In confusion matrix, which metric corresponds to the ratio of correct positive predictions to the total positive predictions? accuracy precision recall classification QUESTION 2 In confusion matrix, which metric corresponds to the ratio of correct positive predictions to the total positive examples in the dataset? accuracy precision recall classification QUESTION 3 Which partition model creates one tree where attributes are available at each node for selecting the optimal one with regards to the chosen criterion? logistic regression boosted tree random forest decision tree QUESTION 4 Which partition model uses an ensemble of random trees to reduce variance and overfitting? logistic regression boosted tree random forest decision tree QUESTION 5 Which partition model iteratively improves a single tree model by reweighting the examples based on their previous prediction and creating a weighted sum of all created models? Iogistic regression boosted tree random forest decision tree In confusion matrix, which metric corresponds to the ratio of correct positive predictions to the total positive predictions? accuracy precision recall classification QUESTION 2 In confusion matrix, which metric corresponds to the ratio of correct positive predictions to the total positive examples in the dataset? accuracy precision recall classification QUESTION 3 Which partition model creates one tree where attributes are available at each node for selecting the optimal one with regards to the chosen criterion? logistic regression boosted tree random forest decision tree QUESTION 4 Which partition model uses an ensemble of random trees to reduce variance and overfitting? logistic regression boosted tree random forest decision tree QUESTION 5 Which partition model iteratively improves a single tree model by reweighting the examples based on their previous prediction and creating a weighted sum of all created models? Iogistic regression boosted tree random forest decision tree