Analyzing distributed Spark MLlib regression algorithms for accuracy, execution efficiency and scalability using best subset selection approach.
Piyush SewalHari SinghPublished in: Multim. Tools Appl. (2024)
Keyphrases
- subset selection
- computational efficiency
- computational complexity
- computational cost
- computational demands
- data reduction
- high scalability
- prediction accuracy
- cooperative
- special case
- high accuracy
- distributed systems
- hill climbing
- computationally efficient
- machine learning algorithms
- regression algorithm
- neural network
- significant improvement
- multi agent
- highly efficient
- high efficiency
- peer to peer
- map reduce
- computational speed
- least squares
- data structure
- scalable distributed