Examples of using Prediction model in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
Decision tree is a prediction model using tree structure or hierarchical structure.
The combinations of attributes which are responsible for clients to have a high probability of notpaying back will be identified by the prediction model, too.
A prediction model that takes into account various factors determines the cities that will be flooded out of a total of 293.
The scale of dataavailable allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific.'.
Using this data table a prediction model is created in order to predict the probability for each class for new clients.
The scale of dataavailable allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific.”.
The prediction models arrive at the overall winner by simulating the winner of each game based on the ability of the two teams.
He was the first person to successfully usestep-wise multiple discriminate analysis to develop a prediction model with a high degree of accuracy.
All the prediction models generate probabilities by counting the number of times a team won and dividing by the total number of simulations.
It is hoped the improved accuracy through machine learning prediction models will lead to better diagnosis and treatment for mental health conditions.
Fetch provides a vast digital world for ULedger's customer's data alongside unparalleled opportunities to build anduse collaborative prediction models.
One prediction model created by statisticians from Austria gives Australia a tiny 0.0022 probability of lifting the trophy- around 1 chance in 450.
Fetch provides a vast digital world for ULedger's customer data alongside its unparalleled opportunities to build anduse collaborative prediction models.
Gradient boosting is a machine learning technique for regression problems,which produces a prediction model in the form of an ensemble of weak prediction models. .
The scientists are still testing prediction models to determine how much of the variation in sea surface temperature is caused by natural cycles, and how much could be due to climate change.
In this stage the results of datamining techniques in the form of distinctive patterns and prediction models are evaluated to assess whether the existing hypotheses have indeed been reached.
In order to predict, and hopefully prevent, such fires in the future, we havelooked at how far in advance they can be anticipated using a seasonal weather prediction model.
The scale of dataavailable allowed us to build an all-cause mortality prediction model, instead of being disease- or demographic-specific," says Stanford's Anand Avati.
Wang and team estimated the annual levels of pollution at the participants' residences by calculating their nitrogen dioxide, ozone,and fine particulate matter levels using a standard geostatistical prediction model.
We included these factors in our flood risk prediction model, but there are other factors driving flooding, such as sedimentation and the accumulation of waste in Jakarta's rivers.
Gradient boosting is a machine learning technique for regression and classification problems,which uses the idea of creating a prediction model combining multiple weak models, usually decision trees.
To note, the Sadewa-LAPAN prediction model that has been developed has a five kilometer spatial scale and the time scale per one hour so that it is impossible to detect the phenomenon of tornadoes,"said Erma.
A machine learning technique for regression and classification problems,which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees.
In a new study, the findings of which feature in the journal PNAS, researchers from McGill University in Montreal, Canada have now shown that we can use music to activate the brain's reward center andmotivate learning in an error prediction model.
The scale of dataavailable allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific," said Anand Avati, a member of Stanford University's AI Lab.
More recently, researchers in the United Kingdom andDenmark developed a statistical outcome prediction model to support decision making in patients with acetaminophen-induced acute liver failure.
The scale of dataavailable allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific," said Anand Avati, a member of Stanford University's AI Lab.