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  1. README.md +234 -0
  2. config.json +221 -0
  3. confusion_matrix.png +0 -0
  4. model1.pkl +3 -0
README.md ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: sklearn
3
+ tags:
4
+ - sklearn
5
+ - skops
6
+ - tabular-classification
7
+ model_format: pickle
8
+ model_file: model1.pkl
9
+ widget:
10
+ structuredData:
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+ Age at enrollment:
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+ - 20
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+ - 19
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+ - 19
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+ Application mode:
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+ - 8
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+ - 6
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+ - 1
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+ Application order:
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+ - 5
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+ - 1
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+ - 5
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+ Course:
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+ - 2
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+ - 11
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+ - 5
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+ Curricular units 1st sem (approved):
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+ - 0
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+ - 6
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+ - 0
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+ Curricular units 1st sem (credited):
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+ - 0
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+ - 0
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+ - 0
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+ Curricular units 1st sem (enrolled):
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+ - 0
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+ - 6
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+ - 6
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+ Curricular units 1st sem (evaluations):
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+ - 0
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+ - 6
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+ - 0
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+ Curricular units 1st sem (grade):
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+ - 0.0
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+ - 14.0
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+ - 0.0
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+ Curricular units 1st sem (without evaluations):
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+ - 0
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+ - 0
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+ - 0
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+ Curricular units 2nd sem (approved):
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+ - 0
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+ - 6
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+ - 0
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+ Curricular units 2nd sem (credited):
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+ - 0
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+ - 0
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+ - 0
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+ Curricular units 2nd sem (enrolled):
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+ - 0
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+ - 6
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+ - 6
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+ Curricular units 2nd sem (evaluations):
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+ - 0
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+ - 6
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+ - 0
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+ Curricular units 2nd sem (grade):
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+ - 0.0
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+ - 13.666666666666666
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+ - 0.0
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+ Curricular units 2nd sem (without evaluations):
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+ - 0
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+ - 0
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+ - 0
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+ Daytime/evening attendance:
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+ - 1
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+ - 1
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+ - 1
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+ Debtor:
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+ - 0
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+ - 0
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+ - 0
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+ Displaced:
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+ - 1
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+ - 1
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+ - 1
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+ Educational special needs:
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+ - 0
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+ - 0
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+ - 0
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+ Father's occupation:
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+ - 10
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+ - 4
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+ - 10
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+ Father's qualification:
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+ - 10
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+ - 3
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+ - 27
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+ GDP:
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+ - 1.74
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+ - 0.79
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+ - 1.74
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+ Gender:
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+ - 1
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+ - 1
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+ - 1
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+ Inflation rate:
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+ - 1.4
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+ - -0.3
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+ - 1.4
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+ International:
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+ - 0
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+ - 0
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+ - 0
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+ Marital status:
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+ - 1
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+ - 1
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+ - 1
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+ Mother's occupation:
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+ - 6
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+ - 4
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+ - 10
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+ Mother's qualification:
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+ - 13
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+ - 1
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+ - 22
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+ Nacionality:
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+ - 1
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+ - 1
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+ - 1
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+ Previous qualification:
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+ - 1
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+ - 1
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+ - 1
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+ Scholarship holder:
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+ - 0
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+ - 0
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+ - 0
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+ Tuition fees up to date:
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+ - 1
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+ - 0
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+ - 0
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+ Unemployment rate:
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+ - 10.8
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+ - 13.9
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+ - 10.8
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+ ---
148
+
149
+ # Model description
150
+
151
+ [More Information Needed]
152
+
153
+ ## Intended uses & limitations
154
+
155
+ [More Information Needed]
156
+
157
+ ## Training Procedure
158
+
159
+ [More Information Needed]
160
+
161
+ ### Hyperparameters
162
+
163
+ <details>
164
+ <summary> Click to expand </summary>
165
+
166
+ | Hyperparameter | Value |
167
+ |--------------------------|---------|
168
+ | bootstrap | True |
169
+ | ccp_alpha | 0.0 |
170
+ | class_weight | |
171
+ | criterion | gini |
172
+ | max_depth | |
173
+ | max_features | sqrt |
174
+ | max_leaf_nodes | |
175
+ | max_samples | |
176
+ | min_impurity_decrease | 0.0 |
177
+ | min_samples_leaf | 1 |
178
+ | min_samples_split | 2 |
179
+ | min_weight_fraction_leaf | 0.0 |
180
+ | n_estimators | 100 |
181
+ | n_jobs | |
182
+ | oob_score | False |
183
+ | random_state | |
184
+ | verbose | 0 |
185
+ | warm_start | False |
186
+
187
+ </details>
188
+
189
+ ### Model Plot
190
+
191
+ <style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 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-4 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 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-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 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-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 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-4 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-4" 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-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label sk-toggleable__label-arrow">RandomForestClassifier</label><div class="sk-toggleable__content"><pre>RandomForestClassifier()</pre></div></div></div></div></div>
192
+
193
+ ## Evaluation Results
194
+
195
+ | Metric | Value |
196
+ |----------|---------|
197
+ | accuracy | 0.9041 |
198
+ | roc_auc | 0.9157 |
199
+
200
+ # How to Get Started with the Model
201
+
202
+ [More Information Needed]
203
+
204
+ # Model Card Authors
205
+
206
+ This model card is written by following authors:
207
+
208
+ [More Information Needed]
209
+
210
+ # Model Card Contact
211
+
212
+ You can contact the model card authors through following channels:
213
+ [More Information Needed]
214
+
215
+ # Citation
216
+
217
+ Below you can find information related to citation.
218
+
219
+ **BibTeX:**
220
+ ```
221
+ [More Information Needed]
222
+ ```
223
+
224
+ # model_description
225
+
226
+ This is a RandomForest Classifier trained on student academic performance data.
227
+
228
+ # limitations
229
+
230
+ This model is trained for educational purposes.
231
+
232
+ # Confusion Matrix
233
+
234
+ ![Confusion Matrix](confusion_matrix.png)
config.json ADDED
@@ -0,0 +1,221 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "sklearn": {
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+ "columns": [
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+ "Marital status",
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+ "Application mode",
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+ "Application order",
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+ "Course",
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+ "Daytime/evening attendance",
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+ "Previous qualification",
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+ "Nacionality",
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+ "Mother's qualification",
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+ "Father's qualification",
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+ "Mother's occupation",
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+ "Father's occupation",
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+ "Displaced",
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+ "Educational special needs",
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+ "Debtor",
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+ "Tuition fees up to date",
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+ "Gender",
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+ "Scholarship holder",
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+ "Age at enrollment",
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+ "International",
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+ "Curricular units 1st sem (credited)",
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+ "Curricular units 1st sem (enrolled)",
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+ "Curricular units 1st sem (evaluations)",
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+ "Curricular units 1st sem (approved)",
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+ "Curricular units 1st sem (grade)",
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+ "Curricular units 1st sem (without evaluations)",
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+ "Curricular units 2nd sem (credited)",
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+ "Curricular units 2nd sem (enrolled)",
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+ "Curricular units 2nd sem (evaluations)",
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+ "Curricular units 2nd sem (approved)",
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+ "Curricular units 2nd sem (grade)",
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+ "Curricular units 2nd sem (without evaluations)",
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+ "Unemployment rate",
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+ "Inflation rate",
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+ "GDP"
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+ ],
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+ "environment": [
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+ "scikit-learn"
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+ ],
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+ "example_input": {
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+ "Age at enrollment": [
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+ 20,
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+ ],
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+ "GDP": [
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+ 0.79,
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+ ],
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+ ],
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+ 0,
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+ ],
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+ "Scholarship holder": [
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+ "Tuition fees up to date": [
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+ ],
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+ "Unemployment rate": [
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+ 10.8,
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+ 13.9,
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+ 10.8
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+ ]
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+ },
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+ "model": {
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+ "file": "model1.pkl"
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+ },
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+ "model_format": "pickle",
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+ "task": "tabular-classification",
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+ "use_intelex": false
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+ }
221
+ }
confusion_matrix.png ADDED
model1.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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