Post by account_disabled on Dec 13, 2023 4:34:57 GMT -5
For correct communication with the people who create the ML Model for us or the Data Analyst team, it is about the types of errors that are divided into 2 types: Type1 Error (False Positive – FP) and Type2 Error (False Negative – FN), which has The details are as follows. Type 1 Error (False Positive – FP) : Type 1 Error occurs when the ML Model makes a prediction that customers or the target audience for marketing are the target group we want (Positive), but in reality, this group of customers is not the target group. This means that something will go wrong.
When we decide that that group of customers Whatsapp Number List is interested or will respond to the campaign But customers aren't interested. Because we sent the campaign to the wrong group. For example, Sending promotional emails or campaigns to customers that the ML Model predicts that customers will respond to. But did not receive the attention of such customers. This type of result is considered a Type1 Error that causes us to waste time. For correct communication with the people who create the ML Model for us or the Data Analyst team, it is about the types of errors that are divided into 2 types: Type1 Error (False Positive – FP) and Type2 Error (False Negative – FN), which has The details are as follows. Type 1 Error (False Positive – FP) .
Type 1 Error occurs when the ML Model makes a prediction that customers or the target audience for marketing are the target group we want (Positive), but in reality, this group of customers is not the target group. This means that something will go wrong. When we decide that that group of customers is interested or will respond to the campaign But customers aren't interested. Because we sent the campaign to the wrong group. For example, Sending promotional emails or campaigns to customers that the ML Model predicts that customers will respond to. But did not receive the attention of such customers. This type of result is considered a Type1 Error that causes us to waste time.
When we decide that that group of customers Whatsapp Number List is interested or will respond to the campaign But customers aren't interested. Because we sent the campaign to the wrong group. For example, Sending promotional emails or campaigns to customers that the ML Model predicts that customers will respond to. But did not receive the attention of such customers. This type of result is considered a Type1 Error that causes us to waste time. For correct communication with the people who create the ML Model for us or the Data Analyst team, it is about the types of errors that are divided into 2 types: Type1 Error (False Positive – FP) and Type2 Error (False Negative – FN), which has The details are as follows. Type 1 Error (False Positive – FP) .
Type 1 Error occurs when the ML Model makes a prediction that customers or the target audience for marketing are the target group we want (Positive), but in reality, this group of customers is not the target group. This means that something will go wrong. When we decide that that group of customers is interested or will respond to the campaign But customers aren't interested. Because we sent the campaign to the wrong group. For example, Sending promotional emails or campaigns to customers that the ML Model predicts that customers will respond to. But did not receive the attention of such customers. This type of result is considered a Type1 Error that causes us to waste time.