7 results on '"RANDOM forest algorithms"'
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2. Identifying Freshness of Shrimp Following Refrigeration Using Near-Infrared Hyperspectral Imaging.
3. Lignocellulose Determination and Categorization Analysis for Biofuel Pellets Based on FT-IR Spectra.
4. Avoid common data preparation mistakes to improve analytics results.
5. Using machine learning to accelerate composites processing simulation.
6. Beware of Faulty Efficiency Claims -- Part 2: Regression-type algorithms learn to approximate a function by 'seeing' the data.
7. Machine learning predicts organic reaction performance: Using data from thousands of reactions, algorithm points chemists to the best reagents to use in an amination reaction.
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