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AI algorithms approach the theoretical limit of optical measurement precision
No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...
Southern Methodist University (SMU)21h
SMU researcher develops new AI tool to evaluate wine
Recent research published in the Harvard Data Science Review reveals how artificial intelligence (AI) is revolutionizing the ...
IEEE1y
Utilizing Machine Learning Algorithms to Predict Accuracy of the Index of Relative Tectonic Activity (IRTA), Dhansiri (North) River Basin in India and Bhutan
Eleven well-known ML algorithms,namely, Logistic Regression (LR), K Nearest Neighbors (KNN), Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), Gaussian ... were executed in Python ...
GitHub1y
Decision Tree algorithm to predict Powerball outcomes.
Notifications You must be signed in to change notification settings This project involves the development of a Decision Tree algorithm ... techniques for accurate predictions using decision trees and ...
Visual Studio Magazine2y
Binary Classification Using a scikit Decision Tree
Because the decision tree model was trained using normalized and encoded data, the x-input must be normalized and encoded in the same way. Notice the double square brackets on the x-input. The predict ...
IEEE2y
Classification of Fire and Smoke Images using Decision Tree Algorithm in Comparison with Logistic Regression to Measure Accuracy, Precision, Recall, F-score
Abstract: The study's objective is to assess how well the decision tree algorithm ... carried out using Python's Sklearn machine learning package. Metrics like precision, recall, f score, and accuracy ...