Based on the provided code and error messages, it appears that there are a few issues at play here: Prediction values: The prediction variable contains continuous values between -4.53264842453133 and -3.74479277338508, which is not suitable for binary classification problems where we expect two classes (yes/no). Confusion Matrix Error: The error message from the Confusion Matrix function indicates that there are more levels in prediction than in the reference variable riskScore$death. This suggests that the predictions need to be binarized or discretized into a suitable range for binary classification.

How to Use fct_lump() to Get Top N Levels by Group and Put the Rest in ‘other’ Introduction The fct_lump() function from the tidyverse package is a powerful tool for handling factor levels in data manipulation. In this article, we will explore how to use fct_lump() to get top n levels by group and put the rest in ‘other’. We will also provide an example of how to achieve this using the slice_head() function.

Understanding Heteroskedasticity in Linear Regression Models Introduction Heteroskedasticity is a statistical issue that affects the accuracy of linear regression models. It occurs when the variance of the residuals changes across different levels of the independent variables. In other words, the spread or dispersion of the residuals does not remain constant throughout the model. If left unchecked, heteroskedasticity can lead to biased and inefficient estimates of the regression coefficients. In this article, we will explore how to correct heteroskedasticity using Generalized Linear Models (GLMs) in R, specifically with the glmer function, which includes a weights command for robust variance estimation.

Understanding SSRS Multiple Optional Parameters ==================================================== As a developer working with SQL Server Reporting Services (SSRS), you may have encountered the need to create parameters that can be optional. In this article, we will delve into the world of SSRS and explore how to make parameters both required and optional. Table of Contents Introduction Understanding Optional Parameters in SSRS Adding an OR Condition for Optional Parameters Example Query with Multiple Optional Parameters Best Practices and Considerations Introduction SSRS is a reporting platform that allows users to create, publish, and deploy reports.

Understanding R Data Frames and the Issue with Row Input R is a popular programming language for statistical computing and graphics. One of its key data structures is the data.frame, which is used to store data in a tabular format. In this article, we will explore an issue with inserting rows into an existing data.frame in R and provide solutions to this problem. What are Factors in R? In R, factors are a type of vector that stores data as categorical values.

Reference Class Objects in R: The Equivalent of ’this’ or ‘self’ Introduction R is a popular programming language used extensively in data analysis, statistical computing, and machine learning. While it does not have a built-in object-oriented programming (OOP) system like Python or Java, R provides a unique alternative called reference class objects (RCs), which offer similar functionality through its S4 class system. In this article, we will explore the world of RCs in R, focusing on their structure, how to create and use them, and how they can be used as equivalents of Python’s self keyword or Java’s this keyword.

Why Can’t I Get Results from My Inner Join JDBC Query? When it comes to database queries, especially those involving joins, it’s easy to get frustrated when things don’t work as expected. In this article, we’ll delve into a common issue that can cause problems with inner join queries using JDBC (Java Database Connectivity). We’ll explore the reasons behind this behavior and provide a solution to help you troubleshoot and improve your query performance.

Iterating Over a Dictionary and Accessing Values by Position As a Python developer, it’s not uncommon to encounter situations where you need to iterate over a dictionary and access specific values. In this article, we’ll explore how to achieve this using pandas, which provides an efficient way to manipulate and analyze data. Introduction to Dictionaries in Python In Python, dictionaries are data structures that store mappings of unique keys to values.

Understanding the Problem and the Solution Overview of Scheduling R Scripts with Error Logging As a data analyst or scientist working with R, you likely have encountered situations where running scripts or models results in errors or unexpected output. To troubleshoot these issues, it’s essential to maintain a record of past runs, including any error messages that may have occurred. One common approach is to log the script’s output, which can be achieved using various methods.

Extracting Image URLs from HTML Text ===================================================== Introduction When working with HTML text, it’s not uncommon to encounter image URLs embedded within the text. These can be used for various purposes such as displaying images in a user interface or fetching image data from a server. In this article, we’ll explore how to extract image URLs from HTML text using different programming languages and techniques. Objective-C Solution The question presents an Objective-C scenario where the developer wants to extract the source URL of one or more images from a chunk of HTML text.