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README.md
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1 |
+
---
|
2 |
+
library_name: sklearn
|
3 |
+
tags:
|
4 |
+
- sklearn
|
5 |
+
- tabular-classification
|
6 |
+
widget:
|
7 |
+
structuredData:
|
8 |
+
x0:
|
9 |
+
- 0.0
|
10 |
+
- 0.0
|
11 |
+
- 0.0
|
12 |
+
x1:
|
13 |
+
- 0.0
|
14 |
+
- 0.0
|
15 |
+
- 0.0
|
16 |
+
x10:
|
17 |
+
- 13.0
|
18 |
+
- 0.0
|
19 |
+
- 3.0
|
20 |
+
x11:
|
21 |
+
- 15.0
|
22 |
+
- 11.0
|
23 |
+
- 16.0
|
24 |
+
x12:
|
25 |
+
- 10.0
|
26 |
+
- 16.0
|
27 |
+
- 15.0
|
28 |
+
x13:
|
29 |
+
- 15.0
|
30 |
+
- 9.0
|
31 |
+
- 14.0
|
32 |
+
x14:
|
33 |
+
- 5.0
|
34 |
+
- 0.0
|
35 |
+
- 0.0
|
36 |
+
x15:
|
37 |
+
- 0.0
|
38 |
+
- 0.0
|
39 |
+
- 0.0
|
40 |
+
x16:
|
41 |
+
- 0.0
|
42 |
+
- 0.0
|
43 |
+
- 0.0
|
44 |
+
x17:
|
45 |
+
- 3.0
|
46 |
+
- 0.0
|
47 |
+
- 0.0
|
48 |
+
x18:
|
49 |
+
- 15.0
|
50 |
+
- 3.0
|
51 |
+
- 8.0
|
52 |
+
x19:
|
53 |
+
- 2.0
|
54 |
+
- 15.0
|
55 |
+
- 13.0
|
56 |
+
x2:
|
57 |
+
- 5.0
|
58 |
+
- 0.0
|
59 |
+
- 0.0
|
60 |
+
x20:
|
61 |
+
- 0.0
|
62 |
+
- 16.0
|
63 |
+
- 8.0
|
64 |
+
x21:
|
65 |
+
- 11.0
|
66 |
+
- 6.0
|
67 |
+
- 16.0
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68 |
+
x22:
|
69 |
+
- 8.0
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70 |
+
- 0.0
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71 |
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- 0.0
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72 |
+
x23:
|
73 |
+
- 0.0
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74 |
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- 0.0
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75 |
+
- 0.0
|
76 |
+
x24:
|
77 |
+
- 0.0
|
78 |
+
- 0.0
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79 |
+
- 0.0
|
80 |
+
x25:
|
81 |
+
- 4.0
|
82 |
+
- 7.0
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83 |
+
- 0.0
|
84 |
+
x26:
|
85 |
+
- 12.0
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86 |
+
- 15.0
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87 |
+
- 1.0
|
88 |
+
x27:
|
89 |
+
- 0.0
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90 |
+
- 16.0
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91 |
+
- 6.0
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92 |
+
x28:
|
93 |
+
- 0.0
|
94 |
+
- 16.0
|
95 |
+
- 15.0
|
96 |
+
x29:
|
97 |
+
- 8.0
|
98 |
+
- 2.0
|
99 |
+
- 11.0
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100 |
+
x3:
|
101 |
+
- 13.0
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102 |
+
- 12.0
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103 |
+
- 4.0
|
104 |
+
x30:
|
105 |
+
- 8.0
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106 |
+
- 0.0
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107 |
+
- 0.0
|
108 |
+
x31:
|
109 |
+
- 0.0
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110 |
+
- 0.0
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111 |
+
- 0.0
|
112 |
+
x32:
|
113 |
+
- 0.0
|
114 |
+
- 0.0
|
115 |
+
- 0.0
|
116 |
+
x33:
|
117 |
+
- 5.0
|
118 |
+
- 0.0
|
119 |
+
- 1.0
|
120 |
+
x34:
|
121 |
+
- 8.0
|
122 |
+
- 1.0
|
123 |
+
- 8.0
|
124 |
+
x35:
|
125 |
+
- 0.0
|
126 |
+
- 16.0
|
127 |
+
- 13.0
|
128 |
+
x36:
|
129 |
+
- 0.0
|
130 |
+
- 16.0
|
131 |
+
- 15.0
|
132 |
+
x37:
|
133 |
+
- 9.0
|
134 |
+
- 3.0
|
135 |
+
- 1.0
|
136 |
+
x38:
|
137 |
+
- 8.0
|
138 |
+
- 0.0
|
139 |
+
- 0.0
|
140 |
+
x39:
|
141 |
+
- 0.0
|
142 |
+
- 0.0
|
143 |
+
- 0.0
|
144 |
+
x4:
|
145 |
+
- 9.0
|
146 |
+
- 13.0
|
147 |
+
- 15.0
|
148 |
+
x40:
|
149 |
+
- 0.0
|
150 |
+
- 0.0
|
151 |
+
- 0.0
|
152 |
+
x41:
|
153 |
+
- 4.0
|
154 |
+
- 0.0
|
155 |
+
- 9.0
|
156 |
+
x42:
|
157 |
+
- 11.0
|
158 |
+
- 1.0
|
159 |
+
- 16.0
|
160 |
+
x43:
|
161 |
+
- 0.0
|
162 |
+
- 16.0
|
163 |
+
- 16.0
|
164 |
+
x44:
|
165 |
+
- 1.0
|
166 |
+
- 16.0
|
167 |
+
- 5.0
|
168 |
+
x45:
|
169 |
+
- 12.0
|
170 |
+
- 6.0
|
171 |
+
- 0.0
|
172 |
+
x46:
|
173 |
+
- 7.0
|
174 |
+
- 0.0
|
175 |
+
- 0.0
|
176 |
+
x47:
|
177 |
+
- 0.0
|
178 |
+
- 0.0
|
179 |
+
- 0.0
|
180 |
+
x48:
|
181 |
+
- 0.0
|
182 |
+
- 0.0
|
183 |
+
- 0.0
|
184 |
+
x49:
|
185 |
+
- 2.0
|
186 |
+
- 0.0
|
187 |
+
- 3.0
|
188 |
+
x5:
|
189 |
+
- 1.0
|
190 |
+
- 5.0
|
191 |
+
- 12.0
|
192 |
+
x50:
|
193 |
+
- 14.0
|
194 |
+
- 1.0
|
195 |
+
- 13.0
|
196 |
+
x51:
|
197 |
+
- 5.0
|
198 |
+
- 16.0
|
199 |
+
- 16.0
|
200 |
+
x52:
|
201 |
+
- 10.0
|
202 |
+
- 16.0
|
203 |
+
- 16.0
|
204 |
+
x53:
|
205 |
+
- 12.0
|
206 |
+
- 6.0
|
207 |
+
- 11.0
|
208 |
+
x54:
|
209 |
+
- 0.0
|
210 |
+
- 0.0
|
211 |
+
- 5.0
|
212 |
+
x55:
|
213 |
+
- 0.0
|
214 |
+
- 0.0
|
215 |
+
- 0.0
|
216 |
+
x56:
|
217 |
+
- 0.0
|
218 |
+
- 0.0
|
219 |
+
- 0.0
|
220 |
+
x57:
|
221 |
+
- 0.0
|
222 |
+
- 0.0
|
223 |
+
- 0.0
|
224 |
+
x58:
|
225 |
+
- 6.0
|
226 |
+
- 0.0
|
227 |
+
- 0.0
|
228 |
+
x59:
|
229 |
+
- 13.0
|
230 |
+
- 11.0
|
231 |
+
- 3.0
|
232 |
+
x6:
|
233 |
+
- 0.0
|
234 |
+
- 0.0
|
235 |
+
- 0.0
|
236 |
+
x60:
|
237 |
+
- 10.0
|
238 |
+
- 16.0
|
239 |
+
- 11.0
|
240 |
+
x61:
|
241 |
+
- 0.0
|
242 |
+
- 10.0
|
243 |
+
- 16.0
|
244 |
+
x62:
|
245 |
+
- 0.0
|
246 |
+
- 0.0
|
247 |
+
- 9.0
|
248 |
+
x63:
|
249 |
+
- 0.0
|
250 |
+
- 0.0
|
251 |
+
- 0.0
|
252 |
+
x7:
|
253 |
+
- 0.0
|
254 |
+
- 0.0
|
255 |
+
- 0.0
|
256 |
+
x8:
|
257 |
+
- 0.0
|
258 |
+
- 0.0
|
259 |
+
- 0.0
|
260 |
+
x9:
|
261 |
+
- 0.0
|
262 |
+
- 0.0
|
263 |
+
- 0.0
|
264 |
+
---
|
265 |
+
|
266 |
+
# Model description
|
267 |
+
|
268 |
+
[More Information Needed]
|
269 |
+
|
270 |
+
## Intended uses & limitations
|
271 |
+
|
272 |
+
[More Information Needed]
|
273 |
+
|
274 |
+
## Training Procedure
|
275 |
+
|
276 |
+
### Hyperparameters
|
277 |
+
|
278 |
+
The model is trained with below hyperparameters.
|
279 |
+
|
280 |
+
<details>
|
281 |
+
<summary> Click to expand </summary>
|
282 |
+
|
283 |
+
| Hyperparameter | Value |
|
284 |
+
|---------------------|----------|
|
285 |
+
| activation | relu |
|
286 |
+
| alpha | 0.0001 |
|
287 |
+
| batch_size | auto |
|
288 |
+
| beta_1 | 0.9 |
|
289 |
+
| beta_2 | 0.999 |
|
290 |
+
| early_stopping | False |
|
291 |
+
| epsilon | 1e-08 |
|
292 |
+
| hidden_layer_sizes | (100,) |
|
293 |
+
| learning_rate | constant |
|
294 |
+
| learning_rate_init | 0.001 |
|
295 |
+
| max_fun | 15000 |
|
296 |
+
| max_iter | 200 |
|
297 |
+
| momentum | 0.9 |
|
298 |
+
| n_iter_no_change | 10 |
|
299 |
+
| nesterovs_momentum | True |
|
300 |
+
| power_t | 0.5 |
|
301 |
+
| random_state | |
|
302 |
+
| shuffle | True |
|
303 |
+
| solver | adam |
|
304 |
+
| tol | 0.0001 |
|
305 |
+
| validation_fraction | 0.1 |
|
306 |
+
| verbose | False |
|
307 |
+
| warm_start | False |
|
308 |
+
|
309 |
+
</details>
|
310 |
+
|
311 |
+
### Model Plot
|
312 |
+
|
313 |
+
The model plot is below.
|
314 |
+
|
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<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 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-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#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;}#sk-container-id-1 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-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 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-1 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-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 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-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 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-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#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 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-1 div.sk-text-repr-fallback {display: none;}</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>MLPClassifier()</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-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label sk-toggleable__label-arrow">MLPClassifier</label><div class="sk-toggleable__content"><pre>MLPClassifier()</pre></div></div></div></div></div>
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# How to Get Started with the Model
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Use the code below to get started with the model.
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<details>
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<summary> Click to expand </summary>
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```python
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[More Information Needed]
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```
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</details>
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# Model Card Authors
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This model card is written by following authors:
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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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# Citation
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Below you can find information related to citation.
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**BibTeX:**
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```
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[More Information Needed]
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```
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