compress the dataset as a single sketch vector of length $m = 8Kd = 1600$."
    ]
   },
   {
@@ -105,7 +109,7 @@
     "# To generate the map, we provide a nonlinearity rho (here complex exponential for RFF) and the projections W\n",
     "Phi = pycle.sketching.SimpleFeatureMap(\"ComplexExponential\",W)\n",
     "\n",
-    "# We sketch X with Phi: we map a 100000x2 dataset -> a 100-dimensional complex vector\n",
+    "# We sketch X with Phi: we map a 10000000x20 dataset -> a 1600-dimensional complex vector\n",
     "z = pycle.sketching.computeSketch(X,Phi,batch_size=5)\n",
     "\n",
     "\n",
@@ -133,15 +137,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time to learn centroids from the sketch : 19.64159607887268 seconds\n"
+      "Time to learn centroids from the sketch : 19.87 seconds\n"
      ]
     }
    ],
    "source": [
     "start = time()\n",
-    "(weights,centroids) = pycle.compressive_learning.CLOMPR(\"k-means\",z,Phi,K,bounds,nRepetitions=1)\n",
+    "(weights,centroids) = pycle.compressive_learning.CLOMPR(\"k-means\",\n",
+    "                                                        z,Phi,K,\n",
+    "                                                        bounds,nRepetitions=1)\n",
     "stop = time()\n",
-    "print(\"Time to learn centroids from the sketch : {} seconds\".format(stop-start))"
+    "print(f\"Time to learn centroids from the sketch : {stop-start:.2f} seconds\")"
    ]
   },
   {
@@ -153,7 +159,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time to learn centroids from the full dataset : 365.33590602874756 seconds\n"
+      "Time to learn centroids from the full dataset : 291.58 seconds\n"
      ]
     }
    ],
@@ -164,24 +170,26 @@
     "start = time()\n",
     "kmeans_estimator.fit(X)\n",
     "stop = time()\n",
-    "print(\"Time to learn centroids from the full dataset : {} seconds\".format(stop-start))"
+    "print(f\"Time to learn centroids from the full dataset : {stop-start:.2f} seconds\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's compare the performances, as expressed by the Sum of Squared Errors (SSE), of both approaches. What is the \"price to pay\" for sketching ?"
+    "Let's compare the performances, as expressed by the Sum of Squared Errors (SSE), of both approaches. \n",
+    "\n",
+    "What is the \"price to pay\" for sketching?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -195,9 +203,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "SSE from sketch: 615246.3229068591\n",
-      "SSE from k-means: 591302.7260215983\n",
-      "Relative SSE (SSE of usual k-means / SSE of the centroids recovered from the sketch): 1.0404929587359728\n"
+      "SSE from sketch: 615246.32\n",
+      "SSE from k-means: 591302.73\n",
+      "Relative SSE (SSE of usual k-means / SSE of the centroids recovered from the sketch): 1.04\n"
      ]
     }
    ],
@@ -205,23 +213,24 @@
     "# Visualize the centroids (we re-use the dataset for visual comparison)\n",
     "plt.figure(figsize=(5,5))\n",
     "plt.title(\"Compressively learned centroids\")\n",
-    "plt.scatter(X[:,0],X[:,1],s=1, alpha=0.015)\n",
-    "plt.scatter(centroids[:,0],centroids[:,1],s=1000*weights)\n",
-    "plt.legend([\"Data\",\"Centroids\"])\n",
+    "plt.scatter(X[:,0],X[:,1],s=1, alpha=0.015, label=\"Data\")\n",
+    "plt.scatter(centroids[:,0],centroids[:,1],s=1000*weights, label=\"Centroids (sketch)\")\n",
+    "\n",
+    "# For comparison, draw little red stars for Kmeans centroid\n",
+    "centroids_kmeans = kmeans_estimator.cluster_centers_\n",
+    "plt.scatter(centroids_kmeans[:,0], centroids_kmeans[:,1], marker='*', c='k', label=\"Centroids (k-means)\")\n",
+    "\n",
+    "plt.legend(loc = 'upper right')\n",
     "plt.show()\n",
     "\n",
     "SSE_sketching = pycle.utils.SSE(X,centroids)\n",
-    "print(\"SSE from sketch: {}\".format(SSE_sketching))\n",
+    "print(f\"SSE from sketch: {SSE_sketching:.2f}\")\n",
     "\n",
     "# Compare to k-means\n",
-    "#from sklearn.cluster import KMeans\n",
-    "#kmeans_estimator = KMeans(n_clusters=K)\n",
-    "#kmeans_estimator.fit(X)\n",
-    "centroids_kmeans = kmeans_estimator.cluster_centers_\n",
     "SSE_kmeans = pycle.utils.SSE(X,centroids_kmeans)\n",
-    "print(\"SSE from k-means: {}\".format(SSE_kmeans))\n",
+    "print(f\"SSE from k-means: {SSE_kmeans:.2f}\")\n",
     "\n",
-    "print(\"Relative SSE (SSE of usual k-means / SSE of the centroids recovered from the sketch): {}\".format(SSE_sketching/SSE_kmeans))\n"
+    "print(f\"Relative SSE (SSE of usual k-means / SSE of the centroids recovered from the sketch): {SSE_sketching/SSE_kmeans:.2f}\")\n"
    ]
   },
   {
@@ -233,6 +242,13 @@
     "\n",
     "Some words of caution: in our time analysis, note that we did not include the time required to compute the sketch itself, so the comparison is not completely honest. However, computation of the sketch could be very easily parallelized (not done here), which would heavily reduce this time. Moreover, our code for sketched learning is not at all optimized for running speed (compared to such a popular library such as `scikit-learn`). The time advantages of sketched learning would continue to increase as the size of the dataset increases."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {