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Maximizing Your Model Potential: Custom Dataset vs. Cross-Validation

Towards AI

Last Updated on June 14, 2023 by Editorial Team Author(s): Jan Marcel Kezmann Originally published on Towards AI. Some swear by the reliability and control offered by a fixed custom dataset, while others advocate for the flexibility and robustness of cross-validation. Join thousands of data leaders on the AI newsletter.

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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

Flipboard

The code below will: Run 15+ models Evaluate them with cross-validation Return the best one based on performance All in two lines of code. We will use the same dataset to create the models and compare performance. We will use the entire dataset as PyCaret itself does a test-train split.

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AI-driven mangrove mapping on Farasan Islands, Saudi Arabia: enhancing the detection of dispersed patches with ML classifiers

Flipboard

This study used 2023 Landsat 8 SR data within the Google Earth Engine (GEE) platform to classify mangrove and non-mangrove areas in the Farasan Islands Protected Area in Saudi Arabia. Mangroves provide essential ecological benefits, and accurate classification is vital for their protection. and a kappa coefficient (KC) of 0.84. OA and 0.76

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Meet the Visiting Research Professor: Arian Maleki

NYU Center for Data Science

Arian’s research has appeared in journals covering novel work in machine learning and artificial intelligence such as “ Sharp concentration results for heavy-tailed distributions ” (Information and Inference, 2023) and “ Compressed sensing in the presence of speckle noise” (Transactions on Information Theory, 2022).

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Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations

Flipboard

We retrospectively collected data on patients’ underlying diseases, blood coagulation tests, procedures, and medications before neurological symptom onset from 206 patients at the Chungbuk National University Hospital ICU (July 2020–July 2022) and 45 patients at Chungnam National University Hospital between (July 2020–March 2023).

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Meet the winners of the Forecast and Final Prize Stages of the Water Supply Forecast Rodeo

DrivenData Labs

Final Stage Overall Prizes where models were rigorously evaluated with cross-validation and model reports were judged by a panel of experts. The cross-validations for all winners were reproduced by the DrivenData team. Lower is better. Unsurprisingly, the 0.10 quantile was easier to predict than the 0.90

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Meet the finalists of the Pushback to the Future Challenge

DrivenData Labs

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. She acted as the student lead in the PPML group's winning participation in the iDASH2021 and 2023 U.S.-U.K. PETs Prize Challenge, a U.S. PETs Prize challenges.