User contributions for Fortify

From CS Wiki
Search for contributionsExpandCollapse
⧼contribs-top⧽
⧼contribs-date⧽

30 November 2024

  • 23:3823:38, 30 November 2024 diff hist +3,203 N Holdout (Data Science)새 문서: '''Holdout''' in data science refers to a method used to evaluate the performance of machine learning models by splitting the dataset into separate parts, typically a training set and a testing set. The testing set, often called the "holdout set," is kept aside during model training and is only used for final evaluation to ensure unbiased performance metrics. ==How Holdout Works== The holdout method involves the following steps: *The dataset is split into two (or sometimes three... current Tag: Visual edit
  • 23:2223:22, 30 November 2024 diff hist +3,975 N PHP-FPM pm.max children새 문서: '''pm.max_children''' is a directive in PHP-FPM (FastCGI Process Manager) configuration that specifies the maximum number of child processes that can be created to handle incoming requests. This setting is critical for managing server resources and ensuring that PHP-FPM can efficiently handle concurrent traffic without overloading the server. ==Overview== *The `pm.max_children` directive determines the upper limit on the number of simultaneous PHP-FPM worker processes. *When the... current Tag: Visual edit
  • 23:1323:13, 30 November 2024 diff hist +3,193 N Apache FollowSymLinks새 문서: '''FollowSymLinks''' is a directive in the Apache HTTP Server configuration that controls whether symbolic links (symlinks) in the server's document root or other directories can be followed. Symbolic links are files that point to other files or directories. The FollowSymLinks directive is often used to manage access and behavior related to these links in a web server environment. ==Syntax== The directive is used within Apache configuration files (e.g., `httpd.conf` or `.htacces... current Tag: Visual edit
  • 21:1221:12, 30 November 2024 diff hist +2,776 N Diaper-Beer Syndrome새 문서: '''Diaper-Beer Syndrome''' refers to a popular anecdote in data mining that suggests a correlation between the sales of diapers and beer. According to the story, data analysis at a retail store revealed that young fathers often purchased diapers and beer together, especially on Friday evenings. Although this example is frequently cited to demonstrate the potential of data mining, its authenticity remains doubtful. == The Legend == The legend goes as follows: * Retail analysts d... current
  • 01:2201:22, 30 November 2024 diff hist +531 Missing DataNo edit summary current Tag: Visual edit
  • 00:2500:25, 30 November 2024 diff hist +926 Min-Max ScalingNo edit summary current Tag: Visual edit
  • 00:1900:19, 30 November 2024 diff hist +2,912 N Min-Max ScalingCreated page with "'''Min-Max Scaling''' is a data normalization technique used to scale features to a fixed range, typically [0, 1]. It ensures that all features contribute equally to the analysis or model by transforming the original values proportionally to fit within the specified range. Min-Max Scaling is widely used in data preprocessing for machine learning and statistical analysis. ==Overview== Min-Max Scaling transforms the data linearly by rescaling each value based on the featur..." Tag: Visual edit

29 November 2024

  • 21:4821:48, 29 November 2024 diff hist +3,693 N PHP-FPM Dynamic Process ManagementCreated page with "'''PHP-FPM Dynamic Process Management''' refers to one of the modes available in PHP-FPM (FastCGI Process Manager) to manage worker processes. In this mode, the number of worker processes dynamically adjusts based on server load, ensuring efficient use of system resources while maintaining the ability to handle varying traffic levels. ==Overview== PHP-FPM is a robust process manager for PHP, and its dynamic mode is designed to strike a balance between performance and res..." current Tag: Visual edit
  • 21:4521:45, 29 November 2024 diff hist +2,705 N PHP-FPM pm.max spare serversCreated page with "'''pm.max_spare_servers''' is a configuration directive in PHP-FPM (FastCGI Process Manager) that specifies the maximum number of idle (spare) worker processes to maintain in the pool. It is used when the process manager (pm) is set to '''dynamic'''. This directive ensures that server resources are not wasted by limiting the number of idle worker processes. ==Overview== In dynamic process management mode, PHP-FPM adjusts the number of worker processes based on the server..." current Tag: Visual edit
  • 21:4421:44, 29 November 2024 diff hist +2,629 N PHP-FPM pm.min spare serversCreated page with "'''pm.min_spare_servers''' is a configuration directive in PHP-FPM (FastCGI Process Manager) used to specify the minimum number of idle (spare) worker processes that should be maintained in the pool. It is applicable when the process manager (pm) is set to '''dynamic'''. This directive ensures that there are always enough idle workers available to handle incoming requests without unnecessary delays. ==Overview== When PHP-FPM is configured to use the '''dynamic''' process..." Tag: Visual edit
  • 21:4021:40, 29 November 2024 diff hist +26 Time Series DataNo edit summary current Tag: Visual edit
  • 21:2821:28, 29 November 2024 diff hist +3,815 N Time Series DataCreated page with "'''Time Series Data''' refers to a sequence of data points collected or recorded at successive, evenly spaced points in time. This type of data is used to track changes over time and is a critical component in various fields like finance, economics, environmental science, and machine learning. ==Overview== Time series data captures how a variable evolves over time. The primary characteristic of time series data is its temporal ordering, meaning that the order of the obse..." Tag: Visual edit
  • 21:1821:18, 29 November 2024 diff hist +52 Lagged Time SeriesNo edit summary current Tag: Visual edit: Switched
  • 21:1721:17, 29 November 2024 diff hist +2,962 N Lagged Time SeriesCreated page with "'''Lagged Time Series''' refers to a transformation of time series data where previous values (lags) of the series are used to predict or understand future values. Lagged variables are essential in time series analysis and forecasting, as they help capture the temporal dependencies and autocorrelation within the data. ==Overview== In a lagged time series, the value of a variable at a specific time point is related to its values at earlier time points. This is particularl..." Tag: Visual edit
  • 19:5619:56, 29 November 2024 diff hist +3,378 N Shapley ValueCreated page with "'''Shapley Value''' is a concept from cooperative game theory that provides a fair distribution of a total "payout" among players based on their individual contributions to the group. It is widely used in economics, decision-making, and machine learning for feature attribution and model interpretability. The Shapley Value ensures that each participant's contribution is valued in a mathematically fair and consistent manner...." current Tag: Visual edit
  • 17:3817:38, 29 November 2024 diff hist +2,985 N SHAP AnalysisCreated page with "'''SHAP Analysis''' (SHapley Additive exPlanations) is a machine learning interpretability technique based on cooperative game theory. It is used to explain the predictions of complex machine learning models by attributing the contribution of each feature to the model's output. SHAP values provide a consistent and mathematically sound way to interpret individual predictions and global feature importance. ==Overview== SHAP values are derived from Shapley values, a concept..." current Tag: Visual edit
  • 17:1417:14, 29 November 2024 diff hist +3,032 N Beeswarm PlotCreated page with "'''Beeswarm Plot''' is a data visualization technique used to display individual data points along a single axis, often overlaid with a distribution representation. It helps to visualize the spread, density, and clustering of data points while avoiding overlap. Beeswarm plots are commonly used in exploratory data analysis to understand data distributions and outliers. ==Overview== thumb|Beeswarm Plot Beeswarm plots arrange individual data point..." current Tag: Visual edit
  • 17:1417:14, 29 November 2024 diff hist +100 N File:Beeswarm Plot.pngNo edit summary current
  • 17:0817:08, 29 November 2024 diff hist +176 Waterfall PlotNo edit summary current Tag: Visual edit
  • 17:0717:07, 29 November 2024 diff hist +99 N File:Three Dimensional Waterfall Plot.pngNo edit summary current
  • 17:0617:06, 29 November 2024 diff hist +135 N File:Waterfall Plot.pngNo edit summary current
  • 13:1413:14, 29 November 2024 diff hist +2,999 N DNS PROBE FINISHED NXDOMAINCreated page with "'''DNS_PROBE_FINISHED_NXDOMAIN''' is an error message displayed by web browsers, such as Google Chrome, indicating that the Domain Name System (DNS) could not resolve the domain name into an IP address. This error means that the requested domain does not exist or the DNS query failed. == Overview == When a user tries to access a website, the DNS translates the domain name (e.g., example.com) into an IP address. The '''NXDOMAIN''' in the error message stands for "Non-Exi..." Tag: Visual edit: Switched
  • 00:3900:39, 29 November 2024 diff hist +2,797 N Extrapolation (Data Science)Created page with "'''Extrapolation''' is a data science technique used to estimate or predict values beyond the range of observed data. It involves extending a known trend, pattern, or relationship to predict outcomes for new, unobserved data points. While powerful, extrapolation can introduce significant errors if the assumptions about the data's behavior outside the observed range are incorrect. ==Overview== Extrapolation assumes that trends or relationships in the known data set remain..." current Tag: Visual edit
  • 00:3200:32, 29 November 2024 diff hist +3,025 N Confounder (Data Science)Created page with "'''Confounder''' is a variable that influences both the dependent variable and one or more independent variables, potentially leading to a spurious association or bias in the analysis. In data science, identifying and addressing confounders is crucial to ensure the validity of causal inferences and statistical models. ==Overview== Confounders introduce bias by creating a false relationship between the variables of interest. If not properly controlled, they can lead to in..." current Tag: Visual edit