README.md

# Model description

This is a Decision tree model.

## Intended uses & limitations

This model is made for educational purposes and is not suitable for real world deployment due to biased predictions.

## Training Procedure

[More Information Needed]

### Hyperparameters

<details>
<summary> Click to expand </summary>

|      Hyperparameter      | Value |
| :----------------------: | :---: |
|        ccp_alpha         |  0.0  |

|       class_weight       |  None |
|        criterion         |  gini |
|        max_depth         |   3   |

|       max_features       |  None |
|      max_leaf_nodes      |  None |
|  min_impurity_decrease   |  0.0  |
|     min_samples_leaf     |   2   |
|    min_samples_split     |   2   |
| min_weight_fraction_leaf |  0.0  |

|      monotonic_cst       |  None |
|       random_state       |  100  |

|         splitter         |  best |



</details>



### Model Plot



<style>#sk-container-id-1 {/* Definition of color scheme common for light and dark mode */--sklearn-color-text: #000;--sklearn-color-text-muted: #666;--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-1 {color: var(--sklearn-color-text);

}#sk-container-id-1 pre {padding: 0;

}#sk-container-id-1 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-1 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-1 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-1 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-1 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-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;

}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;

}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;

}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;

}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;

}/* Serial-specific style estimator block */#sk-container-id-1 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-1 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-1 label.sk-toggleable__label {cursor: pointer;display: flex;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;align-items: start;justify-content: space-between;gap: 0.5em;

}#sk-container-id-1 label.sk-toggleable__label .caption {font-size: 0.6rem;font-weight: lighter;color: var(--sklearn-color-text-muted);

}#sk-container-id-1 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-1 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);

}/* Toggleable content - dropdown */#sk-container-id-1 div.sk-toggleable__content {display: none;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);

}#sk-container-id-1 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);

}#sk-container-id-1 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-1 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);

}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */display: block;width: 100%;overflow: visible;

}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";

}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-1 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-1 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-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);

}#sk-container-id-1 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-1 div.sk-label label.sk-toggleable__label,

#sk-container-id-1 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-1 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-1 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-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;

}#sk-container-id-1 div.sk-label-container {text-align: center;

}/* Estimator-specific */

#sk-container-id-1 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-1 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);

}/* on hover */

#sk-container-id-1 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);

}#sk-container-id-1 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: 0.5em;text-align: center;/* unfitted */border: var(--sklearn-color-unfitted-level-1) 1pt solid;color: var(--sklearn-color-unfitted-level-1);

}.sk-estimator-doc-link.fitted,

a:link.sk-estimator-doc-link.fitted,

a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);

}/* On hover */

div.sk-estimator:hover .sk-estimator-doc-link:hover,

.sk-estimator-doc-link:hover,

div.sk-label-container:hover .sk-estimator-doc-link:hover,

.sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;

}div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,

.sk-estimator-doc-link.fitted:hover,

div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,

.sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none;

}/* Span, style for the box shown on hovering the info icon */

.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-1 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-1 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-1 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-1 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);

}.estimator-table summary {padding: .5rem;font-family: monospace;cursor: pointer;

}.estimator-table details[open] {padding-left: 0.1rem;padding-right: 0.1rem;padding-bottom: 0.3rem;

}.estimator-table .parameters-table {margin-left: auto !important;margin-right: auto !important;

}.estimator-table .parameters-table tr:nth-child(odd) {background-color: #fff;

}.estimator-table .parameters-table tr:nth-child(even) {background-color: #f6f6f6;

}.estimator-table .parameters-table tr:hover {background-color: #e0e0e0;

}.estimator-table table td {border: 1px solid rgba(106, 105, 104, 0.232);

}.user-set td {color:rgb(255, 94, 0);text-align: left;

}.user-set td.value pre {color:rgb(255, 94, 0) !important;background-color: transparent !important;

}.default td {color: black;text-align: left;

}.user-set td i,

.default td i {color: black;

}.copy-paste-icon {background-image: url(data:image/svg+xml;base64,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);background-repeat: no-repeat;background-size: 14px 14px;background-position: 0;display: inline-block;width: 14px;height: 14px;cursor: pointer;

}

</style><body><div id="sk-container-id-1" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>DecisionTreeClassifier(max_depth=3, min_samples_leaf=2, random_state=100)</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"><div class="sk-estimator  sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label  sk-toggleable__label-arrow"><div><div>DecisionTreeClassifier</div></div><div><a class="sk-estimator-doc-link " rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.7/modules/generated/sklearn.tree.DecisionTreeClassifier.html">?<span>Documentation for DecisionTreeClassifier</span></a><span class="sk-estimator-doc-link ">i<span>Not fitted</span></span></div></label><div class="sk-toggleable__content " data-param-prefix=""><div class="estimator-table"><details><summary>Parameters</summary><table class="parameters-table"><tbody><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('criterion',this.parentElement.nextElementSibling)"></i></td><td class="param">criterion&nbsp;</td><td class="value">&#x27;gini&#x27;</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('splitter',this.parentElement.nextElementSibling)"></i></td><td class="param">splitter&nbsp;</td><td class="value">&#x27;best&#x27;</td></tr><tr class="user-set"><td><i class="copy-paste-icon"onclick="copyToClipboard('max_depth',this.parentElement.nextElementSibling)"></i></td><td class="param">max_depth&nbsp;</td><td class="value">3</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('min_samples_split',this.parentElement.nextElementSibling)"></i></td><td class="param">min_samples_split&nbsp;</td><td class="value">2</td></tr><tr class="user-set"><td><i class="copy-paste-icon"onclick="copyToClipboard('min_samples_leaf',this.parentElement.nextElementSibling)"></i></td><td class="param">min_samples_leaf&nbsp;</td><td class="value">2</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('min_weight_fraction_leaf',this.parentElement.nextElementSibling)"></i></td><td class="param">min_weight_fraction_leaf&nbsp;</td><td class="value">0.0</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('max_features',this.parentElement.nextElementSibling)"></i></td><td class="param">max_features&nbsp;</td><td class="value">None</td></tr><tr class="user-set"><td><i class="copy-paste-icon"onclick="copyToClipboard('random_state',this.parentElement.nextElementSibling)"></i></td><td class="param">random_state&nbsp;</td><td class="value">100</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('max_leaf_nodes',this.parentElement.nextElementSibling)"></i></td><td class="param">max_leaf_nodes&nbsp;</td><td class="value">None</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('min_impurity_decrease',this.parentElement.nextElementSibling)"></i></td><td class="param">min_impurity_decrease&nbsp;</td><td class="value">0.0</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('class_weight',this.parentElement.nextElementSibling)"></i></td><td class="param">class_weight&nbsp;</td><td class="value">None</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('ccp_alpha',this.parentElement.nextElementSibling)"></i></td><td class="param">ccp_alpha&nbsp;</td><td class="value">0.0</td></tr><tr class="default"><td><i class="copy-paste-icon"onclick="copyToClipboard('monotonic_cst',this.parentElement.nextElementSibling)"></i></td><td class="param">monotonic_cst&nbsp;</td><td class="value">None</td></tr></tbody></table></details></div></div></div></div></div></div><script>function copyToClipboard(text, element) {// Get the parameter prefix from the closest toggleable contentconst toggleableContent = element.closest('.sk-toggleable__content');const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;const originalStyle = element.style;const computedStyle = window.getComputedStyle(element);const originalWidth = computedStyle.width;const originalHTML = element.innerHTML.replace('Copied!', '');navigator.clipboard.writeText(fullParamName).then(() => {element.style.width = originalWidth;element.style.color = 'green';element.innerHTML = "Copied!";setTimeout(() => {element.innerHTML = originalHTML;element.style = originalStyle;}, 2000);}).catch(err => {console.error('Failed to copy:', err);element.style.color = 'red';element.innerHTML = "Failed!";setTimeout(() => {element.innerHTML = originalHTML;element.style = originalStyle;}, 2000);});return false;

}document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {const toggleableContent = element.closest('.sk-toggleable__content');const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';const paramName = element.parentElement.nextElementSibling.textContent.trim();const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;element.setAttribute('title', fullParamName);

});

</script></body>



## Evaluation Results



[More Information Needed]



# How to Get Started with the Model



[More Information Needed]



# Model Card Authors



Richard S. Montgomery III



# Model Card Contact



You can contact the model card authors through following channels:

[More Information Needed]



# Citation



Creater: Marzia Ahmed

ahmed.marzia32@gmail.com

Daffodil International University





# Intended uses & limitations



This model is made for educational purposes and is not suitable for real world deployment due to biased predictions.



# Features



SystolicBP 

DiastolicBP

BS

BodyTemp

HeartRate

RiskLevel





# Hyperparameters



max_depth: 3

sin_samples_leaf: 2

random_state: 100





# Evaluation Results



Accuracy: 0.65

precision_avg: 0.68

recall_avg: 0.67