Alassea commited on
Commit
f0f597f
1 Parent(s): 5860fb5

Second attempt PassiveAggressive middle dutch NER

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Files changed (4) hide show
  1. README.md +18 -634
  2. config.json +24 -948
  3. confusion_matrix.png +0 -0
  4. middle_dutch_passAgg.pkl +2 -2
README.md CHANGED
@@ -8,9 +8,9 @@ model_file: middle_dutch_passAgg.pkl
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- - 0.0
23036
- - 0.0
23037
- - 0.0
23038
  x618:
23039
  - 0.0
23040
  - 0.0
23041
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23042
- x6180:
23043
- - 0.0
23044
- - 0.0
23045
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23046
- x6181:
23047
- - 0.0
23048
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23049
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23050
- x6182:
23051
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23052
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23054
- x6183:
23055
- - 0.0
23056
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23057
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23058
- x6184:
23059
- - 0.0
23060
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23061
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23062
- x6185:
23063
- - 0.0
23064
- - 0.0
23065
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23066
- x6186:
23067
- - 0.0
23068
- - 0.0
23069
- - 0.0
23070
  x619:
23071
  - 0.0
23072
  - 0.0
@@ -24798,7 +24182,7 @@ The model is trained with below hyperparameters.
24798
 
24799
  The model plot is below.
24800
 
24801
- <style>#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 {color: black;background-color: white;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 pre{padding: 0;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-toggleable {background-color: white;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 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-345d09ba-d4a7-4f2d-9259-794de583dcf9 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-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-item {z-index: 1;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-parallel-item:only-child::after {width: 0;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 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;position: relative;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-label-container {position: relative;z-index: 2;text-align: center;}#sk-345d09ba-d4a7-4f2d-9259-794de583dcf9 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-345d09ba-d4a7-4f2d-9259-794de583dcf9 div.sk-text-repr-fallback {display: none;}</style><div id="sk-345d09ba-d4a7-4f2d-9259-794de583dcf9" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>PassiveAggressiveClassifier(random_state=42)</pre><b>Please rerun this cell to show the HTML repr or trust the notebook.</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="604df118-8cea-43b6-abe2-8825c528e3af" type="checkbox" checked><label for="604df118-8cea-43b6-abe2-8825c528e3af" class="sk-toggleable__label sk-toggleable__label-arrow">PassiveAggressiveClassifier</label><div class="sk-toggleable__content"><pre>PassiveAggressiveClassifier(random_state=42)</pre></div></div></div></div></div>
24802
 
24803
  ## Evaluation Results
24804
 
@@ -24806,11 +24190,11 @@ You can find the details about evaluation process and the evaluation results.
24806
 
24807
  | Metric | Value |
24808
  |-------------------------|----------|
24809
- | accuracy including 'O' | 0.905037 |
24810
- | f1 score including 'O | 0.905037 |
24811
- | precision excluding 'O' | 0.832272 |
24812
- | recall excluding 'O' | 0.438152 |
24813
- | f1 excluding 'O' | 0.574079 |
24814
 
24815
  ### Confusion Matrix
24816
 
 
8
  widget:
9
  structuredData:
10
  x0:
11
+ - 61.0
12
+ - 14.0
13
+ - 116.0
14
  x1:
15
  - 0.0
16
  - 0.0
 
596
  - 0.0
597
  - 0.0
598
  x113:
599
+ - 0.0
600
  - 0.0
601
  - 0.0
602
  x1130:
 
4014
  x19:
4015
  - 0.0
4016
  - 0.0
4017
+ - 0.0
4018
  x190:
4019
  - 0.0
4020
  - 0.0
 
9180
  - 0.0
9181
  - 0.0
9182
  x3061:
9183
+ - 1.0
9184
  - 0.0
9185
  - 0.0
9186
  x3062:
 
9864
  - 0.0
9865
  - 0.0
9866
  x3215:
9867
+ - 0.0
9868
  - 0.0
9869
  - 0.0
9870
  x3216:
 
10501
  - 0.0
10502
  x3359:
10503
  - 0.0
10504
+ - 1.0
10505
  - 0.0
10506
  x336:
10507
  - 0.0
 
11189
  - 0.0
11190
  x3513:
11191
  - 0.0
11192
+ - 0.0
11193
  - 0.0
11194
  x3514:
11195
  - 0.0
 
15442
  x4470:
15443
  - 0.0
15444
  - 0.0
15445
+ - 1.0
15446
  x4471:
15447
  - 0.0
15448
  - 0.0
 
15569
  - 0.0
15570
  x45:
15571
  - 0.0
15572
+ - 0.0
15573
  - 0.0
15574
  x450:
15575
  - 0.0
 
16126
  x4624:
16127
  - 0.0
16128
  - 0.0
16129
+ - 0.0
16130
  x4625:
16131
  - 0.0
16132
  - 0.0
 
22387
  - 0.0
22388
  - 0.0
22389
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22390
  x604:
22391
  - 0.0
22392
  - 0.0
22393
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22394
  x605:
22395
  - 0.0
22396
  - 0.0
22397
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22398
  x606:
22399
  - 0.0
22400
  - 0.0
22401
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22402
  x607:
22403
  - 0.0
22404
  - 0.0
22405
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22406
  x608:
22407
  - 0.0
22408
  - 0.0
22409
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22410
  x609:
22411
  - 0.0
22412
  - 0.0
22413
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22414
  x61:
22415
  - 0.0
22416
  - 0.0
 
22419
  - 0.0
22420
  - 0.0
22421
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22422
  x611:
22423
  - 0.0
22424
  - 0.0
22425
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22426
  x612:
22427
  - 0.0
22428
  - 0.0
22429
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22430
  x613:
22431
  - 0.0
22432
  - 0.0
22433
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22434
  x614:
22435
  - 0.0
22436
  - 0.0
22437
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22438
  x615:
22439
  - 0.0
22440
  - 0.0
22441
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22442
  x616:
22443
  - 0.0
22444
  - 0.0
22445
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22446
  x617:
22447
  - 0.0
22448
  - 0.0
22449
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22450
  x618:
22451
  - 0.0
22452
  - 0.0
22453
  - 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22454
  x619:
22455
  - 0.0
22456
  - 0.0
 
24182
 
24183
  The model plot is below.
24184
 
24185
+ <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" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>PassiveAggressiveClassifier(random_state=42)</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">PassiveAggressiveClassifier</label><div class="sk-toggleable__content"><pre>PassiveAggressiveClassifier(random_state=42)</pre></div></div></div></div></div>
24186
 
24187
  ## Evaluation Results
24188
 
 
24190
 
24191
  | Metric | Value |
24192
  |-------------------------|----------|
24193
+ | accuracy including 'O' | 0.901851 |
24194
+ | f1 score including 'O | 0.901851 |
24195
+ | precision excluding 'O' | 0.647887 |
24196
+ | recall excluding 'O' | 0.572852 |
24197
+ | f1 excluding 'O' | 0.608063 |
24198
 
24199
  ### Confusion Matrix
24200
 
config.json CHANGED
@@ -6033,170 +6033,16 @@
6033
  "x6029",
6034
  "x6030",
6035
  "x6031",
6036
- "x6032",
6037
- "x6033",
6038
- "x6034",
6039
- "x6035",
6040
- "x6036",
6041
- "x6037",
6042
- "x6038",
6043
- "x6039",
6044
- "x6040",
6045
- "x6041",
6046
- "x6042",
6047
- "x6043",
6048
- "x6044",
6049
- "x6045",
6050
- "x6046",
6051
- "x6047",
6052
- "x6048",
6053
- "x6049",
6054
- "x6050",
6055
- "x6051",
6056
- "x6052",
6057
- "x6053",
6058
- "x6054",
6059
- "x6055",
6060
- "x6056",
6061
- "x6057",
6062
- "x6058",
6063
- "x6059",
6064
- "x6060",
6065
- "x6061",
6066
- "x6062",
6067
- "x6063",
6068
- "x6064",
6069
- "x6065",
6070
- "x6066",
6071
- "x6067",
6072
- "x6068",
6073
- "x6069",
6074
- "x6070",
6075
- "x6071",
6076
- "x6072",
6077
- "x6073",
6078
- "x6074",
6079
- "x6075",
6080
- "x6076",
6081
- "x6077",
6082
- "x6078",
6083
- "x6079",
6084
- "x6080",
6085
- "x6081",
6086
- "x6082",
6087
- "x6083",
6088
- "x6084",
6089
- "x6085",
6090
- "x6086",
6091
- "x6087",
6092
- "x6088",
6093
- "x6089",
6094
- "x6090",
6095
- "x6091",
6096
- "x6092",
6097
- "x6093",
6098
- "x6094",
6099
- "x6095",
6100
- "x6096",
6101
- "x6097",
6102
- "x6098",
6103
- "x6099",
6104
- "x6100",
6105
- "x6101",
6106
- "x6102",
6107
- "x6103",
6108
- "x6104",
6109
- "x6105",
6110
- "x6106",
6111
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6112
- "x6108",
6113
- "x6109",
6114
- "x6110",
6115
- "x6111",
6116
- "x6112",
6117
- "x6113",
6118
- "x6114",
6119
- "x6115",
6120
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6121
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6122
- "x6118",
6123
- "x6119",
6124
- "x6120",
6125
- "x6121",
6126
- "x6122",
6127
- "x6123",
6128
- "x6124",
6129
- "x6125",
6130
- "x6126",
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