Heart-Failure-Prediction

Public

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy

Creat：2022-12-14T00:40:34

Update：2025-02-21T23:41:41

Stars

Stars Increase

Related projects

Awesome Cto

architecture

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

31732

6个月前

+5today

Diffusers

deep-learning

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

31293

6个月前

+13today

LightGBM

data-mining

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

17743

7年前

+2today

Pytorch Grad Cam

class-activation-maps

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

12254

6个月前

+7today

Awesome Diffusion Models

artificial-intelligence

A collection of resources and papers on Diffusion Models

12083

6个月前

+3today

Denoising Diffusion Pytorch

artificial-intelligence

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

10042

6个月前

+2today

Catboost

big-data

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

8616

6个月前

+2today