Examples of using Predictive model in English and their translations into Vietnamese
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The input to Neural Designer is a data set,and the output from it is a predictive model.
The team built a predictive model based on more than 30 variables and identified ten key factors that pushed customers away.
And this is why, despite all of our desire, we cannot create a predictive model of the markets.
Amplified asking using a predictive model to combine survey data from a few people with a big data source from many people.
The point I'm making is that, with the current dataset,it's hard to imagine a truly predictive model without some change.
The current research has proposed the following predictive model theory, Luong method,∆Tmax and fatigue life Nf are as follows.
A predictive model in banking industry is widely developed to bring certainty across the risk scores for individual customers.
This step is very important because the quality and quantity of data that you gatherwill directly determine how good your predictive model can be.
Northeastern University, for example, is using a predictive model to determine which applicants are most likely to be the best fit for the school if admitted.
Using sensor data and AI-driven analytics,JTC can now identify and rectify faults before breakdowns occur through a predictive model, resulting in a 15 percent drop in energy cost avoidance.
Because no predictive model is 100 percent perfect, what riders pay and drivers earn on a trip may differ slightly from time to time.”.
The same question might be asked today,when“rational-choice theory” is still a predictive model for economists and sociologists and many others.
That predictive model is then used on current data to predict what will happen next, or to suggest actions to take for optimal outcomes.
For example, a researcher with a millionhuman classified galaxies can build a predictive model that can then be used to classify a billion or even a trillion galaxies.
This predictive model is applied to current data to predict what events are expected to occur next or to suggest activities to achieve optimal results.
The competition taskwas to build a network intrusion detector, a predictive model capable of distinguishing between“bad” connections, called intrusions or attacks, and“good” normal connections.
Using a predictive model which crunched hundreds of data points and working in collaboration with former Premier League referee Peter Walton, a research team analysed footage from every game of the season to see which major incidents should have been overturned.
Whereas a software engineer or computer scientist might be wanting to build theirlinear regression algorithm into production-level code, and the predictive model is what is known as a black box algorithm, they don't generally focus on the interpretation of the parameters.
Using a predictive model of molecules and their properties, the team has developed a charge-storing molecule around 1,000 times more stable than current compounds.
Lift is a measure of the effectiveness of a predictive model calculated as the ratio between the results obtained with and without the predictive model.
Once the predictive model has been computed, DFSS studies can also be used to provide stronger probabilistic estimations of predictive model rank in a real world scenario.
Glaeser and colleagues estimate that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50%.
The Human Emulation System is designed to provide a predictive model of human response to diseases, medicines, chemicals, and foods by recreating the natural physiology of specific human tissues and organs- with greater precision and detail than other preclinical testing methods, according to the company.
With this, we would then ask the system to produce a predictive model for future encounters with tumors to generate odds in advance as to which it is based on the data analyzed.
Using complex data, the team developed a predictive model that identified which primate species should be targeted for Zika virus surveillance and management.
EDX first learns about the data and then evolves a predictive model, starting with random weights and perfecting it until predictions become highly accurate.
In order to evaluate the performance of his predictive model, Blumenstock used cross-validation, a technique commonly used in data science but rarely in social science.
This was significantly more accurate than the traditional predictive model, the augmented Early Warning Score, which uses a number of factors to help physicians determine how ill a patient is.
The intrusion detector learning task is to build a predictive model(i.e. a classifier) capable of distinguishing between"bad" connections, called intrusions or attacks, and"good" normal connections.
And we will actuallytry to get to the point where we have a predictive model where we can understand, when cancer happens, what's actually happening in there and which treatment will treat that cancer.