AquaSculpt: See Why Thousands Are Using It for Fat Burning

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The farther you roll out, the more durable the exercise turns into, resulting in larger outcomes. For the primary task (SimpleWhileLoop), the outcomes show an overall accuracy of 70 %, with an general precision of 85 %. However, the recall values hover around 58 %. The F1 score, which displays the balance between precision and recall shows an identical sample, with an total average of 69 %. Although, the specificity values show a wide distribution between 71 % and ninety two % across the runs, with an total of 86 %. GPT-3.5 reveals a slightly higher performance general for the second assignment (Queue): The accuracy ranges from seventy five % to 81 % across the runs, with an overall accuracy of 81 %. The precision shows some variation however still maintains an general value of 60 %. The recall stays constant at 50 % for all 3 runs, indicating that GPT-3.5 consistently identifies only half of the proper submissions accurately.

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