more typos

Author: mhjensen

doc/pub/week15/html/week15-bs.html

@@ -1484,17 +1484,17 @@ <h2 id="small-addendum-f1-score" class="anchor">Small addendum, \( F1 \)-score <
 It is the harmonic mean of precision and recall and is defined as 
 </p>
 $$
-\mathrm{F1 score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
+\mathrm{F1-score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
 $$
 
 <p>where we have defined</p>
 $$
-\mathrm{precision} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Positives}},
+\mathrm{precision} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Positives}},
 $$
 
 <p>and</p>
 $$
-\mathrm{recall} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Negatives}}.
+\mathrm{recall} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Negatives}}.
 $$
 
 <p>The \( F1 \)-score ranges from \( 0 \) to \( 1 \) where \( 1 \) means perfect precision and recall, while

doc/pub/week15/html/week15-reveal.html

@@ -1322,21 +1322,21 @@ <h2 id="small-addendum-f1-score">Small addendum, \( F1 \)-score </h2>
 </p>
 <p>&nbsp;<br>
 $$
-\mathrm{F1 score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
+\mathrm{F1-score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
 $$
 <p>&nbsp;<br>
 
 <p>where we have defined</p>
 <p>&nbsp;<br>
 $$
-\mathrm{precision} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Positives}},
+\mathrm{precision} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Positives}},
 $$
 <p>&nbsp;<br>
 
 <p>and</p>
 <p>&nbsp;<br>
 $$
-\mathrm{recall} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Negatives}}.
+\mathrm{recall} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Negatives}}.
 $$
 <p>&nbsp;<br>
 

doc/pub/week15/html/week15-solarized.html

@@ -1384,17 +1384,17 @@ <h2 id="small-addendum-f1-score">Small addendum, \( F1 \)-score </h2>
 It is the harmonic mean of precision and recall and is defined as 
 </p>
 $$
-\mathrm{F1 score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
+\mathrm{F1-score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
 $$
 
 <p>where we have defined</p>
 $$
-\mathrm{precision} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Positives}},
+\mathrm{precision} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Positives}},
 $$
 
 <p>and</p>
 $$
-\mathrm{recall} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Negatives}}.
+\mathrm{recall} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Negatives}}.
 $$
 
 <p>The \( F1 \)-score ranges from \( 0 \) to \( 1 \) where \( 1 \) means perfect precision and recall, while

doc/pub/week15/html/week15.html

@@ -1461,17 +1461,17 @@ <h2 id="small-addendum-f1-score">Small addendum, \( F1 \)-score </h2>
 It is the harmonic mean of precision and recall and is defined as 
 </p>
 $$
-\mathrm{F1 score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
+\mathrm{F1-score} = 2 \times \frac{\mathrm{precision} \times \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}},
 $$
 
 <p>where we have defined</p>
 $$
-\mathrm{precision} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Positives}},
+\mathrm{precision} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Positives}},
 $$
 
 <p>and</p>
 $$
-\mathrm{recall} = \frac{\mathrm{True-Positives}}{\mathrm{True-Positives} + \mathrm{False-Negatives}}.
+\mathrm{recall} = \frac{\mathrm{True\hspace{0.1cm}Positives}}{\mathrm{True\hspace{0.1cm}Positives} + \mathrm{False\hspace{0.1cm}Negatives}}.
 $$
 
 <p>The \( F1 \)-score ranges from \( 0 \) to \( 1 \) where \( 1 \) means perfect precision and recall, while