초보자도 쉽게 하는 머신 러닝 / 예측 모형.

Machine Learning / Prediction Model
that makes it easy to begin.

example research Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models

2021년 4월 28일 수요일

Machine Learning / Prediction Model that makes it easy to begin.

베이지안 예측모형 Bayesian Prediction Model

인공신경망 예측모형 Artificial Neural Network Model

검토와 validation(1)

K 근접법 예측모형 K -Nearest Neighbor Prediction Model

>>Learning Vector Quantization(LVQ) Prediction Model

>>SOM(Self Organizing Map) Prediction Model

SVM 예측모형 SVM Prediction Model

>> Discriminant Prediction Model

결정나무 예측모형 Decision Tree Prediction Model

Random Forest 예측모형 Random forest Prediction Model

Bagging 예측모형 Bagging Prediction Model

Gradient boosting 예측모형 Gradient boosting Prediction Model

>> Extreme Gradient boosting

딥러닝 예측모형 Deep Learning Prediction Model

>>Ensemble Prediction Model

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data for logisctic

로지스틱 회귀분석 예측모형 Logistic regression prediction model

https://tinyurl.com/Prediction-Logistic-CV

검토와 validation(2)

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생존 자료의 예측모형 Prediction model of survival data

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선형 회귀분석 예측모형 Linear regression prediction model

>> Prediction from Ridge & LASSO Regression

https://tinyurl.com/Prediction-Ridge-LASSO

Bayesian Model Averaging 예측모형 Bayesian Model Averaging Prediction Model

SVM 예측모형 SVM Prediction Model

>>Generalized Boosted Regression Prediction Models

>>Prediction from Principal Component and Partial Least Squares Regression

>>Nonlinear Regression Prediction Models

>> Prediction from RuleFit

검토와 validation(3)

예측모형의 메타분석 Meta-analysis of predicted models

NRI (Net Reclassification Improvement)

>> NRI and IDI from Logistic Regression model

노모그램(Cox/ Weibull/ Logistic)Nomogram

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