diff --git a/notebooks/_build/.doctrees/analysis.doctree b/notebooks/_build/.doctrees/analysis.doctree
index 49be21d..8b7fb9f 100644
Binary files a/notebooks/_build/.doctrees/analysis.doctree and b/notebooks/_build/.doctrees/analysis.doctree differ
diff --git a/notebooks/_build/.doctrees/environment.pickle b/notebooks/_build/.doctrees/environment.pickle
index dd00b2b..93e4a79 100644
Binary files a/notebooks/_build/.doctrees/environment.pickle and b/notebooks/_build/.doctrees/environment.pickle differ
diff --git a/notebooks/_build/html/_sources/analysis.ipynb b/notebooks/_build/html/_sources/analysis.ipynb
index 02d70b8..b4dd8e3 100644
--- a/notebooks/_build/html/_sources/analysis.ipynb
+++ b/notebooks/_build/html/_sources/analysis.ipynb
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 25,
    "metadata": {
     "tags": [
      "remove-input"
@@ -149,6 +149,7 @@
     }
    ],
    "source": [
+    "library(tidyverse)\n",
     "heart_data <- read_csv('../data/processed/heart_data.csv', show_col_types = FALSE)\n",
     "head(heart_data)"
    ]
diff --git a/notebooks/_build/html/analysis.html b/notebooks/_build/html/analysis.html
index 3c6e8f2..4aff518 100644
--- a/notebooks/_build/html/analysis.html
+++ b/notebooks/_build/html/analysis.html
@@ -381,11 +381,36 @@ <h2><a class="toc-backref" href="#id17">Preliminary Exploratory Data Analysis</a
 <p>We combined the datasets “processed.switzerland.data,” “processed.va.data”, “processed.cleveland.data,” and “processed.hungarian.data”, to generate a longer and more complete dataset. Our complete aggregated data contains 13 different columns with an additional 8 that repeat some of the variables as factors instead of numeric types. Based on initial viewing of the data we decided to eliminate the <code class="docutils literal notranslate"><span class="pre">ST_dep</span></code> and <code class="docutils literal notranslate"><span class="pre">slope</span></code> columns as they were missing too many points.</p>
 <div class="cell tag_remove-input docutils container">
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="n">Error</span> <span class="ow">in</span> <span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;../data/processed/heart_data.csv&quot;</span><span class="p">,</span> <span class="n">show_col_types</span> <span class="o">=</span> <span class="n">FALSE</span><span class="p">):</span> <span class="n">could</span> <span class="ow">not</span> <span class="n">find</span> <span class="n">function</span> <span class="s2">&quot;read_csv&quot;</span>
-<span class="ne">Traceback</span>:
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>── <span class=" -Color -Color-Bold">Attaching packages</span> ──────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.2 ──
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">ggplot2</span> 3.3.6      <span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">purrr  </span> 0.3.5 
+<span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">tibble </span> 3.1.8      <span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">dplyr  </span> 1.0.10
+<span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">tidyr  </span> 1.2.1      <span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">stringr</span> 1.4.1 
+<span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">readr  </span> 2.1.3      <span class=" -Color -Color-Green">✔</span> <span class=" -Color -Color-Blue">forcats</span> 0.5.2 
+</pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>── <span class=" -Color -Color-Bold">Conflicts</span> ─────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
+<span class=" -Color -Color-Red">✖</span> <span class=" -Color -Color-Blue">dplyr</span>::<span class=" -Color -Color-Green">filter()</span> masks <span class=" -Color -Color-Blue">stats</span>::filter()
+<span class=" -Color -Color-Red">✖</span> <span class=" -Color -Color-Blue">dplyr</span>::<span class=" -Color -Color-Green">lag()</span>    masks <span class=" -Color -Color-Blue">stats</span>::lag()
+</pre></div>
+</div>
+<div class="output text_html"><table class="dataframe">
+<caption>A tibble: 6 × 21</caption>
+<thead>
+	<tr><th scope=col>place</th><th scope=col>age</th><th scope=col>sex</th><th scope=col>chest_pain</th><th scope=col>rest_bp</th><th scope=col>cholestoral_mmHg</th><th scope=col>fasting_bs</th><th scope=col>rest_ECG</th><th scope=col>max_heart_rate</th><th scope=col>exercise</th><th scope=col>⋯</th><th scope=col>thal</th><th scope=col>diagnosis</th><th scope=col>sex_f</th><th scope=col>chest_pain_f</th><th scope=col>fasting_bs_f</th><th scope=col>rest_ECG_f</th><th scope=col>exercise_f</th><th scope=col>major_vessels_f</th><th scope=col>thal_f</th><th scope=col>diagnosis_f</th></tr>
+	<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>
+</thead>
+<tbody>
+	<tr><td>switzerland</td><td>32</td><td>1</td><td>1</td><td> 95</td><td>0</td><td>NA</td><td> 0</td><td>127</td><td>0</td><td>⋯</td><td>NA</td><td>1</td><td>1</td><td>1</td><td>NA</td><td> 0</td><td>0</td><td>NA</td><td>NA</td><td>1</td></tr>
+	<tr><td>switzerland</td><td>34</td><td>1</td><td>4</td><td>115</td><td>0</td><td>NA</td><td>NA</td><td>154</td><td>0</td><td>⋯</td><td>NA</td><td>1</td><td>1</td><td>4</td><td>NA</td><td>NA</td><td>0</td><td>NA</td><td>NA</td><td>1</td></tr>
+	<tr><td>switzerland</td><td>35</td><td>1</td><td>4</td><td> NA</td><td>0</td><td>NA</td><td> 0</td><td>130</td><td>1</td><td>⋯</td><td> 7</td><td>3</td><td>1</td><td>4</td><td>NA</td><td> 0</td><td>1</td><td>NA</td><td> 7</td><td>3</td></tr>
+	<tr><td>switzerland</td><td>36</td><td>1</td><td>4</td><td>110</td><td>0</td><td>NA</td><td> 0</td><td>125</td><td>1</td><td>⋯</td><td> 6</td><td>1</td><td>1</td><td>4</td><td>NA</td><td> 0</td><td>1</td><td>NA</td><td> 6</td><td>1</td></tr>
+	<tr><td>switzerland</td><td>38</td><td>0</td><td>4</td><td>105</td><td>0</td><td>NA</td><td> 0</td><td>166</td><td>0</td><td>⋯</td><td>NA</td><td>2</td><td>0</td><td>4</td><td>NA</td><td> 0</td><td>0</td><td>NA</td><td>NA</td><td>2</td></tr>
+	<tr><td>switzerland</td><td>38</td><td>0</td><td>4</td><td>110</td><td>0</td><td> 0</td><td> 0</td><td>156</td><td>0</td><td>⋯</td><td> 3</td><td>1</td><td>0</td><td>4</td><td> 0</td><td> 0</td><td>0</td><td>NA</td><td> 3</td><td>1</td></tr>
+</tbody>
+</table>
+</div></div>
 </div>
 <p><span style="color:gray"><em><strong>Table 1.</strong></em> <em>All columns with all data from the four heart disease data sets.</em></style></p>
 <section id="training-and-testing-set">
@@ -534,10 +559,24 @@ <h2><a class="toc-backref" href="#id27">Classification Model</a><a class="header
 	<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>
 </thead>
 <tbody>
-	<tr><td>1</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.0236634</td><td>Preprocessor1_Model01</td></tr>
-	<tr><td>2</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.0236634</td><td>Preprocessor1_Model02</td></tr>
-	<tr><td>3</td><td>accuracy</td><td>multiclass</td><td>0.6029462</td><td>5</td><td>0.0151404</td><td>Preprocessor1_Model03</td></tr>
-	<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>
+	<tr><td> 1</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.02366340</td><td>Preprocessor1_Model01</td></tr>
+	<tr><td> 2</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.02366340</td><td>Preprocessor1_Model02</td></tr>
+	<tr><td> 3</td><td>accuracy</td><td>multiclass</td><td>0.6029462</td><td>5</td><td>0.01514040</td><td>Preprocessor1_Model03</td></tr>
+	<tr><td> 4</td><td>accuracy</td><td>multiclass</td><td>0.5385281</td><td>5</td><td>0.02673251</td><td>Preprocessor1_Model04</td></tr>
+	<tr><td> 5</td><td>accuracy</td><td>multiclass</td><td>0.4887989</td><td>5</td><td>0.02443692</td><td>Preprocessor1_Model05</td></tr>
+	<tr><td> 6</td><td>accuracy</td><td>multiclass</td><td>0.4738275</td><td>5</td><td>0.02162800</td><td>Preprocessor1_Model06</td></tr>
+	<tr><td> 7</td><td>accuracy</td><td>multiclass</td><td>0.4439486</td><td>5</td><td>0.02178144</td><td>Preprocessor1_Model07</td></tr>
+	<tr><td> 8</td><td>accuracy</td><td>multiclass</td><td>0.4293183</td><td>5</td><td>0.02294124</td><td>Preprocessor1_Model08</td></tr>
+	<tr><td> 9</td><td>accuracy</td><td>multiclass</td><td>0.4121262</td><td>5</td><td>0.03267083</td><td>Preprocessor1_Model09</td></tr>
+	<tr><td>10</td><td>accuracy</td><td>multiclass</td><td>0.3998106</td><td>5</td><td>0.03164645</td><td>Preprocessor1_Model10</td></tr>
+	<tr><td>11</td><td>accuracy</td><td>multiclass</td><td>0.3947775</td><td>5</td><td>0.02715977</td><td>Preprocessor1_Model11</td></tr>
+	<tr><td>12</td><td>accuracy</td><td>multiclass</td><td>0.3775205</td><td>5</td><td>0.03101980</td><td>Preprocessor1_Model12</td></tr>
+	<tr><td>13</td><td>accuracy</td><td>multiclass</td><td>0.3600483</td><td>5</td><td>0.02919724</td><td>Preprocessor1_Model13</td></tr>
+	<tr><td>14</td><td>accuracy</td><td>multiclass</td><td>0.3673307</td><td>5</td><td>0.01475960</td><td>Preprocessor1_Model14</td></tr>
+	<tr><td>15</td><td>accuracy</td><td>multiclass</td><td>0.3697072</td><td>5</td><td>0.01017029</td><td>Preprocessor1_Model15</td></tr>
+	<tr><td>16</td><td>accuracy</td><td>multiclass</td><td>0.3794935</td><td>5</td><td>0.01357445</td><td>Preprocessor1_Model16</td></tr>
+	<tr><td>17</td><td>accuracy</td><td>multiclass</td><td>0.3770868</td><td>5</td><td>0.01510417</td><td>Preprocessor1_Model17</td></tr>
+	<tr><td>18</td><td>accuracy</td><td>multiclass</td><td>0.3891863</td><td>5</td><td>0.01990557</td><td>Preprocessor1_Model18</td></tr>
 	<tr><td>19</td><td>accuracy</td><td>multiclass</td><td>0.3916246</td><td>5</td><td>0.02010759</td><td>Preprocessor1_Model19</td></tr>
 	<tr><td>20</td><td>accuracy</td><td>multiclass</td><td>0.3968738</td><td>5</td><td>0.01765057</td><td>Preprocessor1_Model20</td></tr>
 	<tr><td>21</td><td>accuracy</td><td>multiclass</td><td>0.3893414</td><td>5</td><td>0.01604878</td><td>Preprocessor1_Model21</td></tr>
@@ -573,7 +612,61 @@ <h3><a class="toc-backref" href="#id28">Testing the Model</a><a class="headerlin
 	<tr><td>2</td><td>110</td><td>38</td><td>156</td><td>1</td></tr>
 	<tr><td>1</td><td>115</td><td>38</td><td>128</td><td>1</td></tr>
 	<tr><td>0</td><td>150</td><td>38</td><td>120</td><td>1</td></tr>
+	<tr><td>3</td><td>105</td><td>42</td><td>128</td><td>1</td></tr>
+	<tr><td>4</td><td>110</td><td>45</td><td>138</td><td>0</td></tr>
+	<tr><td>3</td><td>100</td><td>46</td><td>133</td><td>1</td></tr>
+	<tr><td>1</td><td>110</td><td>47</td><td>120</td><td>1</td></tr>
+	<tr><td>2</td><td>120</td><td>51</td><td>104</td><td>3</td></tr>
+	<tr><td>1</td><td>130</td><td>51</td><td>170</td><td>2</td></tr>
+	<tr><td>4</td><td> 95</td><td>52</td><td> 82</td><td>2</td></tr>
+	<tr><td>4</td><td>120</td><td>53</td><td> 95</td><td>3</td></tr>
+	<tr><td>2</td><td>130</td><td>53</td><td>120</td><td>0</td></tr>
+	<tr><td>2</td><td> 80</td><td>53</td><td>141</td><td>0</td></tr>
+	<tr><td>1</td><td>120</td><td>54</td><td>155</td><td>2</td></tr>
+	<tr><td>0</td><td>180</td><td>54</td><td>150</td><td>1</td></tr>
+	<tr><td>1</td><td>140</td><td>55</td><td>150</td><td>0</td></tr>
+	<tr><td>1</td><td>115</td><td>55</td><td>155</td><td>1</td></tr>
+	<tr><td>2</td><td>120</td><td>56</td><td> 97</td><td>0</td></tr>
+	<tr><td>2</td><td>155</td><td>56</td><td> 99</td><td>2</td></tr>
+	<tr><td>1</td><td>120</td><td>56</td><td>148</td><td>2</td></tr>
+	<tr><td>2</td><td>140</td><td>56</td><td>121</td><td>1</td></tr>
+	<tr><td>1</td><td>105</td><td>57</td><td>148</td><td>1</td></tr>
+	<tr><td>1</td><td>140</td><td>57</td><td>100</td><td>3</td></tr>
+	<tr><td>0</td><td>110</td><td>59</td><td> 94</td><td>3</td></tr>
+	<tr><td>2</td><td>160</td><td>60</td><td> 99</td><td>3</td></tr>
+	<tr><td>2</td><td>160</td><td>60</td><td>149</td><td>1</td></tr>
+	<tr><td>3</td><td>130</td><td>61</td><td>115</td><td>3</td></tr>
+	<tr><td>2</td><td>130</td><td>61</td><td> 77</td><td>3</td></tr>
+	<tr><td>0</td><td>150</td><td>61</td><td>117</td><td>2</td></tr>
+	<tr><td>2</td><td>150</td><td>63</td><td>154</td><td>3</td></tr>
 	<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>
+	<tr><td>0</td><td>114</td><td>51</td><td> 96</td><td>0</td></tr>
+	<tr><td>1</td><td>127</td><td>54</td><td>154</td><td>1</td></tr>
+	<tr><td>2</td><td>140</td><td>63</td><td>112</td><td>2</td></tr>
+	<tr><td>2</td><td>160</td><td>60</td><td>157</td><td>1</td></tr>
+	<tr><td>4</td><td>170</td><td>63</td><td> 84</td><td>4</td></tr>
+	<tr><td>0</td><td>126</td><td>63</td><td>120</td><td>0</td></tr>
+	<tr><td>0</td><td>152</td><td>60</td><td>118</td><td>0</td></tr>
+	<tr><td>1</td><td>120</td><td>64</td><td>106</td><td>1</td></tr>
+	<tr><td>1</td><td>120</td><td>56</td><td>120</td><td>1</td></tr>
+	<tr><td>1</td><td>124</td><td>56</td><td>161</td><td>0</td></tr>
+	<tr><td>1</td><td>126</td><td>53</td><td>106</td><td>1</td></tr>
+	<tr><td>4</td><td>170</td><td>56</td><td>123</td><td>4</td></tr>
+	<tr><td>2</td><td>140</td><td>69</td><td>118</td><td>2</td></tr>
+	<tr><td>3</td><td>136</td><td>54</td><td>140</td><td>3</td></tr>
+	<tr><td>3</td><td>120</td><td>72</td><td>102</td><td>3</td></tr>
+	<tr><td>1</td><td>142</td><td>60</td><td>110</td><td>2</td></tr>
+	<tr><td>2</td><td>146</td><td>61</td><td>148</td><td>2</td></tr>
+	<tr><td>1</td><td>158</td><td>62</td><td>112</td><td>1</td></tr>
+	<tr><td>1</td><td>102</td><td>48</td><td>110</td><td>1</td></tr>
+	<tr><td>0</td><td>150</td><td>55</td><td>150</td><td>0</td></tr>
+	<tr><td>4</td><td>104</td><td>76</td><td>120</td><td>4</td></tr>
+	<tr><td>0</td><td>120</td><td>62</td><td> 86</td><td>0</td></tr>
+	<tr><td>2</td><td>150</td><td>58</td><td>118</td><td>2</td></tr>
+	<tr><td>0</td><td>160</td><td>75</td><td>112</td><td>0</td></tr>
+	<tr><td>2</td><td>150</td><td>64</td><td>135</td><td>2</td></tr>
+	<tr><td>1</td><td>180</td><td>57</td><td>120</td><td>1</td></tr>
+	<tr><td>3</td><td>140</td><td>67</td><td>122</td><td>3</td></tr>
 	<tr><td>2</td><td>130</td><td>64</td><td>130</td><td>2</td></tr>
 	<tr><td>3</td><td>160</td><td>58</td><td>113</td><td>3</td></tr>
 	<tr><td>2</td><td>150</td><td>58</td><td>118</td><td>2</td></tr>
diff --git a/notebooks/_build/html/searchindex.js b/notebooks/_build/html/searchindex.js
index f857501..a47a2e8 100644
--- a/notebooks/_build/html/searchindex.js
+++ b/notebooks/_build/html/searchindex.js
@@ -1 +1 @@
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diff --git a/notebooks/_build/jupyter_execute/analysis.ipynb b/notebooks/_build/jupyter_execute/analysis.ipynb
index 307757f..b39b4f7 100644
--- a/notebooks/_build/jupyter_execute/analysis.ipynb
+++ b/notebooks/_build/jupyter_execute/analysis.ipynb
@@ -74,15 +74,108 @@
    },
    "outputs": [
     {
-     "ename": "ERROR",
-     "evalue": "Error in read_csv(\"../data/processed/heart_data.csv\", show_col_types = FALSE): could not find function \"read_csv\"\n",
-     "output_type": "error",
-     "traceback": [
-      "Error in read_csv(\"../data/processed/heart_data.csv\", show_col_types = FALSE): could not find function \"read_csv\"\nTraceback:\n"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "── \u001b[1mAttaching packages\u001b[22m ──────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.2 ──\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.6      \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.5 \n",
+      "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.1.8      \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 1.0.10\n",
+      "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 1.2.1      \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.1 \n",
+      "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 2.1.3      \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.5.2 \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "── \u001b[1mConflicts\u001b[22m ─────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──\n",
+      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
+      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"dataframe\">\n",
+       "<caption>A tibble: 6 × 21</caption>\n",
+       "<thead>\n",
+       "\t<tr><th scope=col>place</th><th scope=col>age</th><th scope=col>sex</th><th scope=col>chest_pain</th><th scope=col>rest_bp</th><th scope=col>cholestoral_mmHg</th><th scope=col>fasting_bs</th><th scope=col>rest_ECG</th><th scope=col>max_heart_rate</th><th scope=col>exercise</th><th scope=col>⋯</th><th scope=col>thal</th><th scope=col>diagnosis</th><th scope=col>sex_f</th><th scope=col>chest_pain_f</th><th scope=col>fasting_bs_f</th><th scope=col>rest_ECG_f</th><th scope=col>exercise_f</th><th scope=col>major_vessels_f</th><th scope=col>thal_f</th><th scope=col>diagnosis_f</th></tr>\n",
+       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
+       "</thead>\n",
+       "<tbody>\n",
+       "\t<tr><td>switzerland</td><td>32</td><td>1</td><td>1</td><td> 95</td><td>0</td><td>NA</td><td> 0</td><td>127</td><td>0</td><td>⋯</td><td>NA</td><td>1</td><td>1</td><td>1</td><td>NA</td><td> 0</td><td>0</td><td>NA</td><td>NA</td><td>1</td></tr>\n",
+       "\t<tr><td>switzerland</td><td>34</td><td>1</td><td>4</td><td>115</td><td>0</td><td>NA</td><td>NA</td><td>154</td><td>0</td><td>⋯</td><td>NA</td><td>1</td><td>1</td><td>4</td><td>NA</td><td>NA</td><td>0</td><td>NA</td><td>NA</td><td>1</td></tr>\n",
+       "\t<tr><td>switzerland</td><td>35</td><td>1</td><td>4</td><td> NA</td><td>0</td><td>NA</td><td> 0</td><td>130</td><td>1</td><td>⋯</td><td> 7</td><td>3</td><td>1</td><td>4</td><td>NA</td><td> 0</td><td>1</td><td>NA</td><td> 7</td><td>3</td></tr>\n",
+       "\t<tr><td>switzerland</td><td>36</td><td>1</td><td>4</td><td>110</td><td>0</td><td>NA</td><td> 0</td><td>125</td><td>1</td><td>⋯</td><td> 6</td><td>1</td><td>1</td><td>4</td><td>NA</td><td> 0</td><td>1</td><td>NA</td><td> 6</td><td>1</td></tr>\n",
+       "\t<tr><td>switzerland</td><td>38</td><td>0</td><td>4</td><td>105</td><td>0</td><td>NA</td><td> 0</td><td>166</td><td>0</td><td>⋯</td><td>NA</td><td>2</td><td>0</td><td>4</td><td>NA</td><td> 0</td><td>0</td><td>NA</td><td>NA</td><td>2</td></tr>\n",
+       "\t<tr><td>switzerland</td><td>38</td><td>0</td><td>4</td><td>110</td><td>0</td><td> 0</td><td> 0</td><td>156</td><td>0</td><td>⋯</td><td> 3</td><td>1</td><td>0</td><td>4</td><td> 0</td><td> 0</td><td>0</td><td>NA</td><td> 3</td><td>1</td></tr>\n",
+       "</tbody>\n",
+       "</table>\n"
+      ],
+      "text/latex": [
+       "A tibble: 6 × 21\n",
+       "\\begin{tabular}{lllllllllllllllllllll}\n",
+       " place & age & sex & chest\\_pain & rest\\_bp & cholestoral\\_mmHg & fasting\\_bs & rest\\_ECG & max\\_heart\\_rate & exercise & ⋯ & thal & diagnosis & sex\\_f & chest\\_pain\\_f & fasting\\_bs\\_f & rest\\_ECG\\_f & exercise\\_f & major\\_vessels\\_f & thal\\_f & diagnosis\\_f\\\\\n",
+       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
+       "\\hline\n",
+       "\t switzerland & 32 & 1 & 1 &  95 & 0 & NA &  0 & 127 & 0 & ⋯ & NA & 1 & 1 & 1 & NA &  0 & 0 & NA & NA & 1\\\\\n",
+       "\t switzerland & 34 & 1 & 4 & 115 & 0 & NA & NA & 154 & 0 & ⋯ & NA & 1 & 1 & 4 & NA & NA & 0 & NA & NA & 1\\\\\n",
+       "\t switzerland & 35 & 1 & 4 &  NA & 0 & NA &  0 & 130 & 1 & ⋯ &  7 & 3 & 1 & 4 & NA &  0 & 1 & NA &  7 & 3\\\\\n",
+       "\t switzerland & 36 & 1 & 4 & 110 & 0 & NA &  0 & 125 & 1 & ⋯ &  6 & 1 & 1 & 4 & NA &  0 & 1 & NA &  6 & 1\\\\\n",
+       "\t switzerland & 38 & 0 & 4 & 105 & 0 & NA &  0 & 166 & 0 & ⋯ & NA & 2 & 0 & 4 & NA &  0 & 0 & NA & NA & 2\\\\\n",
+       "\t switzerland & 38 & 0 & 4 & 110 & 0 &  0 &  0 & 156 & 0 & ⋯ &  3 & 1 & 0 & 4 &  0 &  0 & 0 & NA &  3 & 1\\\\\n",
+       "\\end{tabular}\n"
+      ],
+      "text/markdown": [
+       "\n",
+       "A tibble: 6 × 21\n",
+       "\n",
+       "| place &lt;chr&gt; | age &lt;dbl&gt; | sex &lt;dbl&gt; | chest_pain &lt;dbl&gt; | rest_bp &lt;dbl&gt; | cholestoral_mmHg &lt;dbl&gt; | fasting_bs &lt;dbl&gt; | rest_ECG &lt;dbl&gt; | max_heart_rate &lt;dbl&gt; | exercise &lt;dbl&gt; | ⋯ ⋯ | thal &lt;dbl&gt; | diagnosis &lt;dbl&gt; | sex_f &lt;dbl&gt; | chest_pain_f &lt;dbl&gt; | fasting_bs_f &lt;dbl&gt; | rest_ECG_f &lt;dbl&gt; | exercise_f &lt;dbl&gt; | major_vessels_f &lt;dbl&gt; | thal_f &lt;dbl&gt; | diagnosis_f &lt;dbl&gt; |\n",
+       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
+       "| switzerland | 32 | 1 | 1 |  95 | 0 | NA |  0 | 127 | 0 | ⋯ | NA | 1 | 1 | 1 | NA |  0 | 0 | NA | NA | 1 |\n",
+       "| switzerland | 34 | 1 | 4 | 115 | 0 | NA | NA | 154 | 0 | ⋯ | NA | 1 | 1 | 4 | NA | NA | 0 | NA | NA | 1 |\n",
+       "| switzerland | 35 | 1 | 4 |  NA | 0 | NA |  0 | 130 | 1 | ⋯ |  7 | 3 | 1 | 4 | NA |  0 | 1 | NA |  7 | 3 |\n",
+       "| switzerland | 36 | 1 | 4 | 110 | 0 | NA |  0 | 125 | 1 | ⋯ |  6 | 1 | 1 | 4 | NA |  0 | 1 | NA |  6 | 1 |\n",
+       "| switzerland | 38 | 0 | 4 | 105 | 0 | NA |  0 | 166 | 0 | ⋯ | NA | 2 | 0 | 4 | NA |  0 | 0 | NA | NA | 2 |\n",
+       "| switzerland | 38 | 0 | 4 | 110 | 0 |  0 |  0 | 156 | 0 | ⋯ |  3 | 1 | 0 | 4 |  0 |  0 | 0 | NA |  3 | 1 |\n",
+       "\n"
+      ],
+      "text/plain": [
+       "  place       age sex chest_pain rest_bp cholestoral_mmHg fasting_bs rest_ECG\n",
+       "1 switzerland 32  1   1           95     0                NA          0      \n",
+       "2 switzerland 34  1   4          115     0                NA         NA      \n",
+       "3 switzerland 35  1   4           NA     0                NA          0      \n",
+       "4 switzerland 36  1   4          110     0                NA          0      \n",
+       "5 switzerland 38  0   4          105     0                NA          0      \n",
+       "6 switzerland 38  0   4          110     0                 0          0      \n",
+       "  max_heart_rate exercise ⋯ thal diagnosis sex_f chest_pain_f fasting_bs_f\n",
+       "1 127            0        ⋯ NA   1         1     1            NA          \n",
+       "2 154            0        ⋯ NA   1         1     4            NA          \n",
+       "3 130            1        ⋯  7   3         1     4            NA          \n",
+       "4 125            1        ⋯  6   1         1     4            NA          \n",
+       "5 166            0        ⋯ NA   2         0     4            NA          \n",
+       "6 156            0        ⋯  3   1         0     4             0          \n",
+       "  rest_ECG_f exercise_f major_vessels_f thal_f diagnosis_f\n",
+       "1  0         0          NA              NA     1          \n",
+       "2 NA         0          NA              NA     1          \n",
+       "3  0         1          NA               7     3          \n",
+       "4  0         1          NA               6     1          \n",
+       "5  0         0          NA              NA     2          \n",
+       "6  0         0          NA               3     1          "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
+    "library(tidyverse)\n",
     "heart_data <- read_csv('../data/processed/heart_data.csv', show_col_types = FALSE)\n",
     "head(heart_data)"
    ]
@@ -229,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {
     "tags": [
      "remove-input"
@@ -358,7 +451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "metadata": {
     "tags": [
      "remove-input"
@@ -457,7 +550,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "metadata": {
     "tags": [
      "remove-input"
@@ -603,7 +696,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 5,
    "metadata": {
     "tags": [
      "remove-input"
@@ -623,10 +716,24 @@
        "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
        "</thead>\n",
        "<tbody>\n",
-       "\t<tr><td>1</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.0236634</td><td>Preprocessor1_Model01</td></tr>\n",
-       "\t<tr><td>2</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.0236634</td><td>Preprocessor1_Model02</td></tr>\n",
-       "\t<tr><td>3</td><td>accuracy</td><td>multiclass</td><td>0.6029462</td><td>5</td><td>0.0151404</td><td>Preprocessor1_Model03</td></tr>\n",
-       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
+       "\t<tr><td> 1</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.02366340</td><td>Preprocessor1_Model01</td></tr>\n",
+       "\t<tr><td> 2</td><td>accuracy</td><td>multiclass</td><td>0.7741329</td><td>5</td><td>0.02366340</td><td>Preprocessor1_Model02</td></tr>\n",
+       "\t<tr><td> 3</td><td>accuracy</td><td>multiclass</td><td>0.6029462</td><td>5</td><td>0.01514040</td><td>Preprocessor1_Model03</td></tr>\n",
+       "\t<tr><td> 4</td><td>accuracy</td><td>multiclass</td><td>0.5385281</td><td>5</td><td>0.02673251</td><td>Preprocessor1_Model04</td></tr>\n",
+       "\t<tr><td> 5</td><td>accuracy</td><td>multiclass</td><td>0.4887989</td><td>5</td><td>0.02443692</td><td>Preprocessor1_Model05</td></tr>\n",
+       "\t<tr><td> 6</td><td>accuracy</td><td>multiclass</td><td>0.4738275</td><td>5</td><td>0.02162800</td><td>Preprocessor1_Model06</td></tr>\n",
+       "\t<tr><td> 7</td><td>accuracy</td><td>multiclass</td><td>0.4439486</td><td>5</td><td>0.02178144</td><td>Preprocessor1_Model07</td></tr>\n",
+       "\t<tr><td> 8</td><td>accuracy</td><td>multiclass</td><td>0.4293183</td><td>5</td><td>0.02294124</td><td>Preprocessor1_Model08</td></tr>\n",
+       "\t<tr><td> 9</td><td>accuracy</td><td>multiclass</td><td>0.4121262</td><td>5</td><td>0.03267083</td><td>Preprocessor1_Model09</td></tr>\n",
+       "\t<tr><td>10</td><td>accuracy</td><td>multiclass</td><td>0.3998106</td><td>5</td><td>0.03164645</td><td>Preprocessor1_Model10</td></tr>\n",
+       "\t<tr><td>11</td><td>accuracy</td><td>multiclass</td><td>0.3947775</td><td>5</td><td>0.02715977</td><td>Preprocessor1_Model11</td></tr>\n",
+       "\t<tr><td>12</td><td>accuracy</td><td>multiclass</td><td>0.3775205</td><td>5</td><td>0.03101980</td><td>Preprocessor1_Model12</td></tr>\n",
+       "\t<tr><td>13</td><td>accuracy</td><td>multiclass</td><td>0.3600483</td><td>5</td><td>0.02919724</td><td>Preprocessor1_Model13</td></tr>\n",
+       "\t<tr><td>14</td><td>accuracy</td><td>multiclass</td><td>0.3673307</td><td>5</td><td>0.01475960</td><td>Preprocessor1_Model14</td></tr>\n",
+       "\t<tr><td>15</td><td>accuracy</td><td>multiclass</td><td>0.3697072</td><td>5</td><td>0.01017029</td><td>Preprocessor1_Model15</td></tr>\n",
+       "\t<tr><td>16</td><td>accuracy</td><td>multiclass</td><td>0.3794935</td><td>5</td><td>0.01357445</td><td>Preprocessor1_Model16</td></tr>\n",
+       "\t<tr><td>17</td><td>accuracy</td><td>multiclass</td><td>0.3770868</td><td>5</td><td>0.01510417</td><td>Preprocessor1_Model17</td></tr>\n",
+       "\t<tr><td>18</td><td>accuracy</td><td>multiclass</td><td>0.3891863</td><td>5</td><td>0.01990557</td><td>Preprocessor1_Model18</td></tr>\n",
        "\t<tr><td>19</td><td>accuracy</td><td>multiclass</td><td>0.3916246</td><td>5</td><td>0.02010759</td><td>Preprocessor1_Model19</td></tr>\n",
        "\t<tr><td>20</td><td>accuracy</td><td>multiclass</td><td>0.3968738</td><td>5</td><td>0.01765057</td><td>Preprocessor1_Model20</td></tr>\n",
        "\t<tr><td>21</td><td>accuracy</td><td>multiclass</td><td>0.3893414</td><td>5</td><td>0.01604878</td><td>Preprocessor1_Model21</td></tr>\n",
@@ -639,10 +746,24 @@
        " neighbors & .metric & .estimator & mean & n & std\\_err & .config\\\\\n",
        " <dbl> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <chr>\\\\\n",
        "\\hline\n",
-       "\t 1 & accuracy & multiclass & 0.7741329 & 5 & 0.0236634 & Preprocessor1\\_Model01\\\\\n",
-       "\t 2 & accuracy & multiclass & 0.7741329 & 5 & 0.0236634 & Preprocessor1\\_Model02\\\\\n",
-       "\t 3 & accuracy & multiclass & 0.6029462 & 5 & 0.0151404 & Preprocessor1\\_Model03\\\\\n",
-       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
+       "\t  1 & accuracy & multiclass & 0.7741329 & 5 & 0.02366340 & Preprocessor1\\_Model01\\\\\n",
+       "\t  2 & accuracy & multiclass & 0.7741329 & 5 & 0.02366340 & Preprocessor1\\_Model02\\\\\n",
+       "\t  3 & accuracy & multiclass & 0.6029462 & 5 & 0.01514040 & Preprocessor1\\_Model03\\\\\n",
+       "\t  4 & accuracy & multiclass & 0.5385281 & 5 & 0.02673251 & Preprocessor1\\_Model04\\\\\n",
+       "\t  5 & accuracy & multiclass & 0.4887989 & 5 & 0.02443692 & Preprocessor1\\_Model05\\\\\n",
+       "\t  6 & accuracy & multiclass & 0.4738275 & 5 & 0.02162800 & Preprocessor1\\_Model06\\\\\n",
+       "\t  7 & accuracy & multiclass & 0.4439486 & 5 & 0.02178144 & Preprocessor1\\_Model07\\\\\n",
+       "\t  8 & accuracy & multiclass & 0.4293183 & 5 & 0.02294124 & Preprocessor1\\_Model08\\\\\n",
+       "\t  9 & accuracy & multiclass & 0.4121262 & 5 & 0.03267083 & Preprocessor1\\_Model09\\\\\n",
+       "\t 10 & accuracy & multiclass & 0.3998106 & 5 & 0.03164645 & Preprocessor1\\_Model10\\\\\n",
+       "\t 11 & accuracy & multiclass & 0.3947775 & 5 & 0.02715977 & Preprocessor1\\_Model11\\\\\n",
+       "\t 12 & accuracy & multiclass & 0.3775205 & 5 & 0.03101980 & Preprocessor1\\_Model12\\\\\n",
+       "\t 13 & accuracy & multiclass & 0.3600483 & 5 & 0.02919724 & Preprocessor1\\_Model13\\\\\n",
+       "\t 14 & accuracy & multiclass & 0.3673307 & 5 & 0.01475960 & Preprocessor1\\_Model14\\\\\n",
+       "\t 15 & accuracy & multiclass & 0.3697072 & 5 & 0.01017029 & Preprocessor1\\_Model15\\\\\n",
+       "\t 16 & accuracy & multiclass & 0.3794935 & 5 & 0.01357445 & Preprocessor1\\_Model16\\\\\n",
+       "\t 17 & accuracy & multiclass & 0.3770868 & 5 & 0.01510417 & Preprocessor1\\_Model17\\\\\n",
+       "\t 18 & accuracy & multiclass & 0.3891863 & 5 & 0.01990557 & Preprocessor1\\_Model18\\\\\n",
        "\t 19 & accuracy & multiclass & 0.3916246 & 5 & 0.02010759 & Preprocessor1\\_Model19\\\\\n",
        "\t 20 & accuracy & multiclass & 0.3968738 & 5 & 0.01765057 & Preprocessor1\\_Model20\\\\\n",
        "\t 21 & accuracy & multiclass & 0.3893414 & 5 & 0.01604878 & Preprocessor1\\_Model21\\\\\n",
@@ -654,10 +775,24 @@
        "\n",
        "| neighbors &lt;dbl&gt; | .metric &lt;chr&gt; | .estimator &lt;chr&gt; | mean &lt;dbl&gt; | n &lt;dbl&gt; | std_err &lt;dbl&gt; | .config &lt;chr&gt; |\n",
        "|---|---|---|---|---|---|---|\n",
-       "| 1 | accuracy | multiclass | 0.7741329 | 5 | 0.0236634 | Preprocessor1_Model01 |\n",
-       "| 2 | accuracy | multiclass | 0.7741329 | 5 | 0.0236634 | Preprocessor1_Model02 |\n",
-       "| 3 | accuracy | multiclass | 0.6029462 | 5 | 0.0151404 | Preprocessor1_Model03 |\n",
-       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
+       "|  1 | accuracy | multiclass | 0.7741329 | 5 | 0.02366340 | Preprocessor1_Model01 |\n",
+       "|  2 | accuracy | multiclass | 0.7741329 | 5 | 0.02366340 | Preprocessor1_Model02 |\n",
+       "|  3 | accuracy | multiclass | 0.6029462 | 5 | 0.01514040 | Preprocessor1_Model03 |\n",
+       "|  4 | accuracy | multiclass | 0.5385281 | 5 | 0.02673251 | Preprocessor1_Model04 |\n",
+       "|  5 | accuracy | multiclass | 0.4887989 | 5 | 0.02443692 | Preprocessor1_Model05 |\n",
+       "|  6 | accuracy | multiclass | 0.4738275 | 5 | 0.02162800 | Preprocessor1_Model06 |\n",
+       "|  7 | accuracy | multiclass | 0.4439486 | 5 | 0.02178144 | Preprocessor1_Model07 |\n",
+       "|  8 | accuracy | multiclass | 0.4293183 | 5 | 0.02294124 | Preprocessor1_Model08 |\n",
+       "|  9 | accuracy | multiclass | 0.4121262 | 5 | 0.03267083 | Preprocessor1_Model09 |\n",
+       "| 10 | accuracy | multiclass | 0.3998106 | 5 | 0.03164645 | Preprocessor1_Model10 |\n",
+       "| 11 | accuracy | multiclass | 0.3947775 | 5 | 0.02715977 | Preprocessor1_Model11 |\n",
+       "| 12 | accuracy | multiclass | 0.3775205 | 5 | 0.03101980 | Preprocessor1_Model12 |\n",
+       "| 13 | accuracy | multiclass | 0.3600483 | 5 | 0.02919724 | Preprocessor1_Model13 |\n",
+       "| 14 | accuracy | multiclass | 0.3673307 | 5 | 0.01475960 | Preprocessor1_Model14 |\n",
+       "| 15 | accuracy | multiclass | 0.3697072 | 5 | 0.01017029 | Preprocessor1_Model15 |\n",
+       "| 16 | accuracy | multiclass | 0.3794935 | 5 | 0.01357445 | Preprocessor1_Model16 |\n",
+       "| 17 | accuracy | multiclass | 0.3770868 | 5 | 0.01510417 | Preprocessor1_Model17 |\n",
+       "| 18 | accuracy | multiclass | 0.3891863 | 5 | 0.01990557 | Preprocessor1_Model18 |\n",
        "| 19 | accuracy | multiclass | 0.3916246 | 5 | 0.02010759 | Preprocessor1_Model19 |\n",
        "| 20 | accuracy | multiclass | 0.3968738 | 5 | 0.01765057 | Preprocessor1_Model20 |\n",
        "| 21 | accuracy | multiclass | 0.3893414 | 5 | 0.01604878 | Preprocessor1_Model21 |\n",
@@ -665,10 +800,24 @@
       ],
       "text/plain": [
        "   neighbors .metric  .estimator mean      n std_err    .config              \n",
-       "1  1         accuracy multiclass 0.7741329 5 0.0236634  Preprocessor1_Model01\n",
-       "2  2         accuracy multiclass 0.7741329 5 0.0236634  Preprocessor1_Model02\n",
-       "3  3         accuracy multiclass 0.6029462 5 0.0151404  Preprocessor1_Model03\n",
-       "⋮  ⋮         ⋮        ⋮          ⋮         ⋮ ⋮          ⋮                    \n",
+       "1   1        accuracy multiclass 0.7741329 5 0.02366340 Preprocessor1_Model01\n",
+       "2   2        accuracy multiclass 0.7741329 5 0.02366340 Preprocessor1_Model02\n",
+       "3   3        accuracy multiclass 0.6029462 5 0.01514040 Preprocessor1_Model03\n",
+       "4   4        accuracy multiclass 0.5385281 5 0.02673251 Preprocessor1_Model04\n",
+       "5   5        accuracy multiclass 0.4887989 5 0.02443692 Preprocessor1_Model05\n",
+       "6   6        accuracy multiclass 0.4738275 5 0.02162800 Preprocessor1_Model06\n",
+       "7   7        accuracy multiclass 0.4439486 5 0.02178144 Preprocessor1_Model07\n",
+       "8   8        accuracy multiclass 0.4293183 5 0.02294124 Preprocessor1_Model08\n",
+       "9   9        accuracy multiclass 0.4121262 5 0.03267083 Preprocessor1_Model09\n",
+       "10 10        accuracy multiclass 0.3998106 5 0.03164645 Preprocessor1_Model10\n",
+       "11 11        accuracy multiclass 0.3947775 5 0.02715977 Preprocessor1_Model11\n",
+       "12 12        accuracy multiclass 0.3775205 5 0.03101980 Preprocessor1_Model12\n",
+       "13 13        accuracy multiclass 0.3600483 5 0.02919724 Preprocessor1_Model13\n",
+       "14 14        accuracy multiclass 0.3673307 5 0.01475960 Preprocessor1_Model14\n",
+       "15 15        accuracy multiclass 0.3697072 5 0.01017029 Preprocessor1_Model15\n",
+       "16 16        accuracy multiclass 0.3794935 5 0.01357445 Preprocessor1_Model16\n",
+       "17 17        accuracy multiclass 0.3770868 5 0.01510417 Preprocessor1_Model17\n",
+       "18 18        accuracy multiclass 0.3891863 5 0.01990557 Preprocessor1_Model18\n",
        "19 19        accuracy multiclass 0.3916246 5 0.02010759 Preprocessor1_Model19\n",
        "20 20        accuracy multiclass 0.3968738 5 0.01765057 Preprocessor1_Model20\n",
        "21 21        accuracy multiclass 0.3893414 5 0.01604878 Preprocessor1_Model21"
@@ -764,7 +913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 6,
    "metadata": {
     "tags": [
      "remove-input"
@@ -787,7 +936,61 @@
        "\t<tr><td>2</td><td>110</td><td>38</td><td>156</td><td>1</td></tr>\n",
        "\t<tr><td>1</td><td>115</td><td>38</td><td>128</td><td>1</td></tr>\n",
        "\t<tr><td>0</td><td>150</td><td>38</td><td>120</td><td>1</td></tr>\n",
+       "\t<tr><td>3</td><td>105</td><td>42</td><td>128</td><td>1</td></tr>\n",
+       "\t<tr><td>4</td><td>110</td><td>45</td><td>138</td><td>0</td></tr>\n",
+       "\t<tr><td>3</td><td>100</td><td>46</td><td>133</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>110</td><td>47</td><td>120</td><td>1</td></tr>\n",
+       "\t<tr><td>2</td><td>120</td><td>51</td><td>104</td><td>3</td></tr>\n",
+       "\t<tr><td>1</td><td>130</td><td>51</td><td>170</td><td>2</td></tr>\n",
+       "\t<tr><td>4</td><td> 95</td><td>52</td><td> 82</td><td>2</td></tr>\n",
+       "\t<tr><td>4</td><td>120</td><td>53</td><td> 95</td><td>3</td></tr>\n",
+       "\t<tr><td>2</td><td>130</td><td>53</td><td>120</td><td>0</td></tr>\n",
+       "\t<tr><td>2</td><td> 80</td><td>53</td><td>141</td><td>0</td></tr>\n",
+       "\t<tr><td>1</td><td>120</td><td>54</td><td>155</td><td>2</td></tr>\n",
+       "\t<tr><td>0</td><td>180</td><td>54</td><td>150</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>140</td><td>55</td><td>150</td><td>0</td></tr>\n",
+       "\t<tr><td>1</td><td>115</td><td>55</td><td>155</td><td>1</td></tr>\n",
+       "\t<tr><td>2</td><td>120</td><td>56</td><td> 97</td><td>0</td></tr>\n",
+       "\t<tr><td>2</td><td>155</td><td>56</td><td> 99</td><td>2</td></tr>\n",
+       "\t<tr><td>1</td><td>120</td><td>56</td><td>148</td><td>2</td></tr>\n",
+       "\t<tr><td>2</td><td>140</td><td>56</td><td>121</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>105</td><td>57</td><td>148</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>140</td><td>57</td><td>100</td><td>3</td></tr>\n",
+       "\t<tr><td>0</td><td>110</td><td>59</td><td> 94</td><td>3</td></tr>\n",
+       "\t<tr><td>2</td><td>160</td><td>60</td><td> 99</td><td>3</td></tr>\n",
+       "\t<tr><td>2</td><td>160</td><td>60</td><td>149</td><td>1</td></tr>\n",
+       "\t<tr><td>3</td><td>130</td><td>61</td><td>115</td><td>3</td></tr>\n",
+       "\t<tr><td>2</td><td>130</td><td>61</td><td> 77</td><td>3</td></tr>\n",
+       "\t<tr><td>0</td><td>150</td><td>61</td><td>117</td><td>2</td></tr>\n",
+       "\t<tr><td>2</td><td>150</td><td>63</td><td>154</td><td>3</td></tr>\n",
        "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
+       "\t<tr><td>0</td><td>114</td><td>51</td><td> 96</td><td>0</td></tr>\n",
+       "\t<tr><td>1</td><td>127</td><td>54</td><td>154</td><td>1</td></tr>\n",
+       "\t<tr><td>2</td><td>140</td><td>63</td><td>112</td><td>2</td></tr>\n",
+       "\t<tr><td>2</td><td>160</td><td>60</td><td>157</td><td>1</td></tr>\n",
+       "\t<tr><td>4</td><td>170</td><td>63</td><td> 84</td><td>4</td></tr>\n",
+       "\t<tr><td>0</td><td>126</td><td>63</td><td>120</td><td>0</td></tr>\n",
+       "\t<tr><td>0</td><td>152</td><td>60</td><td>118</td><td>0</td></tr>\n",
+       "\t<tr><td>1</td><td>120</td><td>64</td><td>106</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>120</td><td>56</td><td>120</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>124</td><td>56</td><td>161</td><td>0</td></tr>\n",
+       "\t<tr><td>1</td><td>126</td><td>53</td><td>106</td><td>1</td></tr>\n",
+       "\t<tr><td>4</td><td>170</td><td>56</td><td>123</td><td>4</td></tr>\n",
+       "\t<tr><td>2</td><td>140</td><td>69</td><td>118</td><td>2</td></tr>\n",
+       "\t<tr><td>3</td><td>136</td><td>54</td><td>140</td><td>3</td></tr>\n",
+       "\t<tr><td>3</td><td>120</td><td>72</td><td>102</td><td>3</td></tr>\n",
+       "\t<tr><td>1</td><td>142</td><td>60</td><td>110</td><td>2</td></tr>\n",
+       "\t<tr><td>2</td><td>146</td><td>61</td><td>148</td><td>2</td></tr>\n",
+       "\t<tr><td>1</td><td>158</td><td>62</td><td>112</td><td>1</td></tr>\n",
+       "\t<tr><td>1</td><td>102</td><td>48</td><td>110</td><td>1</td></tr>\n",
+       "\t<tr><td>0</td><td>150</td><td>55</td><td>150</td><td>0</td></tr>\n",
+       "\t<tr><td>4</td><td>104</td><td>76</td><td>120</td><td>4</td></tr>\n",
+       "\t<tr><td>0</td><td>120</td><td>62</td><td> 86</td><td>0</td></tr>\n",
+       "\t<tr><td>2</td><td>150</td><td>58</td><td>118</td><td>2</td></tr>\n",
+       "\t<tr><td>0</td><td>160</td><td>75</td><td>112</td><td>0</td></tr>\n",
+       "\t<tr><td>2</td><td>150</td><td>64</td><td>135</td><td>2</td></tr>\n",
+       "\t<tr><td>1</td><td>180</td><td>57</td><td>120</td><td>1</td></tr>\n",
+       "\t<tr><td>3</td><td>140</td><td>67</td><td>122</td><td>3</td></tr>\n",
        "\t<tr><td>2</td><td>130</td><td>64</td><td>130</td><td>2</td></tr>\n",
        "\t<tr><td>3</td><td>160</td><td>58</td><td>113</td><td>3</td></tr>\n",
        "\t<tr><td>2</td><td>150</td><td>58</td><td>118</td><td>2</td></tr>\n",
@@ -803,7 +1006,61 @@
        "\t 2 & 110 & 38 & 156 & 1\\\\\n",
        "\t 1 & 115 & 38 & 128 & 1\\\\\n",
        "\t 0 & 150 & 38 & 120 & 1\\\\\n",
+       "\t 3 & 105 & 42 & 128 & 1\\\\\n",
+       "\t 4 & 110 & 45 & 138 & 0\\\\\n",
+       "\t 3 & 100 & 46 & 133 & 1\\\\\n",
+       "\t 1 & 110 & 47 & 120 & 1\\\\\n",
+       "\t 2 & 120 & 51 & 104 & 3\\\\\n",
+       "\t 1 & 130 & 51 & 170 & 2\\\\\n",
+       "\t 4 &  95 & 52 &  82 & 2\\\\\n",
+       "\t 4 & 120 & 53 &  95 & 3\\\\\n",
+       "\t 2 & 130 & 53 & 120 & 0\\\\\n",
+       "\t 2 &  80 & 53 & 141 & 0\\\\\n",
+       "\t 1 & 120 & 54 & 155 & 2\\\\\n",
+       "\t 0 & 180 & 54 & 150 & 1\\\\\n",
+       "\t 1 & 140 & 55 & 150 & 0\\\\\n",
+       "\t 1 & 115 & 55 & 155 & 1\\\\\n",
+       "\t 2 & 120 & 56 &  97 & 0\\\\\n",
+       "\t 2 & 155 & 56 &  99 & 2\\\\\n",
+       "\t 1 & 120 & 56 & 148 & 2\\\\\n",
+       "\t 2 & 140 & 56 & 121 & 1\\\\\n",
+       "\t 1 & 105 & 57 & 148 & 1\\\\\n",
+       "\t 1 & 140 & 57 & 100 & 3\\\\\n",
+       "\t 0 & 110 & 59 &  94 & 3\\\\\n",
+       "\t 2 & 160 & 60 &  99 & 3\\\\\n",
+       "\t 2 & 160 & 60 & 149 & 1\\\\\n",
+       "\t 3 & 130 & 61 & 115 & 3\\\\\n",
+       "\t 2 & 130 & 61 &  77 & 3\\\\\n",
+       "\t 0 & 150 & 61 & 117 & 2\\\\\n",
+       "\t 2 & 150 & 63 & 154 & 3\\\\\n",
        "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
+       "\t 0 & 114 & 51 &  96 & 0\\\\\n",
+       "\t 1 & 127 & 54 & 154 & 1\\\\\n",
+       "\t 2 & 140 & 63 & 112 & 2\\\\\n",
+       "\t 2 & 160 & 60 & 157 & 1\\\\\n",
+       "\t 4 & 170 & 63 &  84 & 4\\\\\n",
+       "\t 0 & 126 & 63 & 120 & 0\\\\\n",
+       "\t 0 & 152 & 60 & 118 & 0\\\\\n",
+       "\t 1 & 120 & 64 & 106 & 1\\\\\n",
+       "\t 1 & 120 & 56 & 120 & 1\\\\\n",
+       "\t 1 & 124 & 56 & 161 & 0\\\\\n",
+       "\t 1 & 126 & 53 & 106 & 1\\\\\n",
+       "\t 4 & 170 & 56 & 123 & 4\\\\\n",
+       "\t 2 & 140 & 69 & 118 & 2\\\\\n",
+       "\t 3 & 136 & 54 & 140 & 3\\\\\n",
+       "\t 3 & 120 & 72 & 102 & 3\\\\\n",
+       "\t 1 & 142 & 60 & 110 & 2\\\\\n",
+       "\t 2 & 146 & 61 & 148 & 2\\\\\n",
+       "\t 1 & 158 & 62 & 112 & 1\\\\\n",
+       "\t 1 & 102 & 48 & 110 & 1\\\\\n",
+       "\t 0 & 150 & 55 & 150 & 0\\\\\n",
+       "\t 4 & 104 & 76 & 120 & 4\\\\\n",
+       "\t 0 & 120 & 62 &  86 & 0\\\\\n",
+       "\t 2 & 150 & 58 & 118 & 2\\\\\n",
+       "\t 0 & 160 & 75 & 112 & 0\\\\\n",
+       "\t 2 & 150 & 64 & 135 & 2\\\\\n",
+       "\t 1 & 180 & 57 & 120 & 1\\\\\n",
+       "\t 3 & 140 & 67 & 122 & 3\\\\\n",
        "\t 2 & 130 & 64 & 130 & 2\\\\\n",
        "\t 3 & 160 & 58 & 113 & 3\\\\\n",
        "\t 2 & 150 & 58 & 118 & 2\\\\\n",
@@ -818,7 +1075,61 @@
        "| 2 | 110 | 38 | 156 | 1 |\n",
        "| 1 | 115 | 38 | 128 | 1 |\n",
        "| 0 | 150 | 38 | 120 | 1 |\n",
+       "| 3 | 105 | 42 | 128 | 1 |\n",
+       "| 4 | 110 | 45 | 138 | 0 |\n",
+       "| 3 | 100 | 46 | 133 | 1 |\n",
+       "| 1 | 110 | 47 | 120 | 1 |\n",
+       "| 2 | 120 | 51 | 104 | 3 |\n",
+       "| 1 | 130 | 51 | 170 | 2 |\n",
+       "| 4 |  95 | 52 |  82 | 2 |\n",
+       "| 4 | 120 | 53 |  95 | 3 |\n",
+       "| 2 | 130 | 53 | 120 | 0 |\n",
+       "| 2 |  80 | 53 | 141 | 0 |\n",
+       "| 1 | 120 | 54 | 155 | 2 |\n",
+       "| 0 | 180 | 54 | 150 | 1 |\n",
+       "| 1 | 140 | 55 | 150 | 0 |\n",
+       "| 1 | 115 | 55 | 155 | 1 |\n",
+       "| 2 | 120 | 56 |  97 | 0 |\n",
+       "| 2 | 155 | 56 |  99 | 2 |\n",
+       "| 1 | 120 | 56 | 148 | 2 |\n",
+       "| 2 | 140 | 56 | 121 | 1 |\n",
+       "| 1 | 105 | 57 | 148 | 1 |\n",
+       "| 1 | 140 | 57 | 100 | 3 |\n",
+       "| 0 | 110 | 59 |  94 | 3 |\n",
+       "| 2 | 160 | 60 |  99 | 3 |\n",
+       "| 2 | 160 | 60 | 149 | 1 |\n",
+       "| 3 | 130 | 61 | 115 | 3 |\n",
+       "| 2 | 130 | 61 |  77 | 3 |\n",
+       "| 0 | 150 | 61 | 117 | 2 |\n",
+       "| 2 | 150 | 63 | 154 | 3 |\n",
        "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
+       "| 0 | 114 | 51 |  96 | 0 |\n",
+       "| 1 | 127 | 54 | 154 | 1 |\n",
+       "| 2 | 140 | 63 | 112 | 2 |\n",
+       "| 2 | 160 | 60 | 157 | 1 |\n",
+       "| 4 | 170 | 63 |  84 | 4 |\n",
+       "| 0 | 126 | 63 | 120 | 0 |\n",
+       "| 0 | 152 | 60 | 118 | 0 |\n",
+       "| 1 | 120 | 64 | 106 | 1 |\n",
+       "| 1 | 120 | 56 | 120 | 1 |\n",
+       "| 1 | 124 | 56 | 161 | 0 |\n",
+       "| 1 | 126 | 53 | 106 | 1 |\n",
+       "| 4 | 170 | 56 | 123 | 4 |\n",
+       "| 2 | 140 | 69 | 118 | 2 |\n",
+       "| 3 | 136 | 54 | 140 | 3 |\n",
+       "| 3 | 120 | 72 | 102 | 3 |\n",
+       "| 1 | 142 | 60 | 110 | 2 |\n",
+       "| 2 | 146 | 61 | 148 | 2 |\n",
+       "| 1 | 158 | 62 | 112 | 1 |\n",
+       "| 1 | 102 | 48 | 110 | 1 |\n",
+       "| 0 | 150 | 55 | 150 | 0 |\n",
+       "| 4 | 104 | 76 | 120 | 4 |\n",
+       "| 0 | 120 | 62 |  86 | 0 |\n",
+       "| 2 | 150 | 58 | 118 | 2 |\n",
+       "| 0 | 160 | 75 | 112 | 0 |\n",
+       "| 2 | 150 | 64 | 135 | 2 |\n",
+       "| 1 | 180 | 57 | 120 | 1 |\n",
+       "| 3 | 140 | 67 | 122 | 3 |\n",
        "| 2 | 130 | 64 | 130 | 2 |\n",
        "| 3 | 160 | 58 | 113 | 3 |\n",
        "| 2 | 150 | 58 | 118 | 2 |\n",
@@ -829,7 +1140,61 @@
        "1   2           110     38  156            1          \n",
        "2   1           115     38  128            1          \n",
        "3   0           150     38  120            1          \n",
+       "4   3           105     42  128            1          \n",
+       "5   4           110     45  138            0          \n",
+       "6   3           100     46  133            1          \n",
+       "7   1           110     47  120            1          \n",
+       "8   2           120     51  104            3          \n",
+       "9   1           130     51  170            2          \n",
+       "10  4            95     52   82            2          \n",
+       "11  4           120     53   95            3          \n",
+       "12  2           130     53  120            0          \n",
+       "13  2            80     53  141            0          \n",
+       "14  1           120     54  155            2          \n",
+       "15  0           180     54  150            1          \n",
+       "16  1           140     55  150            0          \n",
+       "17  1           115     55  155            1          \n",
+       "18  2           120     56   97            0          \n",
+       "19  2           155     56   99            2          \n",
+       "20  1           120     56  148            2          \n",
+       "21  2           140     56  121            1          \n",
+       "22  1           105     57  148            1          \n",
+       "23  1           140     57  100            3          \n",
+       "24  0           110     59   94            3          \n",
+       "25  2           160     60   99            3          \n",
+       "26  2           160     60  149            1          \n",
+       "27  3           130     61  115            3          \n",
+       "28  2           130     61   77            3          \n",
+       "29  0           150     61  117            2          \n",
+       "30  2           150     63  154            3          \n",
        "⋮   ⋮           ⋮       ⋮   ⋮              ⋮          \n",
+       "118 0           114     51   96            0          \n",
+       "119 1           127     54  154            1          \n",
+       "120 2           140     63  112            2          \n",
+       "121 2           160     60  157            1          \n",
+       "122 4           170     63   84            4          \n",
+       "123 0           126     63  120            0          \n",
+       "124 0           152     60  118            0          \n",
+       "125 1           120     64  106            1          \n",
+       "126 1           120     56  120            1          \n",
+       "127 1           124     56  161            0          \n",
+       "128 1           126     53  106            1          \n",
+       "129 4           170     56  123            4          \n",
+       "130 2           140     69  118            2          \n",
+       "131 3           136     54  140            3          \n",
+       "132 3           120     72  102            3          \n",
+       "133 1           142     60  110            2          \n",
+       "134 2           146     61  148            2          \n",
+       "135 1           158     62  112            1          \n",
+       "136 1           102     48  110            1          \n",
+       "137 0           150     55  150            0          \n",
+       "138 4           104     76  120            4          \n",
+       "139 0           120     62   86            0          \n",
+       "140 2           150     58  118            2          \n",
+       "141 0           160     75  112            0          \n",
+       "142 2           150     64  135            2          \n",
+       "143 1           180     57  120            1          \n",
+       "144 3           140     67  122            3          \n",
        "145 2           130     64  130            2          \n",
        "146 3           160     58  113            3          \n",
        "147 2           150     58  118            2          "
diff --git a/notebooks/analysis.ipynb b/notebooks/analysis.ipynb
index 563ee45..74bdb82 100644
--- a/notebooks/analysis.ipynb
+++ b/notebooks/analysis.ipynb
@@ -63,7 +63,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 27,
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "library(tidyverse)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
    "metadata": {
     "tags": [
      "remove-input"
@@ -149,6 +162,7 @@
     }
    ],
    "source": [
+    "\n",
     "heart_data <- read_csv('../data/processed/heart_data.csv', show_col_types = FALSE)\n",
     "head(heart_data)"
    ]