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Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action

ML @ CMU

Since landmines are not used randomly but under war logic , Machine Learning can potentially help with these surveys by analyzing historical events and their correlation to relevant features. Validation results in Colombia. Each entry is the mean (std) performance on validation folds following the block cross-validation rule.

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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

Figure 1 Preprocessing Data preprocessing is an essential step in building a Machine Learning model. Deep ensemble learning models utilise the benefits of both deep learning and ensemble learning to produce a model with improved generalisation performance. Ensemble deep learning: A review. and Schutze H.,

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split. Summary This challenge showed a great experiment testing machine learning tactics applied to a real-world entertainment industry.

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Calibration Techniques in Deep Neural Networks

Heartbeat

International conference on machine learning. Measuring Calibration in Deep Learning. Cross Validated] Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016

Flipboard

We used LASSO regression and 20-fold cross-validation to screen for the variables with the greatest predictive value. The dataset was divided into training and validation sets in a 7:3 ratio, and SMOTE was used to expand the training set with a ratio of 1:1.

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Meet the winners of Phase 2 of the PREPARE Challenge

DrivenData Labs

Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021. Next, for participants who had been tested in 2016, I estimated their 2021 scores by adding the predicted score difference to their 2016 scores.