By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

R-squared values range from 0 to 1, indicating the fit and explanatory power of a regression model. Values below 0.3 suggest weak explanatory power; above 0.7 indicate strong relationships. In finance ...

Securing a Super Bowl square in a Squares Contest is as popular as grabbing wings, nachos, pizza or sliders ahead of Super Bowl Sunday. Football fans around the country will be eagerly watching the ...

The game show has posted solid ratings numbers in its first two primetime airings. By Rick Porter Television Business Editor CBS is going all out to get its new version of Hollywood Squares in front ...

Forbes contributors publish independent expert analyses and insights. Marc Berman is a New York-based reporter who covers media. HOLLYWOOD SQUARES. Pictured: Triumph, Sam Jay, Whitney Cummings, Andrew ...

CBS is postponing tonight’s originally scheduled premiere of “Hollywood Squares” a week due to the wildfires throughout the Los Angeles area. As a result, the show will now bow on Thursday, Jan. 16 at ...

Drew Barrymore is taking center stage in the upcoming reboot of Hollywood Squares. In Us Weekly’s exclusive first look, Barrymore, 49, is pictured inside the famed center square on the set of the game ...

CBS' Hollywood Squares reboot has unveiled its all-star lineup. As previously reported, CBS Mornings co-anchor Nate Burleson will tackle hosting duties, while talk show host Drew Barrymore will take ...

EXCLUSIVE: Vincent Rubino, executive producer/showrunner of the upcoming Hollywood Squares revival on CBS, has been let go from the show for allegedly making a racially insensitive comment to BIPOC ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...