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_model-metrics-124-introduction-to-text-analytics-with-r-part-9.webp "Part 9 of this video series includes specific coverage of:nn- The importance of metrics beyond accuracy for building effective models.n- Coverage of sensitivity and specificity and their importance for building effective binary classification models.n- The importance of feature engineering for building the most effective models.n- How to identify if an engineered feature is likely to be effective in Production.n- Improving our model with an engineered feature.nnnThe data and R code used in this")
_sensitivity-and-specificity-simplified.webp "Let's Learn Public Health")
_sensitivity-amp-specificity-explained.webp "Physiotutors")
_what-is-the-gap-and-predictable-change-in-forecasted-income-statement.webp "The \")
_sensitivity-and-specificity-explained-in-3-minutes.webp "Global Health with Greg Martin")
_machine-learning-fundamentals-sensitivity-and-specificity.webp "StatQuest with Josh Starmer")
_what-are-financial-forecasts-and-loans.webp "Financial forecasts and loans are closely related concepts that play a significant role in the financial management of businesses. Let's explore each one:<br/><br/>Financial Forecasts:<br/><br/>Financial forecasts are projections of a company's future financial performance based on historical data, current trends, and assumptions about future conditions.<br/>These forecasts typically include estimates of revenue, expenses, profit margins, cash flow, and other financial metrics over a specific period, such as a fiscal year or quarter.<br/>Financial forecasts are used for various purposes, including budgeting, strategic planning, performance evaluation, investor communication, and decision-making.<br/>Common types of financial forecasts include income statements, balance sheets, cash flow statements, and financial ratios.<br/>Accuracy and reliability of financial forecasts are critical for effective decision-making and risk management.<br/><br/>Loans:<br/><br/>Loans are financial instruments provided by lenders (such as banks, financial institutions, or private lenders) to borrowers, allowing them to borrow a certain amount of money for a specified period, typically with interest.<br/>Businesses often use loans to finance capital investments, expand operations, manage cash flow, or fund other business activities.<br/>Types of business loans include term loans, lines of credit, equipment financing, working capital loans, and commercial mortgages, each with different terms, interest rates, and repayment schedules.<br/>When applying for a business loan, borrowers are typically required to provide financial forecasts, including income statements, balance sheets, and cash flow projections, to demonstrate their ability to repay the loan.<br/>Lenders evaluate loan applications based on factors such as the borrower's creditworthiness, financial stability, business plan, collateral, and repayment capacity.<br/>Interest rates, loan terms, and loan amounts vary depending on the lender's assessment of risk and the borrower's financial situation.<br/>Repayment of loans typically involves periodic payments of principal and interest over the loan term, with the possibility of early repayment or refinancing.<br/>Loans can be an important source of funding for businesses, but they also come with risks, including interest costs, repayment obligations, and potential impact on the company's financial flexibility and creditworthiness.<br/><br/>In summary, financial forecasts are projections of a company's future financial performance, while loans are financial instruments that provide funding to businesses. Financial forecasts are often used when applying for loans to demonstrate the borrower's ability to repay the loan and assess the financial impact of borrowing on the company's operations.")
_confusion-matrix-solved-example-accuracy-precision-recall-f1-score-prevalence-by-mahesh-huddar.webp "Mahesh Huddar")
_binary-classification-understanding-auc-roc-precision-recall-amp-sensitivity-specificity.webp "Jeff Heaton")
_breast-cancer-classification-based-on-fully-connected-layer-first-neural-networks-myprojectbazaar.webp "Both Wisconsin diagnostic breast cancer (WDBC) database and the Wisconsin breast cancer database (WBCD) are structured datasets described by cytological features. In this paper, we were seeking to identify ways improve the classification performance for each of the datasets based on convolutional neural networks (CNN). However, CNN is designed for unstructured data, especially for image data, which has been proven to be successful in the field of image recognition. A typical CNN may not keep its")
_sensitivity-specificity-ppv-and-npv.webp "DrCropperVO")
_sensitivity-vs-specificity-explained-medical-biostatistics.webp "MedCram - Medical Lectures Explained CLEARLY")
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