Evaluate on three different ML model for feature selection using Breast cancer data.

Last update: Mar 17, 2022

Overview

Anomaly-detection-Feature-Selection

Evaluate on three different ML model for feature selection using Breast cancer data.

ML models: SVM, KNN and MLP.

Report recall and Precision of each model.

Data

Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. n the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34]

More details about data : https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

Owner

Tarek idrees

Bioinformatics Engineer👨‍🔬

GitHub Repository

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Evaluate on three different ML model for feature selection using Breast cancer data.

Related tags

Overview

Anomaly-detection-Feature-Selection

Data

Owner

Tarek idrees

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification

Official code for HH-VAEM

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Python implementation of the rulefit algorithm

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Customers Segmentation with RFM Scores and K-means

Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them

This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Code base of KU AIRS: SPARK Autonomous Vehicle Team

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

This project has Classification and Clustering done Via kNN and K-Means respectfully

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BudouX is the successor to Budou, the machine learning powered line break organizer tool.

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PLUR is a collection of source code datasets suitable for graph-based machine learning.

PROTEIN EXPRESSION ANALYSIS FOR DOWN SYNDROME

Time series forecasting with PyTorch

A Lightweight Hyperparameter Optimization Tool 🚀

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