R language uses the train function of the caret package to build a Bagging AdaBoost model (Bagged AdaBoost) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators - 코드 세계

R language uses the train function of the caret package to build a Bagging AdaBoost model (Bagged AdaBoost) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

발 2023-06-11 21:08:47 독서 시간: null

NoSuchKey

추천

출처blog.csdn.net/zhongkeyuanchongqing/article/details/130916576

R language uses the train function of the caret package to build a Bagging AdaBoost model (Bagged AdaBoost) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build an xgboost model (based on the gbtree algorithm) model to build a classification model, trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a regularized generalized linear model (glmnet) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a Bagging AdaBoost model (Bagged AdaBoost) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a naive Bayesian model (NB) model to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a KNN proximity algorithm model (KNN) model to build a classification model, trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build an xgboost model (based on the gbtree algorithm) model to build a classification model, trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a conditional inference tree model algorithm (ctree) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a regularized generalized linear model (glmnet) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a penalty discriminant analysis model (pda) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a multi-layer perceptron algorithm model (MLP) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the train function of the caret package to build a multi-layer perceptron algorithm model (MLP) to build a classification model, the trainControl function to set cross-validation parameters, and customize tuning evaluation indicators

R language uses the lift_curve function of the yardstick package to evaluate the performance of the multiclass (Multiclass) model and view the lift curve (lift curve) of the model on each classification of the multiclass.

R language ggplot2 visualizes polynomial curves, polynomial equations and polynomial model evaluation index R square: Use the ploynom package to fit a third-order polynomial model

How to build a GPT model?

Model -- the usage of eval function in model

[Machine Learning] Model Evaluation - Handwritten Digit Set Model Training and Evaluation

How to customize the large language model of the vertical industry?

Virtual function table && polymorphic model

R language uses the ggplot2 package to visualize scatter plots: use the element_line parameter to customize the color of the axis

OpenCv uses knn to train character recognition model python

R language uses deep learning to build a network security intrusion detection system

10 Large Language Model Projects to Build Your Portfolio Build end-to-end applications and demonstrate your skills using large language models (LLMs)

Module build failed: TypeError: this.getResolve is not a function

R language uses the write.table function to write or export dataframe or Matrix to a file.

추천

행

EasyNTS 비디오 클라우드 네트워킹을 네트워크 장치 침투에 사용할 수 있습니까? 어떻게하나요?

mysql 데이터베이스에 연결할 C 언어 (2 개)

기본 지식 콘텐츠 레이아웃 1 인 flexbox 반응

중국과학원 1지구 최고 저널 | DilateFormer: 플러그 앤 플레이 멀티 스케일 글로벌 어텐션 메커니즘(소스 코드 구현 포함)

표적 탐지 YOLO 실무 적용 사례 100개 강의 - 합성곱 신경망 기반 차량 표적 탐지 및 추적 방법 연구 (계속)

일반적인 GPU 구성으로 Tensorflow 분산 프로그래밍 재생

P1135 奇怪的电梯（BFS）

작은 백 오피스 시스템 UI 프레임 워크 --EasyUI

Layui 日期时间控件

D455+VINS-Fusion+surfelmapping 밀집 매핑(2)

아카이브

기타

2020-04-08(1460)

2020-04-07(1517)

2020-04-06(1499)

2020-04-05(1440)

2020-04-04(1629)

2020-04-03(1644)

2020-04-02(1572)

2020-04-01(1665)

2020-03-31(1639)

2020-03-30(1334)