halilbabacan
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Create README.md
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README.md
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1 |
+
---
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2 |
+
license: mit
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3 |
+
datasets:
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4 |
+
- halilbabacan/combined_synthetic_cognitive_distortions
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5 |
+
language:
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6 |
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- en
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7 |
+
metrics:
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8 |
+
- accuracy
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9 |
+
pipeline_tag: text-classification
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10 |
+
---
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11 |
+
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12 |
+
Epoch 1/3: 100%|██████████| 227/227 [01:15<00:00, 3.01it/s]
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13 |
+
Validation: 100%|██████████| 57/57 [00:06<00:00, 9.39it/s]
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14 |
+
Epoch: 1
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15 |
+
Train Loss: 1.5372
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16 |
+
Validation Loss: 0.8488
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17 |
+
Accuracy: 0.7200
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18 |
+
Error Rate: 0.2800
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19 |
+
Epoch 2/3: 100%|██████████| 227/227 [01:17<00:00, 2.93it/s]
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20 |
+
Validation: 100%|██████████| 57/57 [00:06<00:00, 9.28it/s]
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21 |
+
Epoch: 2
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22 |
+
Train Loss: 0.7906
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23 |
+
Validation Loss: 0.7300
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24 |
+
Accuracy: 0.7850
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25 |
+
Error Rate: 0.2150
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26 |
+
Epoch 3/3: 100%|██████████| 227/227 [01:17<00:00, 2.94it/s]
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27 |
+
Validation: 100%|██████████| 57/57 [00:06<00:00, 9.28it/s]
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28 |
+
Epoch: 3
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29 |
+
Train Loss: 0.5461
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30 |
+
Validation Loss: 0.7143
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31 |
+
Accuracy: 0.7718
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32 |
+
Error Rate: 0.2282
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33 |
+
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34 |
+
Sınıf Bazlı Metrikler:
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35 |
+
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36 |
+
Mind Reading:
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37 |
+
Precision: 0.8933
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38 |
+
Recall: 0.7444
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39 |
+
F1-Score: 0.8121
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40 |
+
Support: 90
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41 |
+
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42 |
+
Overgeneralization:
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43 |
+
Precision: 0.5977
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44 |
+
Recall: 0.6118
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45 |
+
F1-Score: 0.6047
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46 |
+
Support: 85
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47 |
+
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48 |
+
Magnification:
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49 |
+
Precision: 0.7015
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50 |
+
Recall: 0.6026
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51 |
+
F1-Score: 0.6483
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52 |
+
Support: 78
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53 |
+
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54 |
+
Labelling:
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55 |
+
Precision: 0.7347
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56 |
+
Recall: 0.9730
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57 |
+
F1-Score: 0.8372
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58 |
+
Support: 37
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59 |
+
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60 |
+
Personalization:
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61 |
+
Precision: 0.5800
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62 |
+
Recall: 0.8657
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63 |
+
F1-Score: 0.6946
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64 |
+
Support: 67
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65 |
+
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66 |
+
Fortune-telling:
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67 |
+
Precision: 0.8608
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68 |
+
Recall: 0.7816
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69 |
+
F1-Score: 0.8193
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70 |
+
Support: 87
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71 |
+
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72 |
+
Emotional Reasoning:
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73 |
+
Precision: 0.5676
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74 |
+
Recall: 0.7500
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75 |
+
F1-Score: 0.6462
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76 |
+
Support: 56
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77 |
+
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78 |
+
Mental Filter:
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79 |
+
Precision: 1.0000
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80 |
+
Recall: 1.0000
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81 |
+
F1-Score: 1.0000
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82 |
+
Support: 46
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83 |
+
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84 |
+
Should Statements:
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85 |
+
Precision: 1.0000
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86 |
+
Recall: 1.0000
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87 |
+
F1-Score: 1.0000
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88 |
+
Support: 46
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89 |
+
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90 |
+
All-or-Nothing Thinking:
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91 |
+
Precision: 1.0000
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92 |
+
Recall: 1.0000
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93 |
+
F1-Score: 1.0000
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94 |
+
Support: 23
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+
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96 |
+
Labeling:
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97 |
+
Precision: 0.7692
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98 |
+
Recall: 0.2857
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99 |
+
F1-Score: 0.4167
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100 |
+
Support: 35
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101 |
+
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+
No Distortion:
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103 |
+
Precision: 0.9442
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104 |
+
Recall: 0.9789
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105 |
+
F1-Score: 0.9612
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106 |
+
Support: 190
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107 |
+
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108 |
+
All-or-nothing thinking:
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109 |
+
Precision: 0.5000
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110 |
+
Recall: 0.0625
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111 |
+
F1-Score: 0.1111
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112 |
+
Support: 16
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113 |
+
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114 |
+
Mental filter:
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115 |
+
Precision: 0.2500
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116 |
+
Recall: 0.3750
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117 |
+
F1-Score: 0.3000
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118 |
+
Support: 24
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119 |
+
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+
Should statements:
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121 |
+
Precision: 0.6923
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122 |
+
Recall: 0.3333
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123 |
+
F1-Score: 0.4500
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124 |
+
Support: 27
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125 |
+
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126 |
+
Sınıf Mind Reading:
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+
True Positive: 67
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128 |
+
False Positive: 8
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129 |
+
True Negative: 809
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130 |
+
False Negative: 23
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131 |
+
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132 |
+
Sınıf Overgeneralization:
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133 |
+
True Positive: 52
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134 |
+
False Positive: 35
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135 |
+
True Negative: 787
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136 |
+
False Negative: 33
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137 |
+
|
138 |
+
Sınıf Magnification:
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139 |
+
True Positive: 47
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140 |
+
False Positive: 20
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141 |
+
True Negative: 809
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142 |
+
False Negative: 31
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143 |
+
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144 |
+
Sınıf Labelling:
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145 |
+
True Positive: 36
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146 |
+
False Positive: 13
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147 |
+
True Negative: 857
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148 |
+
False Negative: 1
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149 |
+
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150 |
+
Sınıf Personalization:
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151 |
+
True Positive: 58
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152 |
+
False Positive: 42
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153 |
+
True Negative: 798
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154 |
+
False Negative: 9
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155 |
+
|
156 |
+
Sınıf Fortune-telling:
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157 |
+
True Positive: 68
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158 |
+
False Positive: 11
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159 |
+
True Negative: 809
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160 |
+
False Negative: 19
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161 |
+
|
162 |
+
Sınıf Emotional Reasoning:
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163 |
+
True Positive: 42
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164 |
+
False Positive: 32
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165 |
+
True Negative: 819
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166 |
+
False Negative: 14
|
167 |
+
|
168 |
+
Sınıf Mental Filter:
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169 |
+
True Positive: 46
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170 |
+
False Positive: 0
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171 |
+
True Negative: 861
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172 |
+
False Negative: 0
|
173 |
+
|
174 |
+
Sınıf Should Statements:
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175 |
+
True Positive: 46
|
176 |
+
False Positive: 0
|
177 |
+
True Negative: 861
|
178 |
+
False Negative: 0
|
179 |
+
|
180 |
+
Sınıf All-or-Nothing Thinking:
|
181 |
+
True Positive: 23
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182 |
+
False Positive: 0
|
183 |
+
True Negative: 884
|
184 |
+
False Negative: 0
|
185 |
+
|
186 |
+
Sınıf Labeling:
|
187 |
+
True Positive: 10
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188 |
+
False Positive: 3
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189 |
+
True Negative: 869
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190 |
+
False Negative: 25
|
191 |
+
|
192 |
+
Sınıf No Distortion:
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193 |
+
True Positive: 186
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194 |
+
False Positive: 11
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195 |
+
True Negative: 706
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196 |
+
False Negative: 4
|
197 |
+
|
198 |
+
Sınıf All-or-nothing thinking:
|
199 |
+
True Positive: 1
|
200 |
+
False Positive: 1
|
201 |
+
True Negative: 890
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202 |
+
False Negative: 15
|
203 |
+
|
204 |
+
Sınıf Mental filter:
|
205 |
+
True Positive: 9
|
206 |
+
False Positive: 27
|
207 |
+
True Negative: 856
|
208 |
+
False Negative: 15
|
209 |
+
|
210 |
+
Sınıf Should statements:
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211 |
+
True Positive: 9
|
212 |
+
False Positive: 4
|
213 |
+
True Negative: 876
|
214 |
+
False Negative: 18
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