dataset = pandas.read_csv('avalanche.csv',delimiter="\t") #Let's have a look at the data dataset importgraphing# custom graphing code. See our GitHub repo for details graphing.box_and_whisker(dataset,label_x="avalanche",label_y="surface_hoar",show=True) ...
正则化技术是一种改善或减小过拟合问题的方法。线性回归过拟合问题: 逻辑回归过拟合问题: 解决过拟合问题: 正则化:加入惩罚因子λ(正则化参数),使得高阶项尽可能小(趋近于0),J(θ)曲线越平滑线性回归的正则化: Logistic回归的正则化: 特征离散化解决非线性特征问题 ...
Regression models describe the relationship between variables by fitting a line to the observed data. Linear regression models use a straight line, while logistic and nonlinear regression models use a curved line. Regression allows you to estimate how a dependent variable changes as the independent va...
import numpy as np from .metrics import r2_score class SimpleLinearRegression: def __init__(self): """初始化Simple Linear Regression模型""" self.a_ = None self.b_ = None def fit(self, x_train, y_train): """根据训练数据集x_train, y_train训练Simple Linear Regression模型""" assert ...
逻辑回归(Logistic Regression) 在这节课中,我们会重温逻辑回归学习算法,该算法适用于二分类问题,本节将主要介绍逻辑回归的Hypothesis Function(假设函数)。 对于二元分类问题来讲,给定一个输入特征向量X,它可能对应一张图片,你想识别这张图片识别看它是否是一只猫或者不是一只猫的图片,你想要一个算法能够输出预测,你...
Explore and run machine learning code with Kaggle Notebooks | Using data from Gendered Pronoun Resolution
How to calculate a simple linear regression step-by-step. How to perform all of the calculations using a spreadsheet. How to make predictions on new data using your the model. A shortcut that greatly simplifies the calculation. This tutorial was written for developers and does not assume any...
The present paper considers a bias correction of AIC for selecting variables in the generalized linear model (GLM). The GLM can express a number of statistical models by changing the distribution and the link function, such as the normal linear regression model, the logistic regression model, ...
A simple model is as important as any kind of model. That is the crucial message the article wants to convey, and we will explore why. So, let’s get into it. Simple Models and the Advantages When we talk about simple models, what constitutes a simple model? Logistic regression or naiv...
Sensitivity and specificity are statistical terms but would not apply to a linear regression with the standard model. Logistic regression would include a sensitivity analysis. A more detailed description of your problem is required. @matt23 wrote: Would sensitivity just mean the coefficient for the ...