New test

README.md

@@ -1,6 +1,181 @@
 ---
-metrics:
-- accuracy
-pipeline_tag: tabular-classification
 library_name: sklearn
----
+tags:
+- sklearn
+- skops
+- tabular-classification
+model_format: pickle
+model_file: rfc_better_F_score_0.8753_Acc_89.94%.pkl
+widget:
+- structuredData:
+    Area Density Index/分區密度指數:
+    - 0.0
+    - 0.0
+    - 0.0
+    Area Gravidtrap Index/分區誘蚊器指數 (%):
+    - 0.0
+    - 0.0
+    - 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
+    - 0.0
+    - 0.0
+    gis_ndvi:
+    - 0.299872361
+    - 0.299872361
+    - 0.299872361
+    gis_road_100:
+    - 0.131567
+    - 0.131567
+    - 0.131567
+    gis_water_100:
+    - 0.0
+    - 0.0
+    - 0.0
+    rainfall_interval_cum:
+    - 0.0
+    - 0.0
+    - 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
+
+[More Information Needed]
+
+## Intended uses & limitations
+
+[More Information Needed]
+
+## Training Procedure
+
+[More Information Needed]
+
+### Hyperparameters
+
+<details>
+<summary> Click to expand </summary>
+
+| 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   |
+
+</details>
+
+### Model Plot
+
+<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#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-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#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;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#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;}#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 the default 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;}</style><div id="sk-container-id-2" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>RandomForestClassifier()</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-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label sk-toggleable__label-arrow">RandomForestClassifier</label><div class="sk-toggleable__content"><pre>RandomForestClassifier()</pre></div></div></div></div></div>
+
+## Evaluation Results
+
+[More Information Needed]
+
+# How to Get Started with the Model
+
+[More Information Needed]
+
+# Model Card Authors
+
+This model card is written by following authors:
+
+[More Information Needed]
+
+# Model Card Contact
+
+You can contact the model card authors through following channels:
+[More Information Needed]
+
+# Citation
+
+Below you can find information related to citation.
+
+**BibTeX:**
+```
+[More Information Needed]
+```
+
+# citation_bibtex
+
+# get_started_code
+
+# model_card_authors
+
+# limitations
+
+# model_description

config.json

@@ -0,0 +1,149 @@
+{
+    "sklearn": {
+        "columns": [
+            "Unnamed: 0",
+            "env_temp",
+            "env_humi",
+            "wind_speed_10mins",
+            "rainfall_interval_cum",
+            "air_pressure",
+            "dew_point_temp",
+            "Area Gravidtrap Index/\u5206\u5340\u8a98\u868a\u5668\u6307\u6578 (%)",
+            "Area Density Index/\u5206\u5340\u5bc6\u5ea6\u6307\u6578",
+            "Season_Autumn",
+            "Season_Spring",
+            "Season_Summer",
+            "Season_Winter",
+            "urban",
+            "suburban",
+            "rural",
+            "gis_aadt",
+            "gis_ndvi",
+            "gis_building_100",
+            "gis_greenery_100",
+            "gis_water_100",
+            "gis_road_100"
+        ],
+        "environment": [
+            "scikit-learn=1.3.0"
+        ],
+        "example_input": {
+            "Area Density Index/\u5206\u5340\u5bc6\u5ea6\u6307\u6578": [
+                0.0,
+                0.0,
+                0.0
+            ],
+            "Area Gravidtrap Index/\u5206\u5340\u8a98\u868a\u5668\u6307\u6578 (%)": [
+                0.0,
+                0.0,
+                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,
+                0.0,
+                0.0
+            ],
+            "gis_ndvi": [
+                0.299872361,
+                0.299872361,
+                0.299872361
+            ],
+            "gis_road_100": [
+                0.131567,
+                0.131567,
+                0.131567
+            ],
+            "gis_water_100": [
+                0.0,
+                0.0,
+                0.0
+            ],
+            "rainfall_interval_cum": [
+                0.0,
+                0.0,
+                0.0
+            ],
+            "rural": [
+                0,
+                0,
+                0
+            ],
+            "suburban": [
+                0,
+                0,
+                0
+            ],
+            "urban": [
+                1,
+                1,
+                1
+            ],
+            "wind_speed_10mins": [
+                24.4,
+                15.1,
+                25.1
+            ]
+        },
+        "model": {
+            "file": "rfc_better_F_score_0.8753_Acc_89.94%.pkl"
+        },
+        "model_format": "pickle",
+        "task": "tabular-classification",
+        "use_intelex": false
+    }
+}

rfc_better_F_score_0.8753_Acc_89.94%.pkl

@@ -0,0 +1,3 @@
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+size 5595138921