pushing files to the repo from the example!
Browse files- NYC_SQF_ARR_MLP.pkl +2 -2
- README.md +98 -98
- config.json +19 -19
NYC_SQF_ARR_MLP.pkl
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README.md
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SUSPECT_RACE_DESCRIPTION:
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---
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# Model description
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<details>
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<summary> Click to expand </summary>
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| Hyperparameter | Value
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| memory |
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| steps | [('scaler', MinMaxScaler()), ('mlp', MLPClassifier(
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| verbose | False
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| scaler | MinMaxScaler()
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| mlp | MLPClassifier(
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| scaler__clip | False
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| scaler__copy | True
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| scaler__feature_range | (0, 1)
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| mlp__activation | relu
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| mlp__alpha | 0.0001
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| mlp__batch_size | auto
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| mlp__beta_1 | 0.9
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| mlp__beta_2 | 0.999
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| mlp__early_stopping | False
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| mlp__epsilon | 1e-08
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| mlp__hidden_layer_sizes | (
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| mlp__learning_rate | constant
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| mlp__learning_rate_init | 0.001
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| mlp__max_fun | 15000
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| mlp__max_iter | 200
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| mlp__momentum | 0.9
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| mlp__n_iter_no_change | 10
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| mlp__nesterovs_momentum | True
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| mlp__power_t | 0.5
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| mlp__random_state |
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| mlp__shuffle | True
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| mlp__solver | adam
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| mlp__tol | 0.0001
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| mlp__validation_fraction | 0.1
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| mlp__verbose | True
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| mlp__warm_start | False
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</details>
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### Model Plot
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<style>#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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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-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}/* Serial-specific style estimator block */#sk-container-id-
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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-
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}/* Toggleable label */
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#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}/* Toggleable content - dropdown */#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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}/* Pipeline/ColumnTransformer-specific style */#sk-container-id-
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}#sk-container-id-
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}/* Estimator-specific style *//* Colorize estimator box */
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#sk-container-id-
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}#sk-container-id-
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}#sk-container-id-
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#sk-container-id-
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}/* On hover, darken the color of the background */
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#sk-container-id-
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}/* Label box, darken color on hover, fitted */
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#sk-container-id-
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}/* Estimator label */#sk-container-id-
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}#sk-container-id-
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}/* Estimator-specific */
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#sk-container-id-
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}#sk-container-id-
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}/* on hover */
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#sk-container-id-
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}#sk-container-id-
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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 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-
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}#sk-container-id-
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}/* On hover */
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#sk-container-id-
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}#sk-container-id-
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}
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</style><div id="sk-container-id-
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## Evaluation Results
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| Metric | Value |
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|-----------|----------|
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| accuracy | 0.
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| f1 score | 0.
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| precision | 0.
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| recall | 0.
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# How to Get Started with the Model
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- 1
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CONSENT_GIVEN_FLG:
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FIREARM_FLAG:
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FRISKED_FLAG:
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- 1
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ISSUING_OFFICER_RANK:
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- 9
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- 9
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- 9
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KNIFE_CUTTER_FLAG:
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SEARCHED_FLAG:
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- 0
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- 0
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- 1
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STOP_LOCATION_PRECINCT:
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- 20
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- 23
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- 46
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SUPERVISING_OFFICER_RANK:
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- 12
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- 12
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- 12
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SUSPECT_BODY_BUILD_TYPE:
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- 3
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- 2
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- 2
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SUSPECT_HEIGHT:
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- 5.7
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- 5.9
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- 5.1
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SUSPECT_RACE_DESCRIPTION:
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- 7
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- 7
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- 3
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SUSPECT_REPORTED_AGE:
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- 30.0
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- 28.0
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- 24.0
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SUSPECT_SEX:
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- 2
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- 2
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- 2
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SUSPECT_WEIGHT:
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- 160.0
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- 175.0
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- 210.0
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---
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# Model description
|
|
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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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| memory | |
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| steps | [('scaler', MinMaxScaler()), ('mlp', MLPClassifier(verbose=True))] |
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| verbose | False |
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| scaler | MinMaxScaler() |
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| mlp | MLPClassifier(verbose=True) |
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| scaler__clip | False |
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| scaler__copy | True |
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| scaler__feature_range | (0, 1) |
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| mlp__activation | relu |
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| mlp__alpha | 0.0001 |
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| mlp__batch_size | auto |
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| mlp__beta_1 | 0.9 |
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| mlp__beta_2 | 0.999 |
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| mlp__early_stopping | False |
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| mlp__epsilon | 1e-08 |
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+
| mlp__hidden_layer_sizes | (100,) |
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| mlp__learning_rate | constant |
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| mlp__learning_rate_init | 0.001 |
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| mlp__max_fun | 15000 |
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| mlp__max_iter | 200 |
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| mlp__momentum | 0.9 |
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| mlp__n_iter_no_change | 10 |
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| mlp__nesterovs_momentum | True |
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| mlp__power_t | 0.5 |
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| mlp__random_state | |
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| mlp__shuffle | True |
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| mlp__solver | adam |
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| mlp__tol | 0.0001 |
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+
| mlp__validation_fraction | 0.1 |
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| mlp__verbose | True |
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| mlp__warm_start | False |
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</details>
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### Model Plot
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+
<style>#sk-container-id-1 {/* 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-1 {color: var(--sklearn-color-text);
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}#sk-container-id-1 pre {padding: 0;
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}#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;
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}#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);
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}#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;
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}#sk-container-id-1 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-1 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-1 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-1 div.sk-parallel-item {display: flex;flex-direction: column;
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}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
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}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
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}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;
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}/* 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;
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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-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);
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}/* Toggleable label */
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#sk-container-id-1 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-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);
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}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
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}/* Toggleable content - dropdown */#sk-container-id-1 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-1 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
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}#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);
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}#sk-container-id-1 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
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}#sk-container-id-1 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-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
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}/* 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);
|
| 169 |
+
}#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);
|
| 170 |
}/* Estimator-specific style *//* Colorize estimator box */
|
| 171 |
+
#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);
|
| 172 |
+
}#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);
|
| 173 |
+
}#sk-container-id-1 div.sk-label label.sk-toggleable__label,
|
| 174 |
+
#sk-container-id-1 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
|
| 175 |
}/* On hover, darken the color of the background */
|
| 176 |
+
#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);
|
| 177 |
}/* Label box, darken color on hover, fitted */
|
| 178 |
+
#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);
|
| 179 |
+
}/* Estimator label */#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
|
| 180 |
+
}#sk-container-id-1 div.sk-label-container {text-align: center;
|
| 181 |
}/* Estimator-specific */
|
| 182 |
+
#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);
|
| 183 |
+
}#sk-container-id-1 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
|
| 184 |
}/* on hover */
|
| 185 |
+
#sk-container-id-1 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
|
| 186 |
+
}#sk-container-id-1 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
|
| 187 |
}/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
|
| 188 |
a:link.sk-estimator-doc-link,
|
| 189 |
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);
|
|
|
|
| 203 |
.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);
|
| 204 |
}.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
|
| 205 |
}.sk-estimator-doc-link:hover span {display: block;
|
| 206 |
+
}/* "?"-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;
|
| 207 |
+
}#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);
|
| 208 |
}/* On hover */
|
| 209 |
+
#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;
|
| 210 |
+
}#sk-container-id-1 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
|
| 211 |
}
|
| 212 |
+
</style><div id="sk-container-id-1" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[('scaler', MinMaxScaler()),('mlp', MLPClassifier(verbose=True))])</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-1" type="checkbox" ><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> 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=[('scaler', MinMaxScaler()),('mlp', MLPClassifier(verbose=True))])</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-2" type="checkbox" ><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> 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-3" type="checkbox" ><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted"> MLPClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.neural_network.MLPClassifier.html">?<span>Documentation for MLPClassifier</span></a></label><div class="sk-toggleable__content fitted"><pre>MLPClassifier(verbose=True)</pre></div> </div></div></div></div></div></div>
|
| 213 |
|
| 214 |
## Evaluation Results
|
| 215 |
|
| 216 |
| Metric | Value |
|
| 217 |
|-----------|----------|
|
| 218 |
+
| accuracy | 0.863536 |
|
| 219 |
+
| f1 score | 0.77677 |
|
| 220 |
+
| precision | 0.818878 |
|
| 221 |
+
| recall | 0.73878 |
|
| 222 |
|
| 223 |
# How to Get Started with the Model
|
| 224 |
|
config.json
CHANGED
|
@@ -30,7 +30,7 @@
|
|
| 30 |
],
|
| 31 |
"CONSENT_GIVEN_FLG": [
|
| 32 |
1,
|
| 33 |
-
|
| 34 |
1
|
| 35 |
],
|
| 36 |
"FIREARM_FLAG": [
|
|
@@ -40,11 +40,11 @@
|
|
| 40 |
],
|
| 41 |
"FRISKED_FLAG": [
|
| 42 |
0,
|
| 43 |
-
|
| 44 |
1
|
| 45 |
],
|
| 46 |
"ISSUING_OFFICER_RANK": [
|
| 47 |
-
|
| 48 |
9,
|
| 49 |
9
|
| 50 |
],
|
|
@@ -66,12 +66,12 @@
|
|
| 66 |
"SEARCHED_FLAG": [
|
| 67 |
0,
|
| 68 |
0,
|
| 69 |
-
|
| 70 |
],
|
| 71 |
"STOP_LOCATION_PRECINCT": [
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
],
|
| 76 |
"SUPERVISING_OFFICER_RANK": [
|
| 77 |
12,
|
|
@@ -80,23 +80,23 @@
|
|
| 80 |
],
|
| 81 |
"SUSPECT_BODY_BUILD_TYPE": [
|
| 82 |
3,
|
| 83 |
-
|
| 84 |
2
|
| 85 |
],
|
| 86 |
"SUSPECT_HEIGHT": [
|
| 87 |
-
6.0,
|
| 88 |
5.7,
|
| 89 |
-
|
|
|
|
| 90 |
],
|
| 91 |
"SUSPECT_RACE_DESCRIPTION": [
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
|
| 95 |
],
|
| 96 |
"SUSPECT_REPORTED_AGE": [
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
],
|
| 101 |
"SUSPECT_SEX": [
|
| 102 |
2,
|
|
@@ -104,9 +104,9 @@
|
|
| 104 |
2
|
| 105 |
],
|
| 106 |
"SUSPECT_WEIGHT": [
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
]
|
| 111 |
},
|
| 112 |
"model": {
|
|
|
|
| 30 |
],
|
| 31 |
"CONSENT_GIVEN_FLG": [
|
| 32 |
1,
|
| 33 |
+
0,
|
| 34 |
1
|
| 35 |
],
|
| 36 |
"FIREARM_FLAG": [
|
|
|
|
| 40 |
],
|
| 41 |
"FRISKED_FLAG": [
|
| 42 |
0,
|
| 43 |
+
1,
|
| 44 |
1
|
| 45 |
],
|
| 46 |
"ISSUING_OFFICER_RANK": [
|
| 47 |
+
9,
|
| 48 |
9,
|
| 49 |
9
|
| 50 |
],
|
|
|
|
| 66 |
"SEARCHED_FLAG": [
|
| 67 |
0,
|
| 68 |
0,
|
| 69 |
+
1
|
| 70 |
],
|
| 71 |
"STOP_LOCATION_PRECINCT": [
|
| 72 |
+
20,
|
| 73 |
+
23,
|
| 74 |
+
46
|
| 75 |
],
|
| 76 |
"SUPERVISING_OFFICER_RANK": [
|
| 77 |
12,
|
|
|
|
| 80 |
],
|
| 81 |
"SUSPECT_BODY_BUILD_TYPE": [
|
| 82 |
3,
|
| 83 |
+
2,
|
| 84 |
2
|
| 85 |
],
|
| 86 |
"SUSPECT_HEIGHT": [
|
|
|
|
| 87 |
5.7,
|
| 88 |
+
5.9,
|
| 89 |
+
5.1
|
| 90 |
],
|
| 91 |
"SUSPECT_RACE_DESCRIPTION": [
|
| 92 |
+
7,
|
| 93 |
+
7,
|
| 94 |
+
3
|
| 95 |
],
|
| 96 |
"SUSPECT_REPORTED_AGE": [
|
| 97 |
+
30.0,
|
| 98 |
+
28.0,
|
| 99 |
+
24.0
|
| 100 |
],
|
| 101 |
"SUSPECT_SEX": [
|
| 102 |
2,
|
|
|
|
| 104 |
2
|
| 105 |
],
|
| 106 |
"SUSPECT_WEIGHT": [
|
| 107 |
+
160.0,
|
| 108 |
+
175.0,
|
| 109 |
+
210.0
|
| 110 |
]
|
| 111 |
},
|
| 112 |
"model": {
|