high quality classifier with iso approve

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  Two-Stage Hybrid Data Classifiers Based on SVM and kNN …

  202147 · Abstract and Figures. The paper considers a solution to the problem of developing two-stage hybrid SVM-kNN classifiers with the aim to increase the data classification quality by refining the ...

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  An ensemble machine learning based bank loan approval …

  202361 · While some prior research has ventured into machine learning models for predicting loan default, reliance on a single classifier is insufficient for real-world deployment (Kadam et al., 2021). Therefore, we introduce an ensemble approach utilizing top-performing machine learning algorithms to enhance loan approval systems.

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  Photo quality classification using deep learning

  2021324 · The detection of poor quality images for reasons such as focus, lighting, compression, and encoding is of great importance in the field of computer vision. The ability to quickly and automatically classify an image as poor quality creates opportunities for a multitude of applications such as digital cameras, phones, self-driving cars, and web …

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  DeepFundus: A flow-cytometry-like image quality classifier …

  2023221 · However, most AI-based models are mainly built using high-quality images preprocessed in the laboratory, which is not representative of real-world settings. ... DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence Cell Rep Med. 2023 Feb 21;4(2):100912. doi: 10.1016/j ...

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  Machine Learning Classifiers - The Algorithms & How They …

  20201214 · As the rules are learned sequentially, from trunk to leaf, a decision tree requires high quality, clean data from the outset of training, or the branches may become over-fitted or skewed.. Naive Bayes Classifier. Naive Bayes is a family of probabilistic algorithms that calculate the possibility that any given data point may fall into one or more …

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  Guidance on Classification and Conformity …

  201891 · Germination percentage in a calibration set of seeds was 79.1% and. the selection rate was 90.0%. These results indicated that the model was effective in predicting seed germination based on ...

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  Machine learning for mHealth apps quality evaluation

  2023523 · Mobile apps for healthcare (mHealth apps for short) have been increasingly adapted to help users manage their health or to get healthcare services. User feedback analysis is a pertinent method that can be used to improve the quality of mHealth apps. The objective of this paper is to use supervised machine learning algorithms to …

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  Critical Data Elements: Identification, Validation, and …

  2014221 · The data quality (DQ) assessment and improvement initiative begins with identifying the data elements that need to be monitored, assessed, and improved from tens of thousands of data elements. This chapter discusses how to identify critical data elements (CDEs), how to validate them, and how to conduct CDE assessment with the help of DQ …

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  How to create text classifiers with Machine Learning

  2017131 · After getting the data, you'll be ready to train a text classifier using MonkeyLearn. For this, you should follow these steps: 1. Create a new model and then click Classifier: Creating a text classifier on MonkeyLearn. 2. Import the text data using a CSV/Excel file with the data that you gathered:

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