| Set Expansion | The second method uses a standard machine learning algorithm, logistic regression . |
| Set Expansion | Thus, logistic regression using Moby and no active learning is L(M,—). |
| Set Expansion | For logistic regression , we set the regularization penalty 02 to 1, based on qualitative analysis during development (before seeing the test data). |
| Analysis and discussion | The fitted logistic regression model (black line) has a statistically significant coefficient for response entropy (p < 0.001). |
| Analysis and discussion | Figure 5 plots the relationship between the response entropy and the accuracy of our decision procedure, along with a fitted logistic regression model using response entropy to predict whether our system’s inference was correct. |
| Methods | A logistic regression model can capture these facts. |
| Methods | tract ages from the positive and negative snippets obtained, and we fit a logistic regression to these data. |
| Methods | The logistic regression thus has only one factor — the unit of measure (age in the case of little kids). |