# How do you calculate support in association rule?

## How do you calculate support in association rule?

Support = (X+Y) total – It is interpreted as fraction of transactions that contain both X and Y.

## How do you calculate lift ratio?

Lift can be found by dividing the confidence by the unconditional probability of the consequent, or by dividing the support by the probability of the antecedent times the probability of the consequent, so: The lift for Rule 1 is (3/4)/(4/7) = (3*7)/(4 * 4) = 21/16 ≈ 1.31.

How do you calculate lift to confidence ratio?

To calculate the lift ratio, we divide the confidence ratio by support of consequent. That would be 75%/60% = 1.25. It is generally considered that lift ratios higher than 1 indicate strong association between items.

### What is support in association rule?

Association rules are created by searching data for frequent if-then patterns and using the criteria support and confidence to identify the most important relationships. Support is an indication of how frequently the items appear in the data.

### How is support count calculated?

The Minimum Support Count would be count of transactions, so it would be 60% of the total number of transactions. If the number of transactions is 5, your minimum support count would be 5*60/100 = 3.

How do you calculate absolute support?

So …

1. the absolute support of A, i.e. the absolute number of transactions which contains A, is 2.
2. the relative support of A, i.e. the relative number of transactions which contains A, is 22=1.

#### What is a good lift ratio?

Lift is nothing but the ratio of Confidence to Expected Confidence. A lift ratio larger than 1.0 implies that the relationship between the antecedent and the consequent is more significant than would be expected if the two sets were independent. The larger the lift ratio, the more significant the association.

#### What does lift below 1 mean?

A lift smaller than 1 indicates that the rule body and the rule head appear less often together than expected, this means that the occurrence of the rule body has a negative effect on the occurrence of the rule head.

What is lift support and confidence?

The lift value of an association rule is the ratio of the confidence of the rule and the expected confidence of the rule. The expected confidence of a rule is defined as the product of the support values of the rule body and the rule head divided by the support of the rule body.

## What do you mean by support a )? *?

1) Correct answer is option(a): Number of transactions containing A/ total number of transactions. Support in data mining means how frequently an item appears in a data. Support(A) = Number of transact… Transcribed image text: What do you mean by support(A)? Select one: O a.

## What is antecedent support?

In association analysis, the antecedent and consequent are sets of items (called itemsets) that are disjoint (do not have any items in common). The first number is called the support for the rule. The support is simply the number of transactions that include all items in the antecedent and consequent parts of the rule.

What is the minimum support count?

Minimum support count is the % of the all transaction. suppose you have 60% support count and 5 is the total transaction then in number the min_support will be 5*60/100=3.

### What is the cross ratio of each point on a line?

Points A, B, C, D and A ′, B ′, C ′, D ′ are related by a projective transformation so their cross ratios, (A, B; C, D) and (A′, B′; C′, D′) are equal. In geometry, the cross-ratio, also called the double ratio and anharmonic ratio, is a number associated with a list of four collinear points, particularly points on a projective line.

### What is support ratio in statistics?

Support ratio is the frequency of the antecedent and/or consequent appearing together in the dataset. Support can be expressed as P (antecedent & consequent). In our example in the previous section, the support ratio would be equal 3/5 = 60%.

What is the origin of the term cross-ratio?

The cross-ratio had been defined in deep antiquity, possibly already by Euclid, and was considered by Pappus, who noted its key invariance property. It was extensively studied in the 19th century.

#### What is the compression ratio for a single rescuer?

For a single rescuer performing CPR on an adult, child, infant, or neonate, the compression ratio is 30/2. The changes are minuscule but require quick reaction.