An In-Memory Architecture for Machine Learning Classifier Using Logistic Regression.
Prasanna Kumar SaragadaMeghnath RathodBishnu Prasad DasPublished in: iSES (2019)
Keyphrases
- logistic regression
- decision trees
- machine learning
- fold cross validation
- support vector
- bayesian classifiers
- linear support vector machines
- naive bayes
- multilabel classification
- feature selection
- linear svm
- chi square
- credit scoring
- breast cancer
- logistic regression models
- machine learning algorithms
- support vector machine
- random forests
- loss function
- learning algorithm
- training set
- training data
- natural language processing
- classification trees
- odds ratio
- logistic model
- data mining
- random forest
- machine learning methods
- data sets
- feature ranking
- svm classifier
- text mining
- chi square test
- naive bayes models
- bayesian classifier
- supervised classification
- semi supervised learning
- feature space