Good dataset for regression analysis
WebJan 1, 2024 · 5. New York Stock Exchange dataset. Created as a resource for technical analysis, this dataset contains historical data from the New York stock market. The dataset comes in four CSV files: prices, prices … Web6.1 Data Link: Wine quality dataset. 6.2 Data Science Project Idea: Perform various different machine learning algorithms like regression, decision tree, random forests, etc and differentiate between the models and analyse their performances. 7. SOCR data – Heights and Weights Dataset.
Good dataset for regression analysis
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WebLogistic regression was applied to a landslide-prone area in the Apulia Region (Italy) to identify the main causative factors using a large dataset of environmental predictors (47). The results of this case study show that the logistic regression achieved a good performance, with an AUC (Area Under Curve) >70%. WebROC analysis results indicate that the statistical power of 31-lncRNA model for high-risk and low-risk patients is formidable. Therefore, the 31-lncRNA signature predicts OS fairly well based on TCGA data sets, which shows its good predictive performance. The AUC was 0.881, which is better than previously reported results.
WebJan 10, 2024 · Good accuracy for many simple data sets and it performs well when the dataset is linearly separable. Logistic Regression requires average or no multicollinearity between independent variables. It can interpret model coefficients as indicators of feature importance. It is tough to obtain complex relationships using logistic regression. WebData Society · Updated 7 years ago. Health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace. Dataset with 116 projects 9 …
WebJun 21, 2024 · In the case of a regression task, specifically, the solution (function) with the highest probability is crucial. [Ras06][Wik18a][Wik18a] For regression, typically a … WebJan 1, 2024 · 2. CDC data: nutrition, physical activity, obesity. From the Behavioral Risk Factor Surveillance System at the CDC, this dataset includes information about physical activity, weight and average adult …
WebI'm a Data Science graduate student working in data analytics and machine learning and passionate about making data-driven decisions. I have …
WebFeb 20, 2024 · Multiple Linear Regression A Quick Guide (Examples) Published on February 20, 2024 by Rebecca Bevans. Revised on November 15, 2024. Regression … office 2013 herunterladen microsoftWebMar 4, 2024 · Multiple linear regression analysis is essentially similar to the simple linear model, with the exception that multiple independent variables are used in the model. The … office 2013 inserire product keyWebFeb 24, 2024 · Regression algorithms like Linear Regression and SVM; For data analysis, libraries like Pandas and NumPy are useful and libraries like Seaborn and Matplotlib are useful for coming up with a good visualization; Mall Customer Dataset. The Mall customer dataset is about people visiting the Mall. It includes attributes such as gender, age, … office 2013 home and student free downloadmy cat is clingy after vacationWebNov 22, 2024 · Based on the EDA and correlation analysis, three potential models were used in the modeling part. Model 1: Since the correlation analysis shows that quality is highly correlated with a subset of variables (our “Top 5”), I employed multi-linear regression to build an optimal prediction model for the red wine quality. Removing a non ... office 2013 iso google driveWebNew Dataset. emoji_events. New Competition. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0. ... office 2013 home and business publisherWebSo your data set would take about half a gigabyte of memory ( 5 ⋅ 10 6 ⋅ 16 1024 2 ⋅ 6 ). So it is not that big for computers which now usually have 4GB RAM as a standard. The point I am trying to make is that although your data is big it is not massive and so you can do usual regression analysis. Share. Cite. office 2013 installieren