lift-ratio

There are 7 repositories under lift-ratio topic.

  • 574567254/Car_brand_text_analysis

    Aims to analyze real-word trade-in values of car brands.

    Language:Jupyter Notebook2100
  • Abhik35/Assignment-Association-Rules-Books

    Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

    Language:Jupyter Notebook2100
  • Abhik35/Assignment-Association-Rules-my_movies

    Apriori Algorithm Association rules with 10% Support and 70% confidence Association rules with 5% Support and 90% confidence Lift Ratio > 1 is a good influential rule in selecting the associated transactions visualization of obtained rule

    Language:Jupyter Notebook1100
  • Prem-98/Association-rules

    association rules -assignment

    Language:Jupyter Notebook1100
  • vaitybharati/Assignment-09-Association-Rules-Data-Mining-Books-

    Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

    Language:Jupyter Notebook1101
  • vaitybharati/Assignment-09-Association-Rules-Data-Mining-my_movies-

    Assignment-09-Association-Rules-Data-Mining-my_movies. Apriori Algorithm. Association rules with 10% Support and 70% confidence. Association rules with 5% Support and 90% confidence. Lift Ratio > 1 is a good influential rule in selecting the associated transactions. Visualization of obtained rule.

    Language:Jupyter Notebook110
  • vaitybharati/P32.-Unsupervised-ML---Association-Rules-Data-Mining-Titanic-

    Unsupervised-ML---Association-Rules-Data-Mining-Titanic. Data Preprocessing: As the data is categorical format, we are using One Hot Encoding to convert into numerical format. Apriori Algorithm: frequent item sets & association rules. A leverage value of 0 indicates independence. Range will be [-1 1]. A high conviction value means that the consequent is highly depending on the antecedent and range [0 inf]. Lift Ratio > 1 is a good influential rule in selecting the associated transactions.

    Language:Jupyter Notebook110