pushing files to the repo from the example!

NYC_SQF_ARR_KNN.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:885c809bd65745845aa2c3f00667e2db70ce4d7fc6280a29612418fcdd665668
-size 1269275
+oid sha256:9ca9f80848f61047846b035af2909098a3e6f60891bf57b2455546b6d97a9009
+size 4092050

README.md

@@ -8,26 +8,98 @@ model_format: pickle
 model_file: NYC_SQF_ARR_KNN.pkl
 widget:
 - structuredData:
-    ASK_FOR_CONSENT_FLG:
+    ASK_FOR_CONSENT_FLG_(null):
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@@ -43,39 +115,147 @@ widget:
     SEARCHED_FLAG:
     - 0
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     STOP_LOCATION_PRECINCT:
-    - 115
-    - 83
-    - 45
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     SUSPECT_REPORTED_AGE:
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-    SUSPECT_SEX:
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+    SUSPECT_SEX_(null):
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 ---
 
 # Model description
@@ -118,57 +298,57 @@ widget:
 
 ### Model Plot
 
-<style>#sk-container-id-5 {/* Definition of color scheme common for light and dark mode */--sklearn-color-text: black;--sklearn-color-line: gray;/* Definition of color scheme for unfitted estimators */--sklearn-color-unfitted-level-0: #fff5e6;--sklearn-color-unfitted-level-1: #f6e4d2;--sklearn-color-unfitted-level-2: #ffe0b3;--sklearn-color-unfitted-level-3: chocolate;/* Definition of color scheme for fitted estimators */--sklearn-color-fitted-level-0: #f0f8ff;--sklearn-color-fitted-level-1: #d4ebff;--sklearn-color-fitted-level-2: #b3dbfd;--sklearn-color-fitted-level-3: cornflowerblue;/* Specific color for light theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-icon: #696969;@media (prefers-color-scheme: dark) {/* Redefinition of color scheme for dark theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-icon: #878787;}
-}#sk-container-id-5 {color: var(--sklearn-color-text);
-}#sk-container-id-5 pre {padding: 0;
-}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;
-}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed var(--sklearn-color-line);margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: var(--sklearn-color-background);
-}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }`but bootstrap.min.css set `[hidden] { display: none !important; }`so we also need the `!important` here to be able to override thedefault hidden behavior on the sphinx rendered scikit-learn.org.See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;
-}#sk-container-id-5 div.sk-text-repr-fallback {display: none;
+<style>#sk-container-id-2 {/* Definition of color scheme common for light and dark mode */--sklearn-color-text: black;--sklearn-color-line: gray;/* Definition of color scheme for unfitted estimators */--sklearn-color-unfitted-level-0: #fff5e6;--sklearn-color-unfitted-level-1: #f6e4d2;--sklearn-color-unfitted-level-2: #ffe0b3;--sklearn-color-unfitted-level-3: chocolate;/* Definition of color scheme for fitted estimators */--sklearn-color-fitted-level-0: #f0f8ff;--sklearn-color-fitted-level-1: #d4ebff;--sklearn-color-fitted-level-2: #b3dbfd;--sklearn-color-fitted-level-3: cornflowerblue;/* Specific color for light theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-icon: #696969;@media (prefers-color-scheme: dark) {/* Redefinition of color scheme for dark theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-icon: #878787;}
+}#sk-container-id-2 {color: var(--sklearn-color-text);
+}#sk-container-id-2 pre {padding: 0;
+}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;
+}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed var(--sklearn-color-line);margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: var(--sklearn-color-background);
+}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }`but bootstrap.min.css set `[hidden] { display: none !important; }`so we also need the `!important` here to be able to override thedefault hidden behavior on the sphinx rendered scikit-learn.org.See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;
+}#sk-container-id-2 div.sk-text-repr-fallback {display: none;
 }div.sk-parallel-item,
 div.sk-serial,
 div.sk-item {/* draw centered vertical line to link estimators */background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));background-size: 2px 100%;background-repeat: no-repeat;background-position: center center;
-}/* Parallel-specific style estimator block */#sk-container-id-5 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
-}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
-}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;
-}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
-}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
-}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;
-}/* Serial-specific style estimator block */#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
+}/* Parallel-specific style estimator block */#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
+}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
+}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;
+}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
+}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
+}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;
+}/* Serial-specific style estimator block */#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
 }/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
 clickable and can be expanded/collapsed.
 - Pipeline and ColumnTransformer use this feature and define the default style
 - Estimators will overwrite some part of the style using the `sk-estimator` class
-*//* Pipeline and ColumnTransformer style (default) */#sk-container-id-5 div.sk-toggleable {/* Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer */background-color: var(--sklearn-color-background);
+*//* Pipeline and ColumnTransformer style (default) */#sk-container-id-2 div.sk-toggleable {/* Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer */background-color: var(--sklearn-color-background);
 }/* Toggleable label */
-#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;
-}#sk-container-id-5 label.sk-toggleable__label-arrow:before {/* Arrow on the left of the label */content: "▸";float: left;margin-right: 0.25em;color: var(--sklearn-color-icon);
-}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
-}/* Toggleable content - dropdown */#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
-}#sk-container-id-5 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
-}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;border-radius: 0.25em;color: var(--sklearn-color-text);/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
-}#sk-container-id-5 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
-}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto;
-}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
-}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
-}#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
+#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;
+}#sk-container-id-2 label.sk-toggleable__label-arrow:before {/* Arrow on the left of the label */content: "▸";float: left;margin-right: 0.25em;color: var(--sklearn-color-icon);
+}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
+}/* Toggleable content - dropdown */#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-2 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
+}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;border-radius: 0.25em;color: var(--sklearn-color-text);/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-2 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
+}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto;
+}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
+}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
 }/* Estimator-specific style *//* Colorize estimator box */
-#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
-}#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
-}#sk-container-id-5 div.sk-label label.sk-toggleable__label,
-#sk-container-id-5 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
+}#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
 }/* On hover, darken the color of the background */
-#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
 }/* Label box, darken color on hover, fitted */
-#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
-}/* Estimator label */#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
-}#sk-container-id-5 div.sk-label-container {text-align: center;
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
+}/* Estimator label */#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
+}#sk-container-id-2 div.sk-label-container {text-align: center;
 }/* Estimator-specific */
-#sk-container-id-5 div.sk-estimator {font-family: monospace;border: 1px dotted var(--sklearn-color-border-box);border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
-}#sk-container-id-5 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
+#sk-container-id-2 div.sk-estimator {font-family: monospace;border: 1px dotted var(--sklearn-color-border-box);border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
+}#sk-container-id-2 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
 }/* on hover */
-#sk-container-id-5 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
-}#sk-container-id-5 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
+#sk-container-id-2 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
+}#sk-container-id-2 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
 }/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
 a:link.sk-estimator-doc-link,
 a:visited.sk-estimator-doc-link {float: right;font-size: smaller;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1em;height: 1em;width: 1em;text-decoration: none !important;margin-left: 1ex;/* unfitted */border: var(--sklearn-color-unfitted-level-1) 1pt solid;color: var(--sklearn-color-unfitted-level-1);
@@ -188,22 +368,22 @@ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
 .sk-estimator-doc-link span {display: none;z-index: 9999;position: relative;font-weight: normal;right: .2ex;padding: .5ex;margin: .5ex;width: min-content;min-width: 20ex;max-width: 50ex;color: var(--sklearn-color-text);box-shadow: 2pt 2pt 4pt #999;/* unfitted */background: var(--sklearn-color-unfitted-level-0);border: .5pt solid var(--sklearn-color-unfitted-level-3);
 }.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
 }.sk-estimator-doc-link:hover span {display: block;
-}/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-5 a.estimator_doc_link {float: right;font-size: 1rem;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1rem;height: 1rem;width: 1rem;text-decoration: none;/* unfitted */color: var(--sklearn-color-unfitted-level-1);border: var(--sklearn-color-unfitted-level-1) 1pt solid;
-}#sk-container-id-5 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
+}/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-2 a.estimator_doc_link {float: right;font-size: 1rem;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1rem;height: 1rem;width: 1rem;text-decoration: none;/* unfitted */color: var(--sklearn-color-unfitted-level-1);border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}#sk-container-id-2 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
 }/* On hover */
-#sk-container-id-5 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
-}#sk-container-id-5 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
+#sk-container-id-2 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
+}#sk-container-id-2 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
 }
-</style><div id="sk-container-id-5" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;scaler&#x27;, MinMaxScaler()),(&#x27;knn&#x27;, KNeighborsClassifier(n_neighbors=15))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-13" type="checkbox" ><label for="sk-estimator-id-13" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;Pipeline<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.pipeline.Pipeline.html">?<span>Documentation for Pipeline</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Pipeline(steps=[(&#x27;scaler&#x27;, MinMaxScaler()),(&#x27;knn&#x27;, KNeighborsClassifier(n_neighbors=15))])</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-14" type="checkbox" ><label for="sk-estimator-id-14" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;MinMaxScaler<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.MinMaxScaler.html">?<span>Documentation for MinMaxScaler</span></a></label><div class="sk-toggleable__content fitted"><pre>MinMaxScaler()</pre></div> </div></div><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-15" type="checkbox" ><label for="sk-estimator-id-15" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;KNeighborsClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.neighbors.KNeighborsClassifier.html">?<span>Documentation for KNeighborsClassifier</span></a></label><div class="sk-toggleable__content fitted"><pre>KNeighborsClassifier(n_neighbors=15)</pre></div> </div></div></div></div></div></div>
+</style><div id="sk-container-id-2" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[(&#x27;scaler&#x27;, MinMaxScaler()),(&#x27;knn&#x27;, KNeighborsClassifier(n_neighbors=15))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;Pipeline<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.pipeline.Pipeline.html">?<span>Documentation for Pipeline</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>Pipeline(steps=[(&#x27;scaler&#x27;, MinMaxScaler()),(&#x27;knn&#x27;, KNeighborsClassifier(n_neighbors=15))])</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;MinMaxScaler<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.MinMaxScaler.html">?<span>Documentation for MinMaxScaler</span></a></label><div class="sk-toggleable__content fitted"><pre>MinMaxScaler()</pre></div> </div></div><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-6" type="checkbox" ><label for="sk-estimator-id-6" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;KNeighborsClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.neighbors.KNeighborsClassifier.html">?<span>Documentation for KNeighborsClassifier</span></a></label><div class="sk-toggleable__content fitted"><pre>KNeighborsClassifier(n_neighbors=15)</pre></div> </div></div></div></div></div></div>
 
 ## Evaluation Results
 
 | Metric    |    Value |
 |-----------|----------|
-| accuracy  | 0.854806 |
-| f1 score  | 0.740402 |
-| precision | 0.795157 |
-| recall    | 0.692702 |
+| accuracy  | 0.821006 |
+| f1 score  | 0.659874 |
+| precision | 0.847473 |
+| recall    | 0.540276 |
 
 # How to Get Started with the Model
 

config.json

@@ -5,48 +5,183 @@
             "SEARCHED_FLAG",
             "STOP_LOCATION_PRECINCT",
             "SUSPECT_REPORTED_AGE",
-            "SUSPECT_SEX",
-            "SUSPECT_RACE_DESCRIPTION",
             "SUSPECT_HEIGHT",
             "SUSPECT_WEIGHT",
-            "SUSPECT_BODY_BUILD_TYPE",
             "OTHER_CONTRABAND_FLAG",
             "FIREARM_FLAG",
             "KNIFE_CUTTER_FLAG",
             "OTHER_WEAPON_FLAG",
-            "ASK_FOR_CONSENT_FLG",
-            "CONSENT_GIVEN_FLG",
-            "ISSUING_OFFICER_RANK",
-            "SUPERVISING_OFFICER_RANK"
+            "SUSPECT_BODY_BUILD_TYPE_(null)",
+            "SUSPECT_BODY_BUILD_TYPE_HEA",
+            "SUSPECT_BODY_BUILD_TYPE_MED",
+            "SUSPECT_BODY_BUILD_TYPE_THN",
+            "SUSPECT_BODY_BUILD_TYPE_U",
+            "SUSPECT_BODY_BUILD_TYPE_XXX",
+            "ISSUING_OFFICER_RANK_CPT",
+            "ISSUING_OFFICER_RANK_DI",
+            "ISSUING_OFFICER_RANK_DT1",
+            "ISSUING_OFFICER_RANK_DT2",
+            "ISSUING_OFFICER_RANK_DT3",
+            "ISSUING_OFFICER_RANK_DTS",
+            "ISSUING_OFFICER_RANK_INS",
+            "ISSUING_OFFICER_RANK_LSA",
+            "ISSUING_OFFICER_RANK_LT",
+            "ISSUING_OFFICER_RANK_PO",
+            "ISSUING_OFFICER_RANK_POF",
+            "ISSUING_OFFICER_RANK_POM",
+            "ISSUING_OFFICER_RANK_SDS",
+            "ISSUING_OFFICER_RANK_SGT",
+            "ISSUING_OFFICER_RANK_SSA",
+            "SUPERVISING_OFFICER_RANK_CPT",
+            "SUPERVISING_OFFICER_RANK_DI",
+            "SUPERVISING_OFFICER_RANK_DT3",
+            "SUPERVISING_OFFICER_RANK_DTS",
+            "SUPERVISING_OFFICER_RANK_INS",
+            "SUPERVISING_OFFICER_RANK_LCD",
+            "SUPERVISING_OFFICER_RANK_LSA",
+            "SUPERVISING_OFFICER_RANK_LT",
+            "SUPERVISING_OFFICER_RANK_PO",
+            "SUPERVISING_OFFICER_RANK_POF",
+            "SUPERVISING_OFFICER_RANK_POM",
+            "SUPERVISING_OFFICER_RANK_SDS",
+            "SUPERVISING_OFFICER_RANK_SGT",
+            "SUPERVISING_OFFICER_RANK_SSA",
+            "ASK_FOR_CONSENT_FLG_(null)",
+            "ASK_FOR_CONSENT_FLG_N",
+            "ASK_FOR_CONSENT_FLG_Y",
+            "CONSENT_GIVEN_FLG_(null)",
+            "CONSENT_GIVEN_FLG_N",
+            "CONSENT_GIVEN_FLG_Y",
+            "SUSPECT_RACE_DESCRIPTION_(null)",
+            "SUSPECT_RACE_DESCRIPTION_AMERICAN INDIAN/ALASKAN NATIVE",
+            "SUSPECT_RACE_DESCRIPTION_ASIAN / PACIFIC ISLANDER",
+            "SUSPECT_RACE_DESCRIPTION_BLACK",
+            "SUSPECT_RACE_DESCRIPTION_BLACK HISPANIC",
+            "SUSPECT_RACE_DESCRIPTION_MIDDLE EASTERN/SOUTHWEST ASIAN",
+            "SUSPECT_RACE_DESCRIPTION_WHITE",
+            "SUSPECT_RACE_DESCRIPTION_WHITE HISPANIC",
+            "SUSPECT_SEX_(null)",
+            "SUSPECT_SEX_FEMALE",
+            "SUSPECT_SEX_MALE"
         ],
         "environment": [
             "scikit-learn=1.5.2"
         ],
         "example_input": {
-            "ASK_FOR_CONSENT_FLG": [
+            "ASK_FOR_CONSENT_FLG_(null)": [
+                0,
+                0,
+                0
+            ],
+            "ASK_FOR_CONSENT_FLG_N": [
                 1,
                 1,
                 1
             ],
-            "CONSENT_GIVEN_FLG": [
+            "ASK_FOR_CONSENT_FLG_Y": [
+                0,
+                0,
+                0
+            ],
+            "CONSENT_GIVEN_FLG_(null)": [
+                0,
                 1,
+                0
+            ],
+            "CONSENT_GIVEN_FLG_N": [
                 1,
+                0,
                 1
             ],
+            "CONSENT_GIVEN_FLG_Y": [
+                0,
+                0,
+                0
+            ],
             "FIREARM_FLAG": [
                 0,
                 0,
                 0
             ],
             "FRISKED_FLAG": [
+                0,
+                1,
+                1
+            ],
+            "ISSUING_OFFICER_RANK_CPT": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_DI": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_DT1": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_DT2": [
                 0,
                 0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_DT3": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_DTS": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_INS": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_LSA": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_LT": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_PO": [
+                1,
+                1,
                 1
             ],
-            "ISSUING_OFFICER_RANK": [
-                11,
-                9,
-                9
+            "ISSUING_OFFICER_RANK_POF": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_POM": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_SDS": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_SGT": [
+                0,
+                0,
+                0
+            ],
+            "ISSUING_OFFICER_RANK_SSA": [
+                0,
+                0,
+                0
             ],
             "KNIFE_CUTTER_FLAG": [
                 0,
@@ -66,47 +201,182 @@
             "SEARCHED_FLAG": [
                 0,
                 0,
-                0
+                1
             ],
             "STOP_LOCATION_PRECINCT": [
-                115,
-                83,
-                45
+                20,
+                23,
+                46
+            ],
+            "SUPERVISING_OFFICER_RANK_CPT": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_DI": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_DT3": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_DTS": [
+                0,
+                0,
+                0
             ],
-            "SUPERVISING_OFFICER_RANK": [
-                12,
-                12,
-                12
+            "SUPERVISING_OFFICER_RANK_INS": [
+                0,
+                0,
+                0
             ],
-            "SUSPECT_BODY_BUILD_TYPE": [
-                3,
-                3,
-                2
+            "SUPERVISING_OFFICER_RANK_LCD": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_LSA": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_LT": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_PO": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_POF": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_POM": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_SDS": [
+                0,
+                0,
+                0
+            ],
+            "SUPERVISING_OFFICER_RANK_SGT": [
+                1,
+                1,
+                1
+            ],
+            "SUPERVISING_OFFICER_RANK_SSA": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_(null)": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_HEA": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_MED": [
+                0,
+                1,
+                1
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_THN": [
+                1,
+                0,
+                0
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_U": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_BODY_BUILD_TYPE_XXX": [
+                0,
+                0,
+                0
             ],
             "SUSPECT_HEIGHT": [
-                6.0,
                 5.7,
-                6.1
+                5.9,
+                5.1
             ],
-            "SUSPECT_RACE_DESCRIPTION": [
-                5,
-                4,
-                7
+            "SUSPECT_RACE_DESCRIPTION_(null)": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_AMERICAN INDIAN/ALASKAN NATIVE": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_ASIAN / PACIFIC ISLANDER": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_BLACK": [
+                0,
+                0,
+                1
+            ],
+            "SUSPECT_RACE_DESCRIPTION_BLACK HISPANIC": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_MIDDLE EASTERN/SOUTHWEST ASIAN": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_WHITE": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_RACE_DESCRIPTION_WHITE HISPANIC": [
+                1,
+                1,
+                0
             ],
             "SUSPECT_REPORTED_AGE": [
-                26.0,
-                41.0,
-                27.757022471910112
+                30.0,
+                28.0,
+                24.0
+            ],
+            "SUSPECT_SEX_(null)": [
+                0,
+                0,
+                0
+            ],
+            "SUSPECT_SEX_FEMALE": [
+                0,
+                0,
+                0
             ],
-            "SUSPECT_SEX": [
-                2,
-                2,
-                2
+            "SUSPECT_SEX_MALE": [
+                1,
+                1,
+                1
             ],
             "SUSPECT_WEIGHT": [
-                150.0,
-                150.0,
-                200.0
+                160.0,
+                175.0,
+                210.0
             ]
         },
         "model": {