Decision Tree (DF) for classification selects a feature and threshold to split feature space in each node that minimize impurity measures. Please select the two impurity measures of DT for classification:_____________ 

Q27. Bonus Question (5 points) The above figure is for the gradient boosting algorithm for regression. Step 1. A new decision tree (DT) is trained with feature X and label r (i.e., residual) to predict the residual. Step 2. The predicted residual in Step 1 is multiplied by the learning rate and is added to the prior predicted The learning rate is between 0 and 1 for slow learning to avoid overfitting. Step 3. The residual is updated by subtracting the new DT in Step 1 multiplied by the learning rate. Step 4. The final predicted Y in the gradient boosting is the additive function of DTs multiplied by the learning       rate in each stage. Overall, gradient boosting is a (1) _____________ (a. parallel learning, b. sequential learning; 2 points). In addition, a new decision tree in each stage is created based on the information from the prior trees to improve performance. Based on the algorithm, which one is not a hyperparameter for gradient boosting? (2)_________ (3 points) the number of trees the maximum depth of each tree learning rate dropout rate the number of splits in each tree

Which one is not true about the random forest (RF) model?

Which one is not true about the boosting model?

We use a linear regression for inference when a dependent variable is a (1)___________ (a. continuous variable, b. discrete variable; 1 point). We use a binary logit model when a dependent variable is a (2)___________ (a. continuous variable, b. discrete variable; 1 point). Both linear regression and logit models for inference are based on (3)___________ (a. in-sample prediction, b. out-of-sample prediction; 2 points).

After a traffic accident, various professionals step in to restore order, provide medical care, and pursue legal action. Only use each word once. Two of them do not belong in the text.   periodistas / diseñador / jueza / fiscal fisioterapeuta / psicólogo / enfermera / médico policía / cirujano / ingenieros / abogado   La actuó para restituir el tráfico después de un accidente. En el hospital, el diagnosticó rápidamente a la víctima. Llamó al para programar una cirugía urgente. La administró la medicina prescrita por el farmacéutico. ¡Todo fue bien! Después, el pudo ayudar al paciente a recuperar la movilidad de sus piernas y brazos. En paralelo, el dio apoyo con el trauma emocional. Por otro lado, el presentó pruebas contundentes contra (against) el responsable del accidente, pero el defensor intentó demostrar su inocencia. La escuchó atentamente los argumentos de las dos partes antes de tomar una decisión. Afuera, un grupo de tomó notas y preparó sus artículos.

A patient returns to the outpatient allergy clinic for a follow up appointment concerning a recent asthma diagnosis. The patient’s ABG results on room air are as follows: pH 7.38, PaC02 44, HC03 23, Pa02 126 mm Hg. What action should the RT take next? 

Interpret the following ABG: pH 7.57, PaC02 23 mm Hg, HC03 22 mEq/L. 

Interpret the following ABG results: pH 7.22, PaC02 20 mm Hg, HC03 8 mEq/L and base excess -16 mEq/L. 

A 38-year-old man had severe diarrhea for weeks without receiving medical attention. ABG analysis showed a pH 7.37, PaC02 23 mm Hg, HC03 13 mEq/L and BE -11 mEq/L. How would the RT interpret these results?