pppereira3
commited on
update model
Browse files- README.md +231 -0
- config.json +112 -0
- hw4_mar25_classifier_mean.pkl +3 -0
README.md
ADDED
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1 |
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---
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library_name: sklearn
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tags:
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- sklearn
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- skops
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- tabular-classification
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model_format: pickle
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model_file: hw4_mar25_classifier_mean.pkl
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widget:
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- structuredData:
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Age:
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- 30.0
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- 39.0
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- 34.0
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Contract Length_Annual:
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- 0.4020390042192999
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- 1.0
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- 0.0
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+
Contract Length_Monthly:
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- 0.0
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- 0.1485504663266166
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- 0.1485504663266166
|
23 |
+
Contract Length_Quarterly:
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- 0.0
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- 0.0
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- 1.0
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+
CustomerID:
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- 169896.52155342826
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- 169896.52155342826
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- 211059.0
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+
Gender_Female:
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- 0.0
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33 |
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- 0.4324749985417166
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- 0.0
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+
Gender_Male:
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- 1.0
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- 0.0
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- 1.0
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Last Interaction:
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- 20.0
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- 9.0
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- 12.0
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Payment Delay:
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- 13.235127129903884
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- 13.235127129903884
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+
- 13.235127129903884
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+
Subscription Type_Basic:
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- 1.0
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- 1.0
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- 0.0
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+
Subscription Type_Premium:
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- 0.0
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53 |
+
- 0.0
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- 0.0
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Subscription Type_Standard:
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- 0.33845460849952363
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+
- 0.33845460849952363
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+
- 0.33845460849952363
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+
Support Calls:
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- 0.0
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- 0.0
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- 8.0
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Tenure:
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- 43.0
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- 31.0
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- 17.0
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Total Spend:
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- 914.15
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- 657.3
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- 511.21
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Usage Frequency:
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- 23.0
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- 28.0
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- 24.0
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---
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# Model description
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[More Information Needed]
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## Intended uses & limitations
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[More Information Needed]
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## Training Procedure
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[More Information Needed]
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### Hyperparameters
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<details>
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<summary> Click to expand </summary>
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| Hyperparameter | Value |
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|--------------------------|---------|
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| bootstrap | True |
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| ccp_alpha | 0.0 |
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| class_weight | |
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| criterion | gini |
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| max_depth | |
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| max_features | sqrt |
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| max_leaf_nodes | |
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| max_samples | |
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| min_impurity_decrease | 0.0 |
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| min_samples_leaf | 1 |
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| min_samples_split | 2 |
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| min_weight_fraction_leaf | 0.0 |
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| monotonic_cst | |
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| n_estimators | 100 |
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| n_jobs | |
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| oob_score | False |
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| random_state | 42 |
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| verbose | 0 |
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| warm_start | False |
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</details>
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### Model Plot
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<style>#sk-container-id-3 {/* 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;}
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}#sk-container-id-3 {color: var(--sklearn-color-text);
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}#sk-container-id-3 pre {padding: 0;
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}#sk-container-id-3 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;
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}#sk-container-id-3 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);
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}#sk-container-id-3 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;
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}#sk-container-id-3 div.sk-text-repr-fallback {display: none;
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}div.sk-parallel-item,
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div.sk-serial,
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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;
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}/* Parallel-specific style estimator block */#sk-container-id-3 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
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}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
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}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;
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}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
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}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
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}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;
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}/* Serial-specific style estimator block */#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
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}/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
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clickable and can be expanded/collapsed.
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- Pipeline and ColumnTransformer use this feature and define the default style
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- Estimators will overwrite some part of the style using the `sk-estimator` class
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*//* Pipeline and ColumnTransformer style (default) */#sk-container-id-3 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);
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}/* Toggleable label */
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#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;
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}#sk-container-id-3 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);
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}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
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}/* Toggleable content - dropdown */#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
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}#sk-container-id-3 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
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}#sk-container-id-3 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);
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}#sk-container-id-3 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
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}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto;
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}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
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}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-3 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);
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}#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
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}/* Estimator-specific style *//* Colorize estimator box */
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#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
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}#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
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}#sk-container-id-3 div.sk-label label.sk-toggleable__label,
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#sk-container-id-3 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
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}/* On hover, darken the color of the background */
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#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
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}/* Label box, darken color on hover, fitted */
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#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
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}/* Estimator label */#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
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}#sk-container-id-3 div.sk-label-container {text-align: center;
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}/* Estimator-specific */
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#sk-container-id-3 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);
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}#sk-container-id-3 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
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}/* on hover */
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#sk-container-id-3 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
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}#sk-container-id-3 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
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}/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
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a:link.sk-estimator-doc-link,
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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);
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}.sk-estimator-doc-link.fitted,
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a:link.sk-estimator-doc-link.fitted,
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a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
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}/* On hover */
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div.sk-estimator:hover .sk-estimator-doc-link:hover,
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.sk-estimator-doc-link:hover,
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div.sk-label-container:hover .sk-estimator-doc-link:hover,
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.sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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}div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
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.sk-estimator-doc-link.fitted:hover,
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div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
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.sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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}/* Span, style for the box shown on hovering the info icon */
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.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);
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}.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
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}.sk-estimator-doc-link:hover span {display: block;
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}/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-3 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;
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}#sk-container-id-3 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
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}/* On hover */
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#sk-container-id-3 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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}#sk-container-id-3 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
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}
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</style><div id="sk-container-id-3" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>RandomForestClassifier(random_state=42)</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 fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> RandomForestClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestClassifier.html">?<span>Documentation for RandomForestClassifier</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestClassifier(random_state=42)</pre></div> </div></div></div></div>
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## Evaluation Results
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| Metric | Value |
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|----------|----------|
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| f1 score | 0.939887 |
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| accuracy | 0.939887 |
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# How to Get Started with the Model
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[More Information Needed]
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# Model Card Authors
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This model card is written by following authors:
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|
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[More Information Needed]
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# Model Card Contact
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You can contact the model card authors through following channels:
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[More Information Needed]
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+
|
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# Citation
|
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+
|
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Below you can find information related to citation.
|
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|
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**BibTeX:**
|
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```
|
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[More Information Needed]
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```
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# eval_method
|
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The model is evaluated using test split, on accuracy and f1.
|
config.json
ADDED
@@ -0,0 +1,112 @@
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|
1 |
+
{
|
2 |
+
"sklearn": {
|
3 |
+
"columns": [
|
4 |
+
"CustomerID",
|
5 |
+
"Age",
|
6 |
+
"Tenure",
|
7 |
+
"Usage Frequency",
|
8 |
+
"Support Calls",
|
9 |
+
"Payment Delay",
|
10 |
+
"Total Spend",
|
11 |
+
"Last Interaction",
|
12 |
+
"Gender_Female",
|
13 |
+
"Gender_Male",
|
14 |
+
"Subscription Type_Basic",
|
15 |
+
"Subscription Type_Premium",
|
16 |
+
"Subscription Type_Standard",
|
17 |
+
"Contract Length_Annual",
|
18 |
+
"Contract Length_Monthly",
|
19 |
+
"Contract Length_Quarterly"
|
20 |
+
],
|
21 |
+
"environment": [
|
22 |
+
"scikit-learn=1.5.2"
|
23 |
+
],
|
24 |
+
"example_input": {
|
25 |
+
"Age": [
|
26 |
+
30.0,
|
27 |
+
39.0,
|
28 |
+
34.0
|
29 |
+
],
|
30 |
+
"Contract Length_Annual": [
|
31 |
+
0.4020390042192999,
|
32 |
+
1.0,
|
33 |
+
0.0
|
34 |
+
],
|
35 |
+
"Contract Length_Monthly": [
|
36 |
+
0.0,
|
37 |
+
0.1485504663266166,
|
38 |
+
0.1485504663266166
|
39 |
+
],
|
40 |
+
"Contract Length_Quarterly": [
|
41 |
+
0.0,
|
42 |
+
0.0,
|
43 |
+
1.0
|
44 |
+
],
|
45 |
+
"CustomerID": [
|
46 |
+
169896.52155342826,
|
47 |
+
169896.52155342826,
|
48 |
+
211059.0
|
49 |
+
],
|
50 |
+
"Gender_Female": [
|
51 |
+
0.0,
|
52 |
+
0.4324749985417166,
|
53 |
+
0.0
|
54 |
+
],
|
55 |
+
"Gender_Male": [
|
56 |
+
1.0,
|
57 |
+
0.0,
|
58 |
+
1.0
|
59 |
+
],
|
60 |
+
"Last Interaction": [
|
61 |
+
20.0,
|
62 |
+
9.0,
|
63 |
+
12.0
|
64 |
+
],
|
65 |
+
"Payment Delay": [
|
66 |
+
13.235127129903884,
|
67 |
+
13.235127129903884,
|
68 |
+
13.235127129903884
|
69 |
+
],
|
70 |
+
"Subscription Type_Basic": [
|
71 |
+
1.0,
|
72 |
+
1.0,
|
73 |
+
0.0
|
74 |
+
],
|
75 |
+
"Subscription Type_Premium": [
|
76 |
+
0.0,
|
77 |
+
0.0,
|
78 |
+
0.0
|
79 |
+
],
|
80 |
+
"Subscription Type_Standard": [
|
81 |
+
0.33845460849952363,
|
82 |
+
0.33845460849952363,
|
83 |
+
0.33845460849952363
|
84 |
+
],
|
85 |
+
"Support Calls": [
|
86 |
+
0.0,
|
87 |
+
0.0,
|
88 |
+
8.0
|
89 |
+
],
|
90 |
+
"Tenure": [
|
91 |
+
43.0,
|
92 |
+
31.0,
|
93 |
+
17.0
|
94 |
+
],
|
95 |
+
"Total Spend": [
|
96 |
+
914.15,
|
97 |
+
657.3,
|
98 |
+
511.21
|
99 |
+
],
|
100 |
+
"Usage Frequency": [
|
101 |
+
23.0,
|
102 |
+
28.0,
|
103 |
+
24.0
|
104 |
+
]
|
105 |
+
},
|
106 |
+
"model": {
|
107 |
+
"file": "hw4_mar25_classifier_mean.pkl"
|
108 |
+
},
|
109 |
+
"model_format": "pickle",
|
110 |
+
"task": "tabular-classification"
|
111 |
+
}
|
112 |
+
}
|
hw4_mar25_classifier_mean.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:302d44d2e503201c31b804200ed7e3a28a0fa9e46849ae78d65e92b0483bce1f
|
3 |
+
size 155601277
|