fixing equations

Author: valeriy42

Machine Learning/Class Assigment Objectives/classification-class-assignment-objective.ipynb

@@ -513,20 +513,20 @@
     "\n",
     "For `maximize_minimum_recall` we estimate a threshold $k$ using an optimization procedure and compute:\n",
     "$$\n",
-    "\\text{class_score}(\\text{class 0}) = \\left\\{\\notag\n",
-    "\\begin{eqnarray*} \\\\\n",
+    "\\text{class_score}(\\text{class 0}) = \\left\\{\n",
+    "\\begin{eqnarray*} \n",
     "    \\frac{k}{1.0-k}\\cdot \\text{probability}(\\text{class 0}) & \\text{ if k < 0.5}, \\notag\\\\\n",
     "    \\text{probability}(\\text{class 0}) & \\text{ else.} \\notag\n",
-    "\\end{eqnarray*}\\notag\n",
+    "\\end{eqnarray*}\n",
     "\\right.\n",
     "$$\n",
     "$$\n",
-    "\\text{class_score}(\\text{class 1}) = \\left\\{\\notag\n",
-    "\\begin{eqnarray*} \\\\\n",
+    "\\text{class_score}(\\text{class 1}) = \\left\\{\n",
+    "\\begin{eqnarray*} \n",
     "    \\text{probability}(\\text{class 1}) & \\text{ if k < 0.5}, \\notag\\\\\n",
     "    \\frac{1.0-k}{k}\\cdot \\text{probability}(\\text{class 1}) & \\text{ else.} \\notag\n",
     "\\end{eqnarray*}\n",
-    "\\right.\\notag\n",
+    "\\right.\n",
     "$$\n",
     "\n",
     "As a result, we would assign different classes for some data points especially from the minority class:"