For the study, doctors randomly split 891 women - all with breast tumors 2 inches or less in diameter that had spread to their lymph nodes - into two groups.
Similarly, a standard statistical approach to adjust for overfitting is to randomly split the data into a training and test samples.
The thirty semifinalists were randomly split into different groups.
Reward Challenge: The tribe would be randomly split into two teams.
Participants in each home were randomly split into two groups, each with 10 people.
They randomly split the patients into two treatment groups.
The women were randomly split into three groups that took a placebo pill or 15 or 20 milligrams of A3309 once daily for two weeks.
This method randomly splits the dataset into training and validation data.
The participants were randomly split into two groups: one was given a nasal spray containing nicotine and the other a placebo spray.
Elimination Challenge: The contestants were randomly split into three teams:
