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Combining regularization and logistic regression model to validate the Q-matrix for CDM

Sun, April 14, 1:15 to 2:45pm, Convention Center, Floor: First, 121C

Abstract

In this study, we combine the L1 regularization and multiple logistic regression (MLR) model to validate the Q-matrix. Results show that the regularized MLR method: (a) produces better Q-matrix recovery rate, true positive rate, and true negative rate than either the MLR-B or the Hull method for most conditions.

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