Question

Given the Spam data set for classifying an e-mail is either spam (label 1) or not (label 0) the last number in the row. The dataset example can be seen in the attachment. Compare three ML algorithms: logistic regression, decision tree, and random forest for this binary classification problem. Find the best model for each ML algorithm. Compute precision, recall, and F1 scores based on ALL data points. Identify the best ML algorithm based on the statistics computed. Use the 5-fold (70/30) cross-validation method to find the best model for each ML algorithm using the default ROC criterion. Compare these three ML algorithms and pick the best overall model. Discuss how you reach this conclusion.

Name: given the spam data set for classifying an e mail is either spam label 1 or not label 0 the last number in the row the dataset example can be seen in the attachment compare three ml algorith 88522
Uploaded: 2024-06-30T18:00:36-08:00
Duration: 1 min 37 s
Channel: Lien Le
Description: given the spam data set for classifying an e mail is either spam label 1 or not label 0 the last number in the row the dataset example can be seen in the attachment compare three ml algorith 88522

          Given the Spam data set for classifying an e-mail is either spam (label 1) or not (label 0) the last number in the row. The dataset example can be seen in the attachment. Compare three ML algorithms: logistic regression, decision tree, and random forest for this binary classification problem. 
Find the best model for each ML algorithm. Compute precision, recall, and F1 scores based on ALL data points.  Identify the best ML algorithm based on the statistics computed.
Use the 5-fold (70/30) cross-validation method to find the best model for each ML algorithm using the default ROC criterion. Compare these three ML algorithms and pick the best overall model. Discuss how you reach this conclusion.

given the spam data set for classifying an e mail is either spam label 1 or not label 0 the last number in the row the dataset example can be seen in the attachment compare three ml algorith 88522

Added by Vicenta A.

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