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Project Title : Heart Disease Prediction using Machine Learning(DL)
Aim: Compare neural network and random forest algorithms to determine the best model for heart disease prediction using accuracy …
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Description:
Given that the salary variable is a continuous variable, it would be right to apply regression models such as linear regression, random forest regressor, decision tree regressor, etc., …
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[issue.csv](https://github.com/user-attachments/files/15572106/issue.csv)
The AutoMLSearch keeps crashing with the simple dataset. Running the code in terminal gives segmentation error. If run in J…
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H2O's Distributed Random Forest algorithm does not have a booklet. Therefore, a lot of the implementation details have never been written down and should be documented for reference. Writing this bo…
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I'm trying to use InterpretML to identify the most relevant features for a classification problem.
After applying two different classifiers (EBM Classifier and Random Forest Classifier) over the sa…
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I'm using fixed seed enemy randomizer. I entered the room in the Forest Temple where an enemy is meant to be killed in order to spawn a chest and unbar the doors, however no enemy is showing up, resul…
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Hi,
Tree SHAP seems to work great on boosted tree models like XGBoost. But after reading the paper on [Consistent feature attribution for tree ensembles](https://arxiv.org/abs/1706.06060) I'm wonde…
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##### System information (version)
- OpenCV => 3.1
- Operating System / Platform => mac
- Compiler => clang
##### Detailed description
##### Steps to reproduce
Random fores…
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**Is your feature request related to a problem? Please describe.**
XG boost algorithm might be helpful . XGboost is an boosting algorithm also known as EXTREME GRADIENT BOOSTING. It might be helpful …
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#### Description
To enhance the performance of the flight delay prediction model, we should explore the use of more advanced machine learning models and perform hyperparameter tuning. The following s…