Testador para o SuSy / SuSy Tester — IC/UNICAMP
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Feb 20, 2019 - Python
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susy
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Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work sensitivity is also considered. Treating each record individually, differences are found in the results for each record depending on the model used, which…
machine-learning random-forest naive-bayes sklearn logistic-regression adaboost decision-tree susy abalone gradient-boosting hastie
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Feb 9, 2022 - Python
A 3-level decision tree achieves a 76.48% success rate in the SUSY file test (https://archive.ics.uci.edu/ml/datasets/SUSY)
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Dec 22, 2021 - Python
Repo for my exploration for Disappearing Tracks in LHCb
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May 18, 2022 - Python
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