metadata
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: rfc_better_F_score_0.9317_Acc_95.00%.pkl
widget:
- structuredData:
Area Density Index/分區密度指數:
- 0
- 0
- 0
Area Gravidtrap Index/分區誘蚊器指數 (%):
- 0
- 0
- 0
Season_Autumn:
- 0
- 0
- 0
Season_Spring:
- 0
- 0
- 0
Season_Summer:
- 0
- 0
- 0
Season_Winter:
- 1
- 1
- 1
'Unnamed: 0':
- 0
- 3
- 6
air_pressure:
- 1024.4
- 1022.5
- 1021.1
dew_point_temp:
- 13.4
- 14.2
- 14.5
env_humi:
- 76
- 77
- 79
env_temp:
- 17.6
- 18.4
- 18.3
gis_aadt:
- 32670
- 32670
- 32670
gis_building_100:
- 0.525513
- 0.525513
- 0.525513
gis_greenery_100:
- 0
- 0
- 0
gis_ndvi:
- 0.299872361
- 0.299872361
- 0.299872361
gis_road_100:
- 0.131567
- 0.131567
- 0.131567
gis_water_100:
- 0
- 0
- 0
rainfall_interval_cum:
- 0
- 0
- 0
rural:
- 0
- 0
- 0
suburban:
- 0
- 0
- 0
urban:
- 1
- 1
- 1
wind_speed_10mins:
- 24.4
- 15.1
- 25.1
Model description
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Intended uses & limitations
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Training Procedure
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Hyperparameters
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| Hyperparameter | Value |
|---|---|
| bootstrap | True |
| ccp_alpha | 0.0 |
| class_weight | |
| criterion | gini |
| max_depth | |
| max_features | sqrt |
| max_leaf_nodes | |
| max_samples | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| n_estimators | 100 |
| n_jobs | |
| oob_score | False |
| random_state | |
| verbose | 0 |
| warm_start | False |
Model Plot
RandomForestClassifier()In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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RandomForestClassifier()
Evaluation Results
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How to Get Started with the Model
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Model Card Authors
This model card is written by following authors:
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Model Card Contact
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Citation
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BibTeX:
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