Upload . with huggingface_hub
Browse files- README.md +232 -0
- config.json +195 -0
- confusion_matrix.png +0 -0
- feature_importances.png +0 -0
- model.pkl +3 -0
- tree.png +0 -0
README.md
ADDED
|
@@ -0,0 +1,232 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: sklearn
|
| 3 |
+
tags:
|
| 4 |
+
- sklearn
|
| 5 |
+
- skops
|
| 6 |
+
- tabular-classification
|
| 7 |
+
model_file: model.pkl
|
| 8 |
+
widget:
|
| 9 |
+
structuredData:
|
| 10 |
+
x0:
|
| 11 |
+
- 19.89
|
| 12 |
+
- 12.89
|
| 13 |
+
- 17.14
|
| 14 |
+
x1:
|
| 15 |
+
- 20.26
|
| 16 |
+
- 13.12
|
| 17 |
+
- 16.4
|
| 18 |
+
x10:
|
| 19 |
+
- 0.5079
|
| 20 |
+
- 0.1532
|
| 21 |
+
- 1.046
|
| 22 |
+
x11:
|
| 23 |
+
- 0.8737
|
| 24 |
+
- 0.469
|
| 25 |
+
- 0.976
|
| 26 |
+
x12:
|
| 27 |
+
- 3.654
|
| 28 |
+
- 1.115
|
| 29 |
+
- 7.276
|
| 30 |
+
x13:
|
| 31 |
+
- 59.7
|
| 32 |
+
- 12.68
|
| 33 |
+
- 111.4
|
| 34 |
+
x14:
|
| 35 |
+
- 0.005089
|
| 36 |
+
- 0.004731
|
| 37 |
+
- 0.008029
|
| 38 |
+
x15:
|
| 39 |
+
- 0.02303
|
| 40 |
+
- 0.01345
|
| 41 |
+
- 0.03799
|
| 42 |
+
x16:
|
| 43 |
+
- 0.03052
|
| 44 |
+
- 0.01652
|
| 45 |
+
- 0.03732
|
| 46 |
+
x17:
|
| 47 |
+
- 0.01178
|
| 48 |
+
- 0.005905
|
| 49 |
+
- 0.02397
|
| 50 |
+
x18:
|
| 51 |
+
- 0.01057
|
| 52 |
+
- 0.01619
|
| 53 |
+
- 0.02308
|
| 54 |
+
x19:
|
| 55 |
+
- 0.003391
|
| 56 |
+
- 0.002081
|
| 57 |
+
- 0.007444
|
| 58 |
+
x2:
|
| 59 |
+
- 130.5
|
| 60 |
+
- 81.89
|
| 61 |
+
- 116.0
|
| 62 |
+
x20:
|
| 63 |
+
- 23.73
|
| 64 |
+
- 13.62
|
| 65 |
+
- 22.25
|
| 66 |
+
x21:
|
| 67 |
+
- 25.23
|
| 68 |
+
- 15.54
|
| 69 |
+
- 21.4
|
| 70 |
+
x22:
|
| 71 |
+
- 160.5
|
| 72 |
+
- 87.4
|
| 73 |
+
- 152.4
|
| 74 |
+
x23:
|
| 75 |
+
- 1646.0
|
| 76 |
+
- 577.0
|
| 77 |
+
- 1461.0
|
| 78 |
+
x24:
|
| 79 |
+
- 0.1417
|
| 80 |
+
- 0.09616
|
| 81 |
+
- 0.1545
|
| 82 |
+
x25:
|
| 83 |
+
- 0.3309
|
| 84 |
+
- 0.1147
|
| 85 |
+
- 0.3949
|
| 86 |
+
x26:
|
| 87 |
+
- 0.4185
|
| 88 |
+
- 0.1186
|
| 89 |
+
- 0.3853
|
| 90 |
+
x27:
|
| 91 |
+
- 0.1613
|
| 92 |
+
- 0.05366
|
| 93 |
+
- 0.255
|
| 94 |
+
x28:
|
| 95 |
+
- 0.2549
|
| 96 |
+
- 0.2309
|
| 97 |
+
- 0.4066
|
| 98 |
+
x29:
|
| 99 |
+
- 0.09136
|
| 100 |
+
- 0.06915
|
| 101 |
+
- 0.1059
|
| 102 |
+
x3:
|
| 103 |
+
- 1214.0
|
| 104 |
+
- 515.9
|
| 105 |
+
- 912.7
|
| 106 |
+
x4:
|
| 107 |
+
- 0.1037
|
| 108 |
+
- 0.06955
|
| 109 |
+
- 0.1186
|
| 110 |
+
x5:
|
| 111 |
+
- 0.131
|
| 112 |
+
- 0.03729
|
| 113 |
+
- 0.2276
|
| 114 |
+
x6:
|
| 115 |
+
- 0.1411
|
| 116 |
+
- 0.0226
|
| 117 |
+
- 0.2229
|
| 118 |
+
x7:
|
| 119 |
+
- 0.09431
|
| 120 |
+
- 0.01171
|
| 121 |
+
- 0.1401
|
| 122 |
+
x8:
|
| 123 |
+
- 0.1802
|
| 124 |
+
- 0.1337
|
| 125 |
+
- 0.304
|
| 126 |
+
x9:
|
| 127 |
+
- 0.06188
|
| 128 |
+
- 0.05581
|
| 129 |
+
- 0.07413
|
| 130 |
+
---
|
| 131 |
+
|
| 132 |
+
# Model description
|
| 133 |
+
|
| 134 |
+
This is a Decision Tree Classifier trained on breast cancer dataset and pruned with CCP.
|
| 135 |
+
|
| 136 |
+
## Intended uses & limitations
|
| 137 |
+
|
| 138 |
+
This model is trained for educational purposes.
|
| 139 |
+
|
| 140 |
+
## Training Procedure
|
| 141 |
+
|
| 142 |
+
### Hyperparameters
|
| 143 |
+
|
| 144 |
+
The model is trained with below hyperparameters.
|
| 145 |
+
|
| 146 |
+
<details>
|
| 147 |
+
<summary> Click to expand </summary>
|
| 148 |
+
|
| 149 |
+
| Hyperparameter | Value |
|
| 150 |
+
|--------------------------|---------|
|
| 151 |
+
| ccp_alpha | 0.0 |
|
| 152 |
+
| class_weight | |
|
| 153 |
+
| criterion | gini |
|
| 154 |
+
| max_depth | |
|
| 155 |
+
| max_features | |
|
| 156 |
+
| max_leaf_nodes | |
|
| 157 |
+
| min_impurity_decrease | 0.0 |
|
| 158 |
+
| min_impurity_split | |
|
| 159 |
+
| min_samples_leaf | 1 |
|
| 160 |
+
| min_samples_split | 2 |
|
| 161 |
+
| min_weight_fraction_leaf | 0.0 |
|
| 162 |
+
| random_state | 0 |
|
| 163 |
+
| splitter | best |
|
| 164 |
+
|
| 165 |
+
</details>
|
| 166 |
+
|
| 167 |
+
### Model Plot
|
| 168 |
+
|
| 169 |
+
The model plot is below.
|
| 170 |
+
|
| 171 |
+
<style>div.sk-top-container {color: black;background-color: white;}div.sk-toggleable {background-color: white;}label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.2em 0.3em;box-sizing: border-box;text-align: center;}div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}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;}div.sk-estimator {font-family: monospace;background-color: #f0f8ff;margin: 0.25em 0.25em;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;}div.sk-estimator:hover {background-color: #d4ebff;}div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;}div.sk-item {z-index: 1;}div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}div.sk-parallel-item:only-child::after {width: 0;}div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0.2em;box-sizing: border-box;padding-bottom: 0.1em;background-color: white;position: relative;}div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}div.sk-label-container {position: relative;z-index: 2;text-align: center;}div.sk-container {display: inline-block;position: relative;}</style><div class="sk-top-container"><div class="sk-container"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="2f21b6bf-6c69-42c6-8cc3-1024ae9f4a92" type="checkbox" checked><label class="sk-toggleable__label" for="2f21b6bf-6c69-42c6-8cc3-1024ae9f4a92">DecisionTreeClassifier</label><div class="sk-toggleable__content"><pre>DecisionTreeClassifier(random_state=0)</pre></div></div></div></div></div>
|
| 172 |
+
|
| 173 |
+
## Evaluation Results
|
| 174 |
+
|
| 175 |
+
You can find the details about evaluation process and the evaluation results.
|
| 176 |
+
|
| 177 |
+
|
| 178 |
+
|
| 179 |
+
| Metric | Value |
|
| 180 |
+
|----------|----------|
|
| 181 |
+
| accuracy | 0.937063 |
|
| 182 |
+
| f1 score | 0.937063 |
|
| 183 |
+
|
| 184 |
+
# How to Get Started with the Model
|
| 185 |
+
|
| 186 |
+
Use the code below to get started with the model.
|
| 187 |
+
|
| 188 |
+
```python
|
| 189 |
+
import joblib
|
| 190 |
+
import json
|
| 191 |
+
import pandas as pd
|
| 192 |
+
clf = joblib.load(model.pkl)
|
| 193 |
+
with open("config.json") as f:
|
| 194 |
+
config = json.load(f)
|
| 195 |
+
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))
|
| 196 |
+
```
|
| 197 |
+
|
| 198 |
+
|
| 199 |
+
# Model Card Authors
|
| 200 |
+
|
| 201 |
+
This model card is written by following authors:
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
# Model Card Contact
|
| 206 |
+
|
| 207 |
+
You can contact the model card authors through following channels:
|
| 208 |
+
[More Information Needed]
|
| 209 |
+
|
| 210 |
+
# Citation
|
| 211 |
+
|
| 212 |
+
Below you can find information related to citation.
|
| 213 |
+
|
| 214 |
+
**BibTeX:**
|
| 215 |
+
```
|
| 216 |
+
[More Information Needed]
|
| 217 |
+
```
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
# Additional Content
|
| 221 |
+
|
| 222 |
+
## Feature Importances
|
| 223 |
+
|
| 224 |
+

|
| 225 |
+
|
| 226 |
+
## Tree Splits
|
| 227 |
+
|
| 228 |
+

|
| 229 |
+
|
| 230 |
+
## Confusion Matrix
|
| 231 |
+
|
| 232 |
+

|
config.json
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"sklearn": {
|
| 3 |
+
"columns": [
|
| 4 |
+
"x0",
|
| 5 |
+
"x1",
|
| 6 |
+
"x2",
|
| 7 |
+
"x3",
|
| 8 |
+
"x4",
|
| 9 |
+
"x5",
|
| 10 |
+
"x6",
|
| 11 |
+
"x7",
|
| 12 |
+
"x8",
|
| 13 |
+
"x9",
|
| 14 |
+
"x10",
|
| 15 |
+
"x11",
|
| 16 |
+
"x12",
|
| 17 |
+
"x13",
|
| 18 |
+
"x14",
|
| 19 |
+
"x15",
|
| 20 |
+
"x16",
|
| 21 |
+
"x17",
|
| 22 |
+
"x18",
|
| 23 |
+
"x19",
|
| 24 |
+
"x20",
|
| 25 |
+
"x21",
|
| 26 |
+
"x22",
|
| 27 |
+
"x23",
|
| 28 |
+
"x24",
|
| 29 |
+
"x25",
|
| 30 |
+
"x26",
|
| 31 |
+
"x27",
|
| 32 |
+
"x28",
|
| 33 |
+
"x29"
|
| 34 |
+
],
|
| 35 |
+
"environment": [
|
| 36 |
+
"scikit-learn"
|
| 37 |
+
],
|
| 38 |
+
"example_input": {
|
| 39 |
+
"x0": [
|
| 40 |
+
19.89,
|
| 41 |
+
12.89,
|
| 42 |
+
17.14
|
| 43 |
+
],
|
| 44 |
+
"x1": [
|
| 45 |
+
20.26,
|
| 46 |
+
13.12,
|
| 47 |
+
16.4
|
| 48 |
+
],
|
| 49 |
+
"x10": [
|
| 50 |
+
0.5079,
|
| 51 |
+
0.1532,
|
| 52 |
+
1.046
|
| 53 |
+
],
|
| 54 |
+
"x11": [
|
| 55 |
+
0.8737,
|
| 56 |
+
0.469,
|
| 57 |
+
0.976
|
| 58 |
+
],
|
| 59 |
+
"x12": [
|
| 60 |
+
3.654,
|
| 61 |
+
1.115,
|
| 62 |
+
7.276
|
| 63 |
+
],
|
| 64 |
+
"x13": [
|
| 65 |
+
59.7,
|
| 66 |
+
12.68,
|
| 67 |
+
111.4
|
| 68 |
+
],
|
| 69 |
+
"x14": [
|
| 70 |
+
0.005089,
|
| 71 |
+
0.004731,
|
| 72 |
+
0.008029
|
| 73 |
+
],
|
| 74 |
+
"x15": [
|
| 75 |
+
0.02303,
|
| 76 |
+
0.01345,
|
| 77 |
+
0.03799
|
| 78 |
+
],
|
| 79 |
+
"x16": [
|
| 80 |
+
0.03052,
|
| 81 |
+
0.01652,
|
| 82 |
+
0.03732
|
| 83 |
+
],
|
| 84 |
+
"x17": [
|
| 85 |
+
0.01178,
|
| 86 |
+
0.005905,
|
| 87 |
+
0.02397
|
| 88 |
+
],
|
| 89 |
+
"x18": [
|
| 90 |
+
0.01057,
|
| 91 |
+
0.01619,
|
| 92 |
+
0.02308
|
| 93 |
+
],
|
| 94 |
+
"x19": [
|
| 95 |
+
0.003391,
|
| 96 |
+
0.002081,
|
| 97 |
+
0.007444
|
| 98 |
+
],
|
| 99 |
+
"x2": [
|
| 100 |
+
130.5,
|
| 101 |
+
81.89,
|
| 102 |
+
116.0
|
| 103 |
+
],
|
| 104 |
+
"x20": [
|
| 105 |
+
23.73,
|
| 106 |
+
13.62,
|
| 107 |
+
22.25
|
| 108 |
+
],
|
| 109 |
+
"x21": [
|
| 110 |
+
25.23,
|
| 111 |
+
15.54,
|
| 112 |
+
21.4
|
| 113 |
+
],
|
| 114 |
+
"x22": [
|
| 115 |
+
160.5,
|
| 116 |
+
87.4,
|
| 117 |
+
152.4
|
| 118 |
+
],
|
| 119 |
+
"x23": [
|
| 120 |
+
1646.0,
|
| 121 |
+
577.0,
|
| 122 |
+
1461.0
|
| 123 |
+
],
|
| 124 |
+
"x24": [
|
| 125 |
+
0.1417,
|
| 126 |
+
0.09616,
|
| 127 |
+
0.1545
|
| 128 |
+
],
|
| 129 |
+
"x25": [
|
| 130 |
+
0.3309,
|
| 131 |
+
0.1147,
|
| 132 |
+
0.3949
|
| 133 |
+
],
|
| 134 |
+
"x26": [
|
| 135 |
+
0.4185,
|
| 136 |
+
0.1186,
|
| 137 |
+
0.3853
|
| 138 |
+
],
|
| 139 |
+
"x27": [
|
| 140 |
+
0.1613,
|
| 141 |
+
0.05366,
|
| 142 |
+
0.255
|
| 143 |
+
],
|
| 144 |
+
"x28": [
|
| 145 |
+
0.2549,
|
| 146 |
+
0.2309,
|
| 147 |
+
0.4066
|
| 148 |
+
],
|
| 149 |
+
"x29": [
|
| 150 |
+
0.09136,
|
| 151 |
+
0.06915,
|
| 152 |
+
0.1059
|
| 153 |
+
],
|
| 154 |
+
"x3": [
|
| 155 |
+
1214.0,
|
| 156 |
+
515.9,
|
| 157 |
+
912.7
|
| 158 |
+
],
|
| 159 |
+
"x4": [
|
| 160 |
+
0.1037,
|
| 161 |
+
0.06955,
|
| 162 |
+
0.1186
|
| 163 |
+
],
|
| 164 |
+
"x5": [
|
| 165 |
+
0.131,
|
| 166 |
+
0.03729,
|
| 167 |
+
0.2276
|
| 168 |
+
],
|
| 169 |
+
"x6": [
|
| 170 |
+
0.1411,
|
| 171 |
+
0.0226,
|
| 172 |
+
0.2229
|
| 173 |
+
],
|
| 174 |
+
"x7": [
|
| 175 |
+
0.09431,
|
| 176 |
+
0.01171,
|
| 177 |
+
0.1401
|
| 178 |
+
],
|
| 179 |
+
"x8": [
|
| 180 |
+
0.1802,
|
| 181 |
+
0.1337,
|
| 182 |
+
0.304
|
| 183 |
+
],
|
| 184 |
+
"x9": [
|
| 185 |
+
0.06188,
|
| 186 |
+
0.05581,
|
| 187 |
+
0.07413
|
| 188 |
+
]
|
| 189 |
+
},
|
| 190 |
+
"model": {
|
| 191 |
+
"file": "model.pkl"
|
| 192 |
+
},
|
| 193 |
+
"task": "tabular-classification"
|
| 194 |
+
}
|
| 195 |
+
}
|
confusion_matrix.png
ADDED
|
feature_importances.png
ADDED
|
model.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63d7dab53252fa382eef394c93d5768be35eacbb0416ca85fa125386b52e8a16
|
| 3 |
+
size 3887
|
tree.png
ADDED
|