 We employ generalized linear regression with L_1 penalty and a Random Forest model to identify the predictors that are influential on women representation, and evaluate the relationship between women representation and a movie's success in three aspects: revenue/budget ratio, rating  and popularity.
<fluency>  We employ generalized linear regression with L_1 penalty and a Random Forest model to identify the predictors that are influential on women representation, and evaluate the relationship between women representation and a movie's success in three aspects: revenue/budget ratio, rating  and popularity.
 We employ generalized linear regression with L_1 penalty and a Random Forest model to identify the predictors that are influential on women representation, and evaluate the relationship between women representation and a movie's success in three aspects: revenue/budget ratio, rating , and popularity.