#logisticregression — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #logisticregression, aggregated by home.social.
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However, this comes with plenty of caveats and blind spots.
xG assumes that shots are independent Bernoulli trials.
In reality, shots within a match are correlated.
A team that's behind on the scoreboard tends to generate more chances, but often of lower quality.
The model also doesn't account for how good (or bad) the goalkeeper is. Nor does it capture the pressure or motivation players feel when taking a shot.
It also fails to capture the tactical context of a match.
In the end, there are moments when it's like modeling market correlations with a Pearson correlation matrix during a financial panic. The dependence structure changes. You need copulas!
Even with its limitations, though, xG remains one of the best metrics we have for characterizing a football match.
The scoreboard tells you who won.
xG tells you who was more likely to have won based on the chances they created.
#ExpectedGoals #xG #FootballAnalytics #SoccerAnalytics #DataScience #SportsAnalytics #Probability #Statistics #MachineLearning #LogisticRegression #GradientBoosting #Bernoulli #ExpectedValue #Football #Soccer #WorldCup #FIFA #TacticalAnalysis #PerformanceAnalysis #SportsData #DataVisualization #Analytics #QuantitativeAnalysis #Mathematics #PredictiveModeling #FootballStats #xGA #Mbappe #Spain #Argentina
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Platt scaling calibrates HSVM binary predictions into probabilities using logistic regression, enabling effective multiclass classification https://hackernoon.com/platt-scaling-for-hsvm-calibrating-binary-to-probabilistic-predictions #logisticregression
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CPC-CG member Professor Ann Berrington will discuss #partnership and #fertility trajectories, drawing on #data from the 1970 #British #Cohort Study (#BCS70), as part of the #UCL #Quantitative #SocialScience and Centre for #Longitudinal Studies seminar series.
Weds 26 Nov | 13:00-14:00 | Hybrid
#sequenceanalysis #logisticregression #trajectories #wellbeing #birthcohort #lifecourse #childhood #mentalhealth #quantitativesocialscience #population #demography
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Как написать собственные классы классификации для маленьких
В прошлый раз я уже рассказывала о том, как в ходе обучения в "Школе 21" создавала класс линейной регресии , на этот раз будем рассматривать реализацию LogisticRegression, GaussianNB, KNN. Как и в прошлый раз, минимум теории, максимум практики.
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Logistic regression may be used for classification.
In order to preserve the convex nature for the loss function, a log-loss cost function has been designed for logistic regression. This cost function extremes at labels True and False.
The gradient for the loss function of logistic regression comes out to have the same form of terms as the gradient for the Least Squared Error.
More: https://www.baeldung.com/cs/gradient-descent-logistic-regression
#optimization #algebra #linearAlgebra #math #maths #mathematics #mathStodon #ML #dataScience #machineLearning #DeepLearning #neuralNetworks #NLP #modeling #modelling #models #dataDev #AIDev #regression #modelling #dataLearning #probabilities #logisticRegression #logLoss #sigmoid #classification #differentialCalculus #loss
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Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
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https://doi.org/10.3390/geosciences14110315 <-- shared paper
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[takes me back to my engineering geology days in the Southern Hemisphere, including my thesis – with a healthy dose of spatial analysis and modeling – and all with a specific use; what is not to like?]
#GIS #spatial #mapping #landslides #massmovement #Inca #Andes #irrigation #terraces #Peru #SouthAmerica #confusionmatrix #logisticregression #geohazards #spatialanalysis #spatiotemporal #terracing #water #hydrology #surfaceflow #geomechanical #geotechnical #Ticsani #algorithm #processes #geostatistics #river #slope #agriculture #farming #soils #geology #risk #hazard #publicsafety #fem #model #modeling #rainfall #precipitation #permeability #groundwater #subsurfaceflow #instability #fluvial #erosion -
Dive into Hyperparameter Tuning for Logistic Regression! Learn to optimize your model's performance with GridSearchCV. Boost your machine learning skills now! #MachineLearning #LogisticRegression #Optimization
https://teguhteja.id/hyperparameter-tuning-logistic-regression-optimizing-model-performance/
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📢 Paper alert:
"Maximizing the forecasting skill of an ensemble model"
https://academic.oup.com/gji/article/234/1/73/6994524
#doi: 10.1093/gji/ggad020An #ensemble model combines a set of (#probabilistic) #forecasts. To obtain model weights that maximize its skill, we use multivariate #LogisticRegression. This ensemble strategy is superior to weighting forecasts equally or according to their individual skill – as demonstrated for operational #earthquake #forecasting in Italy (15 years of data).
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Comparing Linear and Logistic Regression.
Discussion on an entry level data science interview question.
(by Devesh Rajadhyax | Nov, 2022 | Towards Data Science)
https://towardsdatascience.com/comparing-linear-and-logistic-regression-11a3e1812212
#statistics #research #data #datascience #dataanalytics #linreg #logreg #linearregression #logisticregression #dataresearch #sociology #psychology @sociology
