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Connected with the change in scikit, I think that the values of "votes" should be divided by "node_count"
API Change The tree_.value attribute in [tree.DecisionTreeClassifier](https://scikit-learn.or…
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We need to extract the embedding of a pass1 run before the reduction steps that creates the db nodes that we can view in the frontend. To pass "a copy" of the original pass1 embeddings to the classif…
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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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Using the relevant dataset, a machine learning model has been trained to detect whether a person is suffering from heart disease or not. The model has been trained using two classification techniques:…
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Can I work on this issue?
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### What should we add?
we should include more classifiers:
- [ ] Quantum K-NN has already been done, but only fit the old version.
https://github.com/GroenteLepel/qiskit-quantum-knn
- [ ] Qu…
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Problem Description:
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related att…
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Random forest classifier model test
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## Issue Description
I run a scrip performing a series of operations to test the accuracy and privacy of two of the available data synthesis methods: DPGAN vs PATECTGAN. (script : `run_comparison.py`…