In this paper, we compute the sensitivity of two commonly used evaluation metrics – Precision and Recall. We also show that the sensitivity of Precision and Recall is polynomial with respect to the number of data-points.Mishra, SumitRajiv Gandhi Institute of Petroleum TechnologySwain, Srinibas...
Data quality. Are the recorded data of sufficient quality to address the research question in terms of, for instance, sampling frequency, latency, accuracy, precision, resolution, or data loss? As is evident from the above lists, there is a large number of aspects that may play a role when...
Moreover, presenting data visually can also make your report more engaging and persuasive, helping to convince your superiors of the validity of your analysis and recommendations. With visually appealing and well-designed charts and graphs, you can emphasize the significance of your findings and drive...
This step is crucial to assess the model’s ability to generalize to unseen data and to obtain an unbiased estimate of its performance metrics, such as accuracy, precision, and recall. In our study, we randomly selected 400 participants (80% of the total sample) to serve as the training ...
It can be hard to find the perfect sample size for statistically sound results. Here we reveal methods and tools for effective sample size determination.
Problem Solving: Using data to identify and solve problems, sometimes under tight deadlines. Attention to Detail: Data analysts must be meticulous to ensure accuracy and precision in their work. Soft Skills Communication: Strong verbal and written communication skills are essential for translating techni...
The script emphasized the importance of honest responses for the accuracy of the research findings, which has been shown to reduce hypothetical bias in survey responses (Cummings et al. 1995). To address social desirability bias, several measures were implemented in the questionnaire. First, ...
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Wearable devices are becoming increasingly popular, diverse, and accessible. To put it in perspective, in 2022 alone, more than 490 million wearable device
While thePLSPredictpackage provides a way to assess the model’s predictive power, it does not quantify the model’s predictive accuracy, meaning that, it does not result on a metric or a single score that could be used to accurately capture the true positives and negatives of the predictive...