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<div class="colorscripter-code" style="color:#010101;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important; position:relative !important;overflow:auto"><table class="colorscripter-code-table" style="margin:0;padding:0;border:none;background-color:#fafafa;border-radius:4px;" cellspacing="0" cellpadding="0"><tr><td style="padding:6px;border-right:2px solid #e5e5e5"><div style="margin:0;padding:0;word-break:normal;text-align:right;color:#666;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important;line-height:130%"><div style="line-height:130%">1</div><div style="line-height:130%">2</div><div style="line-height:130%">3</div><div style="line-height:130%">4</div><div style="line-height:130%">5</div><div style="line-height:130%">6</div><div style="line-height:130%">7</div><div style="line-height:130%">8</div><div style="line-height:130%">9</div><div style="line-height:130%">10</div><div style="line-height:130%">11</div><div style="line-height:130%">12</div><div style="line-height:130%">13</div><div style="line-height:130%">14</div><div style="line-height:130%">15</div><div style="line-height:130%">16</div><div style="line-height:130%">17</div><div style="line-height:130%">18</div><div style="line-height:130%">19</div><div style="line-height:130%">20</div><div style="line-height:130%">21</div><div style="line-height:130%">22</div><div style="line-height:130%">23</div><div style="line-height:130%">24</div></div></td><td style="padding:6px 0;text-align:left"><div style="margin:0;padding:0;color:#010101;font-family:Consolas, 'Liberation Mono', Menlo, Courier, monospace !important;line-height:130%"><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">from</span> sklearn.datasets <span style="color:#a71d5d">import</span> load_iris </div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">from</span> sklearn.model_selection <span style="color:#a71d5d">import</span> train_test_split </div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">from</span> sklearn.neighbors <span style="color:#a71d5d">import</span> KNeighborsClassifier </div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">from</span> sklearn <span style="color:#a71d5d">import</span> metrics </div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%">iris <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> load_iris()</div><div style="padding:0 6px; white-space:pre; line-height:130%">num_neigh <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> <span style="color:#0099cc">5</span></div><div style="padding:0 6px; white-space:pre; line-height:130%">knn <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> KNeighborsClassifier(n_neighbors<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span>num_neigh) </div><div style="padding:0 6px; white-space:pre; line-height:130%">knn.fit(iris.data, iris.target)</div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%">y_pred_all <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> knn.predict(iris.data)</div><div style="padding:0 6px; white-space:pre; line-height:130%">scores <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> metrics.accuracy_score(iris.target, y_pred_all)</div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#066de2">print</span>(<span style="color:#63a35c">'n_neighbors가 {0:d}일때 정확도: {1:.3f}'</span>.<span style="color:#066de2">format</span>(num_neigh, scores))</div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">import</span> matplotlib.pyplot <span style="color:#a71d5d">as</span> plt</div><div style="padding:0 6px; white-space:pre; line-height:130%">plt.hist2d(iris.target, y_pred_all, bins<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span>(<span style="color:#0099cc">3</span>,<span style="color:#0099cc">3</span>), cmap<span style="color:#0086b3"></span><span style="color:#a71d5d">=</span>plt.cm.jet)</div><div style="padding:0 6px; white-space:pre; line-height:130%">plt.show()</div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#a71d5d">from</span> sklearn.metrics <span style="color:#a71d5d">import</span> confusion_matrix</div><div style="padding:0 6px; white-space:pre; line-height:130%">conf_mat <span style="color:#0086b3"></span><span style="color:#a71d5d">=</span> confusion_matrix(iris.target, y_pred_all)</div><div style="padding:0 6px; white-space:pre; line-height:130%"><span style="color:#066de2">print</span>(conf_mat)</div><div style="padding:0 6px; white-space:pre; line-height:130%"> </div><div style="padding:0 6px; white-space:pre; line-height:130%">plt.matshow(conf_mat)</div><div style="padding:0 6px; white-space:pre; line-height:130%">plt.show()</div></div><div style="text-align:right;margin-top:-13px;margin-right:5px;font-size:9px;font-style:italic"><a href="http://colorscripter.com/info#e" target="_blank" style="color:#e5e5e5text-decoration:none">Colored by Color Scripter</a></div></td><td style="vertical-align:bottom;padding:0 2px 4px 0"><a href="http://colorscripter.com/info#e" target="_blank" style="text-decoration:none;color:white"><span style="font-size:9px;word-break:normal;background-color:#e5e5e5;color:white;border-radius:10px;padding:1px">cs</span></a></td></tr></table></div>
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