Update repo, remove files
Browse files- best/config.json +0 -41
- best/model.safetensors +0 -3
- best/optimizer.pt +0 -3
- best/results.txt +0 -6
- best/rng_state.pth +0 -3
- best/scheduler.pt +0 -3
- best/trainer_state.json +0 -102
- best/training_args.bin +0 -3
- config.json +0 -41
- config/config.json +0 -32
- eval.txt +0 -6
- logs/best_model.ca.txt +0 -6
- logs/best_model.en.txt +0 -6
- logs/best_model.es.txt +0 -6
- logs/best_model.fr.txt +0 -6
- logs/best_model.it.txt +0 -6
- logs/best_model.la.txt +0 -6
- logs/best_model.pt.txt +0 -6
- logs/best_model.txt +0 -6
- logs/resultats_ambiguite_ca.txt +0 -170
- logs/resultats_ambiguite_en.txt +0 -146
- logs/resultats_ambiguite_es.txt +0 -346
- logs/resultats_ambiguite_fr.txt +0 -290
- logs/resultats_ambiguite_it.txt +0 -194
- logs/resultats_ambiguite_la.txt +0 -274
- logs/resultats_ambiguite_pt.txt +0 -218
- metrics.json +0 -1
- model.safetensors +0 -3
- model_name +0 -1
- optimizer.pt +0 -3
- results.txt +0 -6
- rng_state.pth +0 -3
- scheduler.pt +0 -3
- trainer_state.json +0 -135
- training_args.bin +0 -3
best/config.json
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{
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"_name_or_path": "google-bert/bert-base-multilingual-cased",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"layer_norm_eps": 1e-12,
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best/model.safetensors
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best/optimizer.pt
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best/results.txt
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Best model on test data
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| | Segment Content | Segment Boundary |
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|-----------+-------------------+--------------------|
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| Precision | 0.978927 | 0.873686 |
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| Recall | 0.977169 | 0.882456 |
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| F1 | 0.978047 | 0.878049 |
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best/rng_state.pth
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best/scheduler.pt
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best/trainer_state.json
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best/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5763725c515a937150f79fea1f991ee3aa99eeccb0bf79fe7c648e4d071573f
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size 5869
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config.json
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{
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"_name_or_path": "google-bert/bert-base-multilingual-cased",
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"architectures": [
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"BertForTokenClassification"
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config/config.json
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{
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"import": "/projects/users/mgillele/Aquilign",
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"base_model_name": "google-bert/bert-base-multilingual-cased",
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"out_dir": "/projects/users/mgillele/trash/test_segmenter",
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"device": "cuda:0",
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eval.txt
DELETED
|
@@ -1,6 +0,0 @@
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|
| 1 |
-
| | Synt (None, Delim.) | Bert (None, Delim., Pad.) |
|
| 2 |
-
|-----------+------------------------------------------------+-----------------------------------------------|
|
| 3 |
-
| Accuracy | 0.976800588896207 | 0.9932784225057487 |
|
| 4 |
-
| Precision | [0.9004062759534017, 0.6344567522979024, 1.0] | [0.9817984308992155, 0.8651105984529787, 1.0] |
|
| 5 |
-
| Recall | [0.9627745109804392, 0.3776125683826624, 1.0] | [0.9761430457218289, 0.8942348155421518, 1.0] |
|
| 6 |
-
| F1-score | [0.9305465342859794, 0.47344354555047485, 1.0] | [0.9789625707064629, 0.8794316457442406, 1.0] |
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logs/best_model.ca.txt
DELETED
|
@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for ca:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.985556 | 0.863366 |
|
| 5 |
-
| Recall | 0.986337 | 0.856582 |
|
| 6 |
-
| F1 | 0.985946 | 0.859961 |
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logs/best_model.en.txt
DELETED
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@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for en:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.980357 | 0.843931 |
|
| 5 |
-
| Recall | 0.979091 | 0.85214 |
|
| 6 |
-
| F1 | 0.979724 | 0.848015 |
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logs/best_model.es.txt
DELETED
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@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for es:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.981673 | 0.870741 |
|
| 5 |
-
| Recall | 0.981948 | 0.869 |
|
| 6 |
-
| F1 | 0.981811 | 0.86987 |
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logs/best_model.fr.txt
DELETED
|
@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for fr:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.994157 | 0.920113 |
|
| 5 |
-
| Recall | 0.991603 | 0.94316 |
|
| 6 |
-
| F1 | 0.992878 | 0.931494 |
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logs/best_model.it.txt
DELETED
|
@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for it:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.986436 | 0.862772 |
|
| 5 |
-
| Recall | 0.985592 | 0.869863 |
|
| 6 |
-
| F1 | 0.986014 | 0.866303 |
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logs/best_model.la.txt
DELETED
|
@@ -1,6 +0,0 @@
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|
| 1 |
-
Best model on test data for la:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.987503 | 0.846517 |
|
| 5 |
-
| Recall | 0.982618 | 0.885185 |
|
| 6 |
-
| F1 | 0.985055 | 0.865419 |
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logs/best_model.pt.txt
DELETED
|
@@ -1,6 +0,0 @@
|
|
| 1 |
-
Best model on test data for pt:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.984846 | 0.906298 |
|
| 5 |
-
| Recall | 0.989078 | 0.874074 |
|
| 6 |
-
| F1 | 0.986957 | 0.889894 |
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logs/best_model.txt
DELETED
|
@@ -1,6 +0,0 @@
|
|
| 1 |
-
Best model on test data
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.99073 | 0.884803 |
|
| 5 |
-
| Recall | 0.986411 | 0.91858 |
|
| 6 |
-
| F1 | 0.988566 | 0.901375 |
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logs/resultats_ambiguite_ca.txt
DELETED
|
@@ -1,170 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9171884745092317.
|
| 2 |
-
|
| 3 |
-
Results for que: accuracy 0.8761061946902655
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.894737 | 0.857143 |
|
| 7 |
-
| Recall | 0.864407 | 0.888889 |
|
| 8 |
-
| F1 | 0.87931 | 0.872727 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for e: accuracy 0.8957055214723927
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.855263 | 0.931034 |
|
| 15 |
-
| Recall | 0.915493 | 0.880435 |
|
| 16 |
-
| F1 | 0.884354 | 0.905028 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for per: accuracy 0.9473684210526315
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.942029 | 0.961538 |
|
| 23 |
-
| Recall | 0.984848 | 0.862069 |
|
| 24 |
-
| F1 | 0.962963 | 0.909091 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for cor: accuracy 1.0
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 1 | 1 |
|
| 31 |
-
| Recall | 1 | 1 |
|
| 32 |
-
| F1 | 1 | 1 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for de: accuracy 0.9661016949152542
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.982301 | 0.6 |
|
| 39 |
-
| Recall | 0.982301 | 0.6 |
|
| 40 |
-
| F1 | 0.982301 | 0.6 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for qui: accuracy 0.9090909090909091
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.833333 | 0.952381 |
|
| 47 |
-
| Recall | 0.909091 | 0.909091 |
|
| 48 |
-
| F1 | 0.869565 | 0.930233 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for &: accuracy 0.6470588235294118
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.5 | 0.777778 |
|
| 55 |
-
| Recall | 0.666667 | 0.636364 |
|
| 56 |
-
| F1 | 0.571429 | 0.7 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for en: accuracy 0.8904109589041096
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.9375 | 0.555556 |
|
| 63 |
-
| Recall | 0.9375 | 0.555556 |
|
| 64 |
-
| F1 | 0.9375 | 0.555556 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for a: accuracy 0.95
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.973333 | 0.6 |
|
| 71 |
-
| Recall | 0.973333 | 0.6 |
|
| 72 |
-
| F1 | 0.973333 | 0.6 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for lo: accuracy 0.9814814814814815
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 0.666667 |
|
| 79 |
-
| Recall | 0.980769 | 1 |
|
| 80 |
-
| F1 | 0.990291 | 0.8 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for no: accuracy 0.9318181818181818
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.974359 | 0.6 |
|
| 87 |
-
| Recall | 0.95 | 0.75 |
|
| 88 |
-
| F1 | 0.962025 | 0.666667 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for con: accuracy 0.9047619047619048
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 1 | 0.714286 |
|
| 95 |
-
| Recall | 0.875 | 1 |
|
| 96 |
-
| F1 | 0.933333 | 0.833333 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for ne: accuracy 0.8695652173913043
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 | 0.571429 |
|
| 103 |
-
| Recall | 0.842105 | 1 |
|
| 104 |
-
| F1 | 0.914286 | 0.727273 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for E: accuracy 0.9230769230769231
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0 | 1 |
|
| 111 |
-
| Recall | 0 | 0.923077 |
|
| 112 |
-
| F1 | 0 | 0.96 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for los: accuracy 0.9722222222222222
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 1 | 0.666667 |
|
| 119 |
-
| Recall | 0.970588 | 1 |
|
| 120 |
-
| F1 | 0.985075 | 0.8 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for so: accuracy 1.0
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 1 | 1 |
|
| 127 |
-
| Recall | 1 | 1 |
|
| 128 |
-
| F1 | 1 | 1 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for ab: accuracy 0.9655172413793104
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 1 | 0.75 |
|
| 135 |
-
| Recall | 0.961538 | 1 |
|
| 136 |
-
| F1 | 0.980392 | 0.857143 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for si: accuracy 1.0
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 1 |
|
| 143 |
-
| Recall | 1 | 1 |
|
| 144 |
-
| F1 | 1 | 1 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for De: accuracy 0.95
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.9375 | 1 |
|
| 151 |
-
| Recall | 1 | 0.8 |
|
| 152 |
-
| F1 | 0.967742 | 0.888889 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for fil: accuracy 0.8235294117647058
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 1 | 0 |
|
| 159 |
-
| Recall | 0.823529 | 0 |
|
| 160 |
-
| F1 | 0.903226 | 0 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for se: accuracy 0.8571428571428571
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 0.333333 |
|
| 167 |
-
| Recall | 0.846154 | 1 |
|
| 168 |
-
| F1 | 0.916667 | 0.5 |
|
| 169 |
-
|
| 170 |
-
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logs/resultats_ambiguite_en.txt
DELETED
|
@@ -1,146 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.883864562617454.
|
| 2 |
-
|
| 3 |
-
Results for that: accuracy 0.8452380952380952
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.72973 | 0.93617 |
|
| 7 |
-
| Recall | 0.9 | 0.814815 |
|
| 8 |
-
| F1 | 0.80597 | 0.871287 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for and: accuracy 0.8809523809523809
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.744681 | 0.962025 |
|
| 15 |
-
| Recall | 0.921053 | 0.863636 |
|
| 16 |
-
| F1 | 0.823529 | 0.91018 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for to: accuracy 0.7976190476190477
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.827586 | 0.730769 |
|
| 23 |
-
| Recall | 0.872727 | 0.655172 |
|
| 24 |
-
| F1 | 0.849558 | 0.690909 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for of: accuracy 0.8823529411764706
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.929412 | 0.647059 |
|
| 31 |
-
| Recall | 0.929412 | 0.647059 |
|
| 32 |
-
| F1 | 0.929412 | 0.647059 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for as: accuracy 0.875
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.923077 | 0.818182 |
|
| 39 |
-
| Recall | 0.857143 | 0.9 |
|
| 40 |
-
| F1 | 0.888889 | 0.857143 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for þ: accuracy 0.9318181818181818
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.974026 | 0.636364 |
|
| 47 |
-
| Recall | 0.949367 | 0.777778 |
|
| 48 |
-
| F1 | 0.961538 | 0.7 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for w: accuracy 0.9565217391304348
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 0.9 |
|
| 55 |
-
| Recall | 0.928571 | 1 |
|
| 56 |
-
| F1 | 0.962963 | 0.947368 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for in: accuracy 0.7446808510638298
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.878788 | 0.428571 |
|
| 63 |
-
| Recall | 0.783784 | 0.6 |
|
| 64 |
-
| F1 | 0.828571 | 0.5 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for he: accuracy 1.0
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 1 | 1 |
|
| 71 |
-
| Recall | 1 | 1 |
|
| 72 |
-
| F1 | 1 | 1 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for is: accuracy 0.8181818181818182
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.92 | 0.5 |
|
| 79 |
-
| Recall | 0.851852 | 0.666667 |
|
| 80 |
-
| F1 | 0.884615 | 0.571429 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for I: accuracy 0.9333333333333333
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.833333 | 1 |
|
| 87 |
-
| Recall | 1 | 0.9 |
|
| 88 |
-
| F1 | 0.909091 | 0.947368 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for for: accuracy 0.9333333333333333
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.8 | 0.96 |
|
| 95 |
-
| Recall | 0.8 | 0.96 |
|
| 96 |
-
| F1 | 0.8 | 0.96 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for men: accuracy 0.8947368421052632
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 | 0.666667 |
|
| 103 |
-
| Recall | 0.866667 | 1 |
|
| 104 |
-
| F1 | 0.928571 | 0.8 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for by: accuracy 0.9230769230769231
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 1 | 0.8 |
|
| 111 |
-
| Recall | 0.888889 | 1 |
|
| 112 |
-
| F1 | 0.941176 | 0.888889 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for was: accuracy 0.8
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.933333 | 0.4 |
|
| 119 |
-
| Recall | 0.823529 | 0.666667 |
|
| 120 |
-
| F1 | 0.875 | 0.5 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for Y: accuracy 0.8888888888888888
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 1 | 0.8 |
|
| 127 |
-
| Recall | 0.8 | 1 |
|
| 128 |
-
| F1 | 0.888889 | 0.888889 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for s: accuracy 0.8947368421052632
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.9375 | 0.666667 |
|
| 135 |
-
| Recall | 0.9375 | 0.666667 |
|
| 136 |
-
| F1 | 0.9375 | 0.666667 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for alle: accuracy 0.9090909090909091
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 0.875 | 1 |
|
| 143 |
-
| Recall | 1 | 0.75 |
|
| 144 |
-
| F1 | 0.933333 | 0.857143 |
|
| 145 |
-
|
| 146 |
-
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|
logs/resultats_ambiguite_es.txt
DELETED
|
@@ -1,346 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9093934588166207.
|
| 2 |
-
|
| 3 |
-
Results for que: accuracy 0.8888888888888888
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.829268 | 0.919255 |
|
| 7 |
-
| Recall | 0.839506 | 0.91358 |
|
| 8 |
-
| F1 | 0.834356 | 0.916409 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for por: accuracy 0.8809523809523809
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.882353 | 0.88 |
|
| 15 |
-
| Recall | 0.833333 | 0.916667 |
|
| 16 |
-
| F1 | 0.857143 | 0.897959 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for de: accuracy 0.9141630901287554
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.957746 | 0.45 |
|
| 23 |
-
| Recall | 0.948837 | 0.5 |
|
| 24 |
-
| F1 | 0.953271 | 0.473684 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for e: accuracy 0.927536231884058
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.90625 | 0.933962 |
|
| 31 |
-
| Recall | 0.805556 | 0.970588 |
|
| 32 |
-
| F1 | 0.852941 | 0.951923 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for &: accuracy 0.8907563025210085
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.766667 | 0.932584 |
|
| 39 |
-
| Recall | 0.793103 | 0.922222 |
|
| 40 |
-
| F1 | 0.779661 | 0.927374 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for y: accuracy 0.9074074074074074
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.789474 | 0.971429 |
|
| 47 |
-
| Recall | 0.9375 | 0.894737 |
|
| 48 |
-
| F1 | 0.857143 | 0.931507 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for mas: accuracy 0.925
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.9375 | 0.916667 |
|
| 55 |
-
| Recall | 0.882353 | 0.956522 |
|
| 56 |
-
| F1 | 0.909091 | 0.93617 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for a: accuracy 0.8350515463917526
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.886076 | 0.611111 |
|
| 63 |
-
| Recall | 0.909091 | 0.55 |
|
| 64 |
-
| F1 | 0.897436 | 0.578947 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for en: accuracy 0.9148936170212766
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.935065 | 0.823529 |
|
| 71 |
-
| Recall | 0.96 | 0.736842 |
|
| 72 |
-
| F1 | 0.947368 | 0.777778 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for la: accuracy 0.9915966386554622
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 0.888889 |
|
| 79 |
-
| Recall | 0.990991 | 1 |
|
| 80 |
-
| F1 | 0.995475 | 0.941176 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for el: accuracy 0.9826086956521739
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.981481 | 1 |
|
| 87 |
-
| Recall | 1 | 0.777778 |
|
| 88 |
-
| F1 | 0.990654 | 0.875 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for et: accuracy 0.8157894736842105
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.571429 | 0.958333 |
|
| 95 |
-
| Recall | 0.888889 | 0.793103 |
|
| 96 |
-
| F1 | 0.695652 | 0.867925 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for con: accuracy 0.9393939393939394
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.961538 | 0.857143 |
|
| 103 |
-
| Recall | 0.961538 | 0.857143 |
|
| 104 |
-
| F1 | 0.961538 | 0.857143 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for ca: accuracy 1.0
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 1 | 1 |
|
| 111 |
-
| Recall | 1 | 1 |
|
| 112 |
-
| F1 | 1 | 1 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for señor: accuracy 0.8181818181818182
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.846154 | 0.777778 |
|
| 119 |
-
| Recall | 0.846154 | 0.777778 |
|
| 120 |
-
| F1 | 0.846154 | 0.777778 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for los: accuracy 0.9459459459459459
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.971429 | 0.5 |
|
| 127 |
-
| Recall | 0.971429 | 0.5 |
|
| 128 |
-
| F1 | 0.971429 | 0.5 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for dixo: accuracy 0.775
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.758621 | 0.818182 |
|
| 135 |
-
| Recall | 0.916667 | 0.5625 |
|
| 136 |
-
| F1 | 0.830189 | 0.666667 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for si: accuracy 1.0
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 1 |
|
| 143 |
-
| Recall | 1 | 1 |
|
| 144 |
-
| F1 | 1 | 1 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for no: accuracy 0.9019607843137255
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.913043 | 0.8 |
|
| 151 |
-
| Recall | 0.976744 | 0.5 |
|
| 152 |
-
| F1 | 0.94382 | 0.615385 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for como: accuracy 0.92
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 1 | 0.75 |
|
| 159 |
-
| Recall | 0.894737 | 1 |
|
| 160 |
-
| F1 | 0.944444 | 0.857143 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for lo: accuracy 0.9361702127659575
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 0.953488 | 0.75 |
|
| 167 |
-
| Recall | 0.97619 | 0.6 |
|
| 168 |
-
| F1 | 0.964706 | 0.666667 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for yo: accuracy 0.972972972972973
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 0.967742 | 1 |
|
| 175 |
-
| Recall | 1 | 0.857143 |
|
| 176 |
-
| F1 | 0.983607 | 0.923077 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for segun: accuracy 0.8
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.8 | 0.8 |
|
| 183 |
-
| Recall | 0.8 | 0.8 |
|
| 184 |
-
| F1 | 0.8 | 0.8 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for se: accuracy 0.9736842105263158
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.970588 | 1 |
|
| 191 |
-
| Recall | 1 | 0.8 |
|
| 192 |
-
| F1 | 0.985075 | 0.888889 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for non: accuracy 0.9655172413793104
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.958333 | 1 |
|
| 199 |
-
| Recall | 1 | 0.833333 |
|
| 200 |
-
| F1 | 0.978723 | 0.909091 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for muy: accuracy 0.8571428571428571
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 0.96 | 0 |
|
| 207 |
-
| Recall | 0.888889 | 0 |
|
| 208 |
-
| F1 | 0.923077 | 0 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for des: accuracy 1.0
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 1 | 1 |
|
| 215 |
-
| Recall | 1 | 1 |
|
| 216 |
-
| F1 | 1 | 1 |
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for sobre: accuracy 1.0
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 1 | 1 |
|
| 223 |
-
| Recall | 1 | 1 |
|
| 224 |
-
| F1 | 1 | 1 |
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
Results for ass: accuracy 0.9
|
| 228 |
-
| | Segment Content | Segment Boundary |
|
| 229 |
-
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 1 | 0.75 |
|
| 231 |
-
| Recall | 0.857143 | 1 |
|
| 232 |
-
| F1 | 0.923077 | 0.857143 |
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
Results for quando: accuracy 0.9090909090909091
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 1 | 0.75 |
|
| 239 |
-
| Recall | 0.875 | 1 |
|
| 240 |
-
| F1 | 0.933333 | 0.857143 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for todo: accuracy 1.0
|
| 244 |
-
| | Segment Content | Segment Boundary |
|
| 245 |
-
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 1 | 1 |
|
| 247 |
-
| Recall | 1 | 1 |
|
| 248 |
-
| F1 | 1 | 1 |
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
Results for nin: accuracy 0.9166666666666666
|
| 252 |
-
| | Segment Content | Segment Boundary |
|
| 253 |
-
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision | 1 | 0.875 |
|
| 255 |
-
| Recall | 0.8 | 1 |
|
| 256 |
-
| F1 | 0.888889 | 0.933333 |
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Results for qui: accuracy 0.8888888888888888
|
| 260 |
-
| | Segment Content | Segment Boundary |
|
| 261 |
-
|-----------+-------------------+--------------------|
|
| 262 |
-
| Precision | 0.866667 | 1 |
|
| 263 |
-
| Recall | 1 | 0.6 |
|
| 264 |
-
| F1 | 0.928571 | 0.75 |
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
Results for tan: accuracy 0.875
|
| 268 |
-
| | Segment Content | Segment Boundary |
|
| 269 |
-
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision | 1 | 0.333333 |
|
| 271 |
-
| Recall | 0.866667 | 1 |
|
| 272 |
-
| F1 | 0.928571 | 0.5 |
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
Results for asi: accuracy 1.0
|
| 276 |
-
| | Segment Content | Segment Boundary |
|
| 277 |
-
|-----------+-------------------+--------------------|
|
| 278 |
-
| Precision | 1 | 1 |
|
| 279 |
-
| Recall | 1 | 1 |
|
| 280 |
-
| F1 | 1 | 1 |
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
Results for ab: accuracy 1.0
|
| 284 |
-
| | Segment Content | Segment Boundary |
|
| 285 |
-
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision | 1 | 1 |
|
| 287 |
-
| Recall | 1 | 1 |
|
| 288 |
-
| F1 | 1 | 1 |
|
| 289 |
-
|
| 290 |
-
|
| 291 |
-
Results for quien: accuracy 0.8333333333333334
|
| 292 |
-
| | Segment Content | Segment Boundary |
|
| 293 |
-
|-----------+-------------------+--------------------|
|
| 294 |
-
| Precision | 1 | 0.666667 |
|
| 295 |
-
| Recall | 0.75 | 1 |
|
| 296 |
-
| F1 | 0.857143 | 0.8 |
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
Results for o: accuracy 0.8181818181818182
|
| 300 |
-
| | Segment Content | Segment Boundary |
|
| 301 |
-
|-----------+-------------------+--------------------|
|
| 302 |
-
| Precision | 0.875 | 0.666667 |
|
| 303 |
-
| Recall | 0.875 | 0.666667 |
|
| 304 |
-
| F1 | 0.875 | 0.666667 |
|
| 305 |
-
|
| 306 |
-
|
| 307 |
-
Results for ala: accuracy 0.8
|
| 308 |
-
| | Segment Content | Segment Boundary |
|
| 309 |
-
|-----------+-------------------+--------------------|
|
| 310 |
-
| Precision | 1 | 0.333333 |
|
| 311 |
-
| Recall | 0.777778 | 1 |
|
| 312 |
-
| F1 | 0.875 | 0.5 |
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
Results for para: accuracy 0.8571428571428571
|
| 316 |
-
| | Segment Content | Segment Boundary |
|
| 317 |
-
|-----------+-------------------+--------------------|
|
| 318 |
-
| Precision | 1 | 0.666667 |
|
| 319 |
-
| Recall | 0.8 | 1 |
|
| 320 |
-
| F1 | 0.888889 | 0.8 |
|
| 321 |
-
|
| 322 |
-
|
| 323 |
-
Results for porque: accuracy 1.0
|
| 324 |
-
| | Segment Content | Segment Boundary |
|
| 325 |
-
|-----------+-------------------+--------------------|
|
| 326 |
-
| Precision | 1 | 1 |
|
| 327 |
-
| Recall | 1 | 1 |
|
| 328 |
-
| F1 | 1 | 1 |
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
Results for com: accuracy 1.0
|
| 332 |
-
| | Segment Content | Segment Boundary |
|
| 333 |
-
|-----------+-------------------+--------------------|
|
| 334 |
-
| Precision | 1 | 1 |
|
| 335 |
-
| Recall | 1 | 1 |
|
| 336 |
-
| F1 | 1 | 1 |
|
| 337 |
-
|
| 338 |
-
|
| 339 |
-
Results for dix: accuracy 0.625
|
| 340 |
-
| | Segment Content | Segment Boundary |
|
| 341 |
-
|-----------+-------------------+--------------------|
|
| 342 |
-
| Precision | 0.6 | 0.666667 |
|
| 343 |
-
| Recall | 0.75 | 0.5 |
|
| 344 |
-
| F1 | 0.666667 | 0.571429 |
|
| 345 |
-
|
| 346 |
-
|
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|
logs/resultats_ambiguite_fr.txt
DELETED
|
@@ -1,290 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9542108729662763.
|
| 2 |
-
|
| 3 |
-
Results for et: accuracy 0.9409937888198758
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.895522 | 0.973404 |
|
| 7 |
-
| Recall | 0.96 | 0.928934 |
|
| 8 |
-
| F1 | 0.926641 | 0.950649 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for que: accuracy 0.8977272727272727
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.830508 | 0.931624 |
|
| 15 |
-
| Recall | 0.859649 | 0.915966 |
|
| 16 |
-
| F1 | 0.844828 | 0.923729 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for si: accuracy 0.9523809523809523
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 1 | 0.923077 |
|
| 23 |
-
| Recall | 0.888889 | 1 |
|
| 24 |
-
| F1 | 0.941176 | 0.96 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for de: accuracy 0.9826086956521739
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.990698 | 0.866667 |
|
| 31 |
-
| Recall | 0.990698 | 0.866667 |
|
| 32 |
-
| F1 | 0.990698 | 0.866667 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for il: accuracy 0.9948717948717949
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.994152 | 1 |
|
| 39 |
-
| Recall | 1 | 0.96 |
|
| 40 |
-
| F1 | 0.997067 | 0.979592 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for qu: accuracy 0.9193548387096774
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.809524 | 0.97561 |
|
| 47 |
-
| Recall | 0.944444 | 0.909091 |
|
| 48 |
-
| F1 | 0.871795 | 0.941176 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for en: accuracy 1.0
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 1 |
|
| 55 |
-
| Recall | 1 | 1 |
|
| 56 |
-
| F1 | 1 | 1 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for pour: accuracy 0.8085106382978723
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.8 | 0.823529 |
|
| 63 |
-
| Recall | 0.888889 | 0.7 |
|
| 64 |
-
| F1 | 0.842105 | 0.756757 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for ne: accuracy 0.9722222222222222
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.979798 | 0.888889 |
|
| 71 |
-
| Recall | 0.989796 | 0.8 |
|
| 72 |
-
| F1 | 0.984772 | 0.842105 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for a: accuracy 0.9649122807017544
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.981651 | 0.6 |
|
| 79 |
-
| Recall | 0.981651 | 0.6 |
|
| 80 |
-
| F1 | 0.981651 | 0.6 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for li: accuracy 0.9541284403669725
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.971429 | 0.5 |
|
| 87 |
-
| Recall | 0.980769 | 0.4 |
|
| 88 |
-
| F1 | 0.976077 | 0.444444 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for qui: accuracy 0.8888888888888888
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.538462 | 0.98 |
|
| 95 |
-
| Recall | 0.875 | 0.890909 |
|
| 96 |
-
| F1 | 0.666667 | 0.933333 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for e: accuracy 1.0
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 | 1 |
|
| 103 |
-
| Recall | 1 | 1 |
|
| 104 |
-
| F1 | 1 | 1 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for ce: accuracy 0.9655172413793104
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.975904 | 0.75 |
|
| 111 |
-
| Recall | 0.987805 | 0.6 |
|
| 112 |
-
| F1 | 0.981818 | 0.666667 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for se: accuracy 0.9655172413793104
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.979167 | 0.9 |
|
| 119 |
-
| Recall | 0.979167 | 0.9 |
|
| 120 |
-
| F1 | 0.979167 | 0.9 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for je: accuracy 0.98
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.975 | 1 |
|
| 127 |
-
| Recall | 1 | 0.909091 |
|
| 128 |
-
| F1 | 0.987342 | 0.952381 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for ai: accuracy 0.8695652173913043
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.928571 | 0.777778 |
|
| 135 |
-
| Recall | 0.866667 | 0.875 |
|
| 136 |
-
| F1 | 0.896552 | 0.823529 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for mes: accuracy 1.0
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 1 |
|
| 143 |
-
| Recall | 1 | 1 |
|
| 144 |
-
| F1 | 1 | 1 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for fait: accuracy 0.95
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 1 | 0.875 |
|
| 151 |
-
| Recall | 0.923077 | 1 |
|
| 152 |
-
| F1 | 0.96 | 0.933333 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for quant: accuracy 0.9534883720930233
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 1 | 0.75 |
|
| 159 |
-
| Recall | 0.945946 | 1 |
|
| 160 |
-
| F1 | 0.972222 | 0.857143 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for par: accuracy 0.9761904761904762
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 0.8 |
|
| 167 |
-
| Recall | 0.973684 | 1 |
|
| 168 |
-
| F1 | 0.986667 | 0.888889 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for ou: accuracy 0.9047619047619048
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 0.928571 | 0.857143 |
|
| 175 |
-
| Recall | 0.928571 | 0.857143 |
|
| 176 |
-
| F1 | 0.928571 | 0.857143 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for c: accuracy 1.0
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 1 | 1 |
|
| 183 |
-
| Recall | 1 | 1 |
|
| 184 |
-
| F1 | 1 | 1 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for con: accuracy 0.9722222222222222
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 1 | 0.75 |
|
| 191 |
-
| Recall | 0.969697 | 1 |
|
| 192 |
-
| F1 | 0.984615 | 0.857143 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for tant: accuracy 1.0
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 1 | 1 |
|
| 199 |
-
| Recall | 1 | 1 |
|
| 200 |
-
| F1 | 1 | 1 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for por: accuracy 0.9523809523809523
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 0.9375 | 1 |
|
| 207 |
-
| Recall | 1 | 0.833333 |
|
| 208 |
-
| F1 | 0.967742 | 0.909091 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for dis: accuracy 0.9615384615384616
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 0.954545 | 1 |
|
| 215 |
-
| Recall | 1 | 0.8 |
|
| 216 |
-
| F1 | 0.976744 | 0.888889 |
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for comme: accuracy 1.0
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 1 | 1 |
|
| 223 |
-
| Recall | 1 | 1 |
|
| 224 |
-
| F1 | 1 | 1 |
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
Results for on: accuracy 1.0
|
| 228 |
-
| | Segment Content | Segment Boundary |
|
| 229 |
-
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 1 | 1 |
|
| 231 |
-
| Recall | 1 | 1 |
|
| 232 |
-
| F1 | 1 | 1 |
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
Results for comment: accuracy 0.8333333333333334
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 0.75 | 0.875 |
|
| 239 |
-
| Recall | 0.75 | 0.875 |
|
| 240 |
-
| F1 | 0.75 | 0.875 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for com: accuracy 0.9333333333333333
|
| 244 |
-
| | Segment Content | Segment Boundary |
|
| 245 |
-
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 1 | 0.666667 |
|
| 247 |
-
| Recall | 0.923077 | 1 |
|
| 248 |
-
| F1 | 0.96 | 0.8 |
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
Results for fet: accuracy 1.0
|
| 252 |
-
| | Segment Content | Segment Boundary |
|
| 253 |
-
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision | 1 | 1 |
|
| 255 |
-
| Recall | 1 | 1 |
|
| 256 |
-
| F1 | 1 | 1 |
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Results for quel: accuracy 0.8571428571428571
|
| 260 |
-
| | Segment Content | Segment Boundary |
|
| 261 |
-
|-----------+-------------------+--------------------|
|
| 262 |
-
| Precision | 1 | 0.666667 |
|
| 263 |
-
| Recall | 0.8 | 1 |
|
| 264 |
-
| F1 | 0.888889 | 0.8 |
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
Results for aus: accuracy 1.0
|
| 268 |
-
| | Segment Content | Segment Boundary |
|
| 269 |
-
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision | 1 | 1 |
|
| 271 |
-
| Recall | 1 | 1 |
|
| 272 |
-
| F1 | 1 | 1 |
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
Results for or: accuracy 1.0
|
| 276 |
-
| | Segment Content | Segment Boundary |
|
| 277 |
-
|-----------+-------------------+--------------------|
|
| 278 |
-
| Precision | 1 | 1 |
|
| 279 |
-
| Recall | 1 | 1 |
|
| 280 |
-
| F1 | 1 | 1 |
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
Results for Je: accuracy 1.0
|
| 284 |
-
| | Segment Content | Segment Boundary |
|
| 285 |
-
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision | 1 | 1 |
|
| 287 |
-
| Recall | 1 | 1 |
|
| 288 |
-
| F1 | 1 | 1 |
|
| 289 |
-
|
| 290 |
-
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|
logs/resultats_ambiguite_it.txt
DELETED
|
@@ -1,194 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9267648979933372.
|
| 2 |
-
|
| 3 |
-
Results for e: accuracy 0.8178294573643411
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.790476 | 0.836601 |
|
| 7 |
-
| Recall | 0.768519 | 0.853333 |
|
| 8 |
-
| F1 | 0.779343 | 0.844884 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for si: accuracy 0.898989898989899
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.836364 | 0.977273 |
|
| 15 |
-
| Recall | 0.978723 | 0.826923 |
|
| 16 |
-
| F1 | 0.901961 | 0.895833 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for che: accuracy 0.8955223880597015
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.764706 | 0.94 |
|
| 23 |
-
| Recall | 0.8125 | 0.921569 |
|
| 24 |
-
| F1 | 0.787879 | 0.930693 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for per: accuracy 0.8888888888888888
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.918367 | 0.826087 |
|
| 31 |
-
| Recall | 0.918367 | 0.826087 |
|
| 32 |
-
| F1 | 0.918367 | 0.826087 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for di: accuracy 0.9782608695652174
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.992366 | 0.714286 |
|
| 39 |
-
| Recall | 0.984848 | 0.833333 |
|
| 40 |
-
| F1 | 0.988593 | 0.769231 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for ch: accuracy 0.8985507246376812
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.857143 | 0.909091 |
|
| 47 |
-
| Recall | 0.705882 | 0.961538 |
|
| 48 |
-
| F1 | 0.774194 | 0.934579 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for a: accuracy 0.9404761904761905
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 0.444444 |
|
| 55 |
-
| Recall | 0.9375 | 1 |
|
| 56 |
-
| F1 | 0.967742 | 0.615385 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for il: accuracy 0.9402985074626866
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.981818 | 0.75 |
|
| 63 |
-
| Recall | 0.947368 | 0.9 |
|
| 64 |
-
| F1 | 0.964286 | 0.818182 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for in: accuracy 0.9855072463768116
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 1 | 0.75 |
|
| 71 |
-
| Recall | 0.984848 | 1 |
|
| 72 |
-
| F1 | 0.992366 | 0.857143 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for l: accuracy 0.9821428571428571
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 0.666667 |
|
| 79 |
-
| Recall | 0.981481 | 1 |
|
| 80 |
-
| F1 | 0.990654 | 0.8 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for s: accuracy 0.7916666666666666
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.823529 | 0.714286 |
|
| 87 |
-
| Recall | 0.875 | 0.625 |
|
| 88 |
-
| F1 | 0.848485 | 0.666667 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for con: accuracy 1.0
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 1 | 1 |
|
| 95 |
-
| Recall | 1 | 1 |
|
| 96 |
-
| F1 | 1 | 1 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for come: accuracy 0.9375
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 | 0.833333 |
|
| 103 |
-
| Recall | 0.909091 | 1 |
|
| 104 |
-
| F1 | 0.952381 | 0.909091 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for pos: accuracy 1.0
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 1 | 1 |
|
| 111 |
-
| Recall | 1 | 1 |
|
| 112 |
-
| F1 | 1 | 1 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for i: accuracy 0.96875
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 1 | 0.666667 |
|
| 119 |
-
| Recall | 0.966667 | 1 |
|
| 120 |
-
| F1 | 0.983051 | 0.8 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for se: accuracy 0.75
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.727273 | 0.8 |
|
| 127 |
-
| Recall | 0.888889 | 0.571429 |
|
| 128 |
-
| F1 | 0.8 | 0.666667 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for quand: accuracy 1.0
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 1 | 1 |
|
| 135 |
-
| Recall | 1 | 1 |
|
| 136 |
-
| F1 | 1 | 1 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for et: accuracy 1.0
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 1 |
|
| 143 |
-
| Recall | 1 | 1 |
|
| 144 |
-
| F1 | 1 | 1 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for vol: accuracy 0.9444444444444444
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 1 | 0.666667 |
|
| 151 |
-
| Recall | 0.9375 | 1 |
|
| 152 |
-
| F1 | 0.967742 | 0.8 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for è: accuracy 0.8235294117647058
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 0.857143 | 0.666667 |
|
| 159 |
-
| Recall | 0.923077 | 0.5 |
|
| 160 |
-
| F1 | 0.888889 | 0.571429 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for nella: accuracy 1.0
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 1 |
|
| 167 |
-
| Recall | 1 | 1 |
|
| 168 |
-
| F1 | 1 | 1 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for ins: accuracy 1.0
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 1 | 1 |
|
| 175 |
-
| Recall | 1 | 1 |
|
| 176 |
-
| F1 | 1 | 1 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for o: accuracy 0.8
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.857143 | 0.666667 |
|
| 183 |
-
| Recall | 0.857143 | 0.666667 |
|
| 184 |
-
| F1 | 0.857143 | 0.666667 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for sì: accuracy 1.0
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 1 | 1 |
|
| 191 |
-
| Recall | 1 | 1 |
|
| 192 |
-
| F1 | 1 | 1 |
|
| 193 |
-
|
| 194 |
-
|
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|
logs/resultats_ambiguite_la.txt
DELETED
|
@@ -1,274 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.8923750995895208.
|
| 2 |
-
|
| 3 |
-
Results for et: accuracy 0.8043478260869565
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.72 | 0.904762 |
|
| 7 |
-
| Recall | 0.9 | 0.730769 |
|
| 8 |
-
| F1 | 0.8 | 0.808511 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for ut: accuracy 0.8653846153846154
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.777778 | 0.96 |
|
| 15 |
-
| Recall | 0.954545 | 0.8 |
|
| 16 |
-
| F1 | 0.857143 | 0.872727 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for qui: accuracy 0.9230769230769231
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.928571 | 0.916667 |
|
| 23 |
-
| Recall | 0.928571 | 0.916667 |
|
| 24 |
-
| F1 | 0.928571 | 0.916667 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for quod: accuracy 0.9791666666666666
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.947368 | 1 |
|
| 31 |
-
| Recall | 1 | 0.966667 |
|
| 32 |
-
| F1 | 0.972973 | 0.983051 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for in: accuracy 0.9090909090909091
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.918605 | 0.875 |
|
| 39 |
-
| Recall | 0.963415 | 0.75 |
|
| 40 |
-
| F1 | 0.940476 | 0.807692 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for quam: accuracy 0.9130434782608695
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.8 | 1 |
|
| 47 |
-
| Recall | 1 | 0.866667 |
|
| 48 |
-
| F1 | 0.888889 | 0.928571 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for de: accuracy 0.9452054794520548
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.983607 | 0.75 |
|
| 55 |
-
| Recall | 0.952381 | 0.9 |
|
| 56 |
-
| F1 | 0.967742 | 0.818182 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for ad: accuracy 0.8461538461538461
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.923077 | 0.692308 |
|
| 63 |
-
| Recall | 0.857143 | 0.818182 |
|
| 64 |
-
| F1 | 0.888889 | 0.75 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for quae: accuracy 0.8571428571428571
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.857143 | 0.857143 |
|
| 71 |
-
| Recall | 0.857143 | 0.857143 |
|
| 72 |
-
| F1 | 0.857143 | 0.857143 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for quo: accuracy 0.8235294117647058
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.888889 | 0.75 |
|
| 79 |
-
| Recall | 0.8 | 0.857143 |
|
| 80 |
-
| F1 | 0.842105 | 0.8 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for non: accuracy 0.9555555555555556
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.971429 | 0.9 |
|
| 87 |
-
| Recall | 0.971429 | 0.9 |
|
| 88 |
-
| F1 | 0.971429 | 0.9 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for est: accuracy 0.9482758620689655
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.962264 | 0.8 |
|
| 95 |
-
| Recall | 0.980769 | 0.666667 |
|
| 96 |
-
| F1 | 0.971429 | 0.727273 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for per: accuracy 0.8611111111111112
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.851852 | 0.888889 |
|
| 103 |
-
| Recall | 0.958333 | 0.666667 |
|
| 104 |
-
| F1 | 0.901961 | 0.761905 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for ne: accuracy 0.8095238095238095
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.769231 | 0.875 |
|
| 111 |
-
| Recall | 0.909091 | 0.7 |
|
| 112 |
-
| F1 | 0.833333 | 0.777778 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for qua: accuracy 0.9047619047619048
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.923077 | 0.875 |
|
| 119 |
-
| Recall | 0.923077 | 0.875 |
|
| 120 |
-
| F1 | 0.923077 | 0.875 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for si: accuracy 0.8857142857142857
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.888889 | 0.875 |
|
| 127 |
-
| Recall | 0.96 | 0.7 |
|
| 128 |
-
| F1 | 0.923077 | 0.777778 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for vel: accuracy 0.7058823529411765
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.5 | 1 |
|
| 135 |
-
| Recall | 1 | 0.583333 |
|
| 136 |
-
| F1 | 0.666667 | 0.736842 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for ex: accuracy 0.9772727272727273
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 0.833333 |
|
| 143 |
-
| Recall | 0.974359 | 1 |
|
| 144 |
-
| F1 | 0.987013 | 0.909091 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for (: accuracy 0.6153846153846154
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.714286 | 0.5 |
|
| 151 |
-
| Recall | 0.625 | 0.6 |
|
| 152 |
-
| F1 | 0.666667 | 0.545455 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for sic: accuracy 0.8888888888888888
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 0.714286 | 1 |
|
| 159 |
-
| Recall | 1 | 0.846154 |
|
| 160 |
-
| F1 | 0.833333 | 0.916667 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for con: accuracy 0.8787878787878788
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 0.961538 | 0.571429 |
|
| 167 |
-
| Recall | 0.892857 | 0.8 |
|
| 168 |
-
| F1 | 0.925926 | 0.666667 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for Et: accuracy 0.9285714285714286
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 0.875 | 1 |
|
| 175 |
-
| Recall | 1 | 0.857143 |
|
| 176 |
-
| F1 | 0.933333 | 0.923077 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for di: accuracy 0.9333333333333333
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 1 | 0.333333 |
|
| 183 |
-
| Recall | 0.931034 | 1 |
|
| 184 |
-
| F1 | 0.964286 | 0.5 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for esse: accuracy 0.9583333333333334
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.952381 | 1 |
|
| 191 |
-
| Recall | 1 | 0.75 |
|
| 192 |
-
| F1 | 0.97561 | 0.857143 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for a: accuracy 0.875
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.904762 | 0.666667 |
|
| 199 |
-
| Recall | 0.95 | 0.5 |
|
| 200 |
-
| F1 | 0.926829 | 0.571429 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for cum: accuracy 0.9285714285714286
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 0.75 | 1 |
|
| 207 |
-
| Recall | 1 | 0.909091 |
|
| 208 |
-
| F1 | 0.857143 | 0.952381 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for secundum: accuracy 0.75
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 0.625 | 1 |
|
| 215 |
-
| Recall | 1 | 0.571429 |
|
| 216 |
-
| F1 | 0.769231 | 0.727273 |
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for eo: accuracy 1.0
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 1 | 1 |
|
| 223 |
-
| Recall | 1 | 1 |
|
| 224 |
-
| F1 | 1 | 1 |
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
Results for e: accuracy 0.9375
|
| 228 |
-
| | Segment Content | Segment Boundary |
|
| 229 |
-
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 0.923077 | 1 |
|
| 231 |
-
| Recall | 1 | 0.75 |
|
| 232 |
-
| F1 | 0.96 | 0.857143 |
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
Results for debe: accuracy 0.875
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 1 | 0.333333 |
|
| 239 |
-
| Recall | 0.866667 | 1 |
|
| 240 |
-
| F1 | 0.928571 | 0.5 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for o: accuracy 1.0
|
| 244 |
-
| | Segment Content | Segment Boundary |
|
| 245 |
-
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 1 | 1 |
|
| 247 |
-
| Recall | 1 | 1 |
|
| 248 |
-
| F1 | 1 | 1 |
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
Results for aut: accuracy 0.8571428571428571
|
| 252 |
-
| | Segment Content | Segment Boundary |
|
| 253 |
-
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision | 1 | 0.666667 |
|
| 255 |
-
| Recall | 0.8 | 1 |
|
| 256 |
-
| F1 | 0.888889 | 0.8 |
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Results for ecc: accuracy 1.0
|
| 260 |
-
| | Segment Content | Segment Boundary |
|
| 261 |
-
|-----------+-------------------+--------------------|
|
| 262 |
-
| Precision | 1 | 1 |
|
| 263 |
-
| Recall | 1 | 1 |
|
| 264 |
-
| F1 | 1 | 1 |
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
Results for post: accuracy 1.0
|
| 268 |
-
| | Segment Content | Segment Boundary |
|
| 269 |
-
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision | 1 | 1 |
|
| 271 |
-
| Recall | 1 | 1 |
|
| 272 |
-
| F1 | 1 | 1 |
|
| 273 |
-
|
| 274 |
-
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|
logs/resultats_ambiguite_pt.txt
DELETED
|
@@ -1,218 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9333386662521813.
|
| 2 |
-
|
| 3 |
-
Results for que: accuracy 0.8834355828220859
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.898734 | 0.869048 |
|
| 7 |
-
| Recall | 0.865854 | 0.901235 |
|
| 8 |
-
| F1 | 0.881988 | 0.884848 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for e: accuracy 0.9011627906976745
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.826087 | 0.951456 |
|
| 15 |
-
| Recall | 0.919355 | 0.890909 |
|
| 16 |
-
| F1 | 0.870229 | 0.920188 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for a: accuracy 0.9139784946236559
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.961039 | 0.6875 |
|
| 23 |
-
| Recall | 0.936709 | 0.785714 |
|
| 24 |
-
| F1 | 0.948718 | 0.733333 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for de: accuracy 0.9661016949152542
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 1 | 0.555556 |
|
| 31 |
-
| Recall | 0.964602 | 1 |
|
| 32 |
-
| F1 | 0.981982 | 0.714286 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for por: accuracy 0.8936170212765957
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.909091 | 0.857143 |
|
| 39 |
-
| Recall | 0.9375 | 0.8 |
|
| 40 |
-
| F1 | 0.923077 | 0.827586 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for ca: accuracy 1.0
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 1 | 1 |
|
| 47 |
-
| Recall | 1 | 1 |
|
| 48 |
-
| F1 | 1 | 1 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for q: accuracy 0.9642857142857143
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 0.941176 |
|
| 55 |
-
| Recall | 0.916667 | 1 |
|
| 56 |
-
| F1 | 0.956522 | 0.969697 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for o: accuracy 0.9466666666666667
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.985714 | 0.4 |
|
| 63 |
-
| Recall | 0.958333 | 0.666667 |
|
| 64 |
-
| F1 | 0.971831 | 0.5 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for em: accuracy 0.8888888888888888
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.954545 | 0.6 |
|
| 71 |
-
| Recall | 0.913043 | 0.75 |
|
| 72 |
-
| F1 | 0.933333 | 0.666667 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for per: accuracy 0.9512195121951219
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.9375 | 1 |
|
| 79 |
-
| Recall | 1 | 0.818182 |
|
| 80 |
-
| F1 | 0.967742 | 0.9 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for se: accuracy 0.9487179487179487
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 1 | 0.75 |
|
| 87 |
-
| Recall | 0.939394 | 1 |
|
| 88 |
-
| F1 | 0.96875 | 0.857143 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for como: accuracy 0.9545454545454546
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.928571 | 1 |
|
| 95 |
-
| Recall | 1 | 0.888889 |
|
| 96 |
-
| F1 | 0.962963 | 0.941176 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for com: accuracy 0.925
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.941176 | 0.833333 |
|
| 103 |
-
| Recall | 0.969697 | 0.714286 |
|
| 104 |
-
| F1 | 0.955224 | 0.769231 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for os: accuracy 1.0
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 1 | 1 |
|
| 111 |
-
| Recall | 1 | 1 |
|
| 112 |
-
| F1 | 1 | 1 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for n: accuracy 0.8181818181818182
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 1 | 0.333333 |
|
| 119 |
-
| Recall | 0.8 | 1 |
|
| 120 |
-
| F1 | 0.888889 | 0.5 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for quando: accuracy 1.0
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 1 | 1 |
|
| 127 |
-
| Recall | 1 | 1 |
|
| 128 |
-
| F1 | 1 | 1 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for ou: accuracy 0.8695652173913043
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.842105 | 1 |
|
| 135 |
-
| Recall | 1 | 0.571429 |
|
| 136 |
-
| F1 | 0.914286 | 0.727273 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for as: accuracy 1.0
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 1 |
|
| 143 |
-
| Recall | 1 | 1 |
|
| 144 |
-
| F1 | 1 | 1 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for c: accuracy 0.8888888888888888
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 1 | 0.5 |
|
| 151 |
-
| Recall | 0.875 | 1 |
|
| 152 |
-
| F1 | 0.933333 | 0.666667 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for dos: accuracy 1.0
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 1 | 1 |
|
| 159 |
-
| Recall | 1 | 1 |
|
| 160 |
-
| F1 | 1 | 1 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for todos: accuracy 0.9090909090909091
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 0.75 |
|
| 167 |
-
| Recall | 0.875 | 1 |
|
| 168 |
-
| F1 | 0.933333 | 0.857143 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for disse: accuracy 1.0
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 1 | 1 |
|
| 175 |
-
| Recall | 1 | 1 |
|
| 176 |
-
| F1 | 1 | 1 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for f: accuracy 1.0
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 1 | 1 |
|
| 183 |
-
| Recall | 1 | 1 |
|
| 184 |
-
| F1 | 1 | 1 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for nom: accuracy 0.9444444444444444
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.933333 | 1 |
|
| 191 |
-
| Recall | 1 | 0.75 |
|
| 192 |
-
| F1 | 0.965517 | 0.857143 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for mais: accuracy 0.8823529411764706
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.928571 | 0.666667 |
|
| 199 |
-
| Recall | 0.928571 | 0.666667 |
|
| 200 |
-
| F1 | 0.928571 | 0.666667 |
|
| 201 |
-
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| 202 |
-
|
| 203 |
-
Results for nem: accuracy 1.0
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 1 | 1 |
|
| 207 |
-
| Recall | 1 | 1 |
|
| 208 |
-
| F1 | 1 | 1 |
|
| 209 |
-
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| 210 |
-
|
| 211 |
-
Results for hu: accuracy 0.75
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 1 | 0.333333 |
|
| 215 |
-
| Recall | 0.714286 | 1 |
|
| 216 |
-
| F1 | 0.833333 | 0.5 |
|
| 217 |
-
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| 218 |
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