Contents
When to use data to make a prediction?
When data shows a pattern or trend, we can use the data to make predictions. The predictions may be about some future event, an estimate of what happened in the past, or even a statement about where things are currently. We often use trendlines to describe a trend or correlation in data.
How to use stateholiday to predict sales?
So for StateHoliday which can have the values 0, a, b or c it will replace StateHoliday with StateHoliday_0, StateHoliday_a, StateHoliday_b and StateHoliday_c. And for a row who’s StateHoliday was b it would set StateHoliday_b = 1 and the other StateHoliday_ features = 0.
How to rename predict sales to predict sales?
Rename it to “Predict_Sales” by clicking on “Untitled” at the top. First we need to import some libraries. Put the following code in the first cell and run the cell afterwards so the modules are subsequently available. In a new cell load the training dataset.
When to use scatter plot to make predictions?
Looking at the scatter plot helps us see if a pattern or trend exists that can be described using a function. When data shows a pattern or trend, we can use the data to make predictions. The predictions may be about some future event, an estimate of what happened in the past, or even a statement about where things are currently.
How is rule based classification used in data mining?
Rule-based classifier makes use of a set of IF-THEN rules for classification. The IF part of the rule is called rule antecedent or precondition. The THEN part of the rule is called rule consequent. The antecedent part the condition consist of one or more attribute tests and these tests are logically ANDed.
How are IF-THEN rules used in rule based classification?
IF-THEN Rules. Rule-based classifier makes use of a set of IF-THEN rules for classification. The IF part of the rule is called rule antecedent or precondition. The THEN part of the rule is called rule consequent. The antecedent part the condition consist of one or more attribute tests and these tests are logically ANDed.
How to form a rule antecedent in data mining?
To form a rule antecedent, each splitting criterion is logically ANDed. The leaf node holds the class prediction, forming the rule consequent. Sequential Covering Algorithm can be used to extract IF-THEN rules form the training data.