Data Mining with Python: Implementing Classification and RegressionSalmadhu Polamuri
The Logistic Regression classification algorithm computes binary predictions. For example, you might want to know whether fraud is likely to occur. The values for this prediction might be Yes or No.
This paper describes about the performance analysis of different data mining classifiers before and after feature selection on binomial data set. Three data mining classifiers Logistic Regression, SVM and Neural Network classifiers are considered in this paper for classification. The Congressional Voting ...
A collection of Ant Colony Optimization (ACO) algorithms for the data mining classification and regression tasks - febo/myra
[1] Lou, Yin, Rich Caruana, and Johannes Gehrke. "Intelligible Models for Classification and Regression."Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’12).Beijing, China: ACM Press, 2012, pp. 150–158. ...
In addition to validation of model performance based on the training data, predictions can be made to either features or a prediction raster. Learn more about how Forest-based and Boosted Classification and Regression works Illustration Usage This tool supports two model types: forest-based and ...
or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; methods for the extraction of knowledge from data, and applications of advanced methods in specific domains of pr...
Data reduction processes are designed not only to reduce the amount of data, but also to reduce noise interference. In this study, we focus on researching sample reduction algorithms for the classification and regression data. A sample quality evaluation measure denoted by NN-kNN, which is inspire...
The Forest-based and Boosted Classification and Regression tool trains a model based on known values provided as part of a training dataset. The model can then be used to predict unknown values in a dataset that has the same explanatory variables. The tool creates models and generates predictions...
🍊 📊 💡 Orange: Interactive data analysis visualization python data-science machine-learning data-mining random-forest clustering numpy scikit-learn regression pandas data-visualization classification scipy orange plotting decision-trees visual-programming orange3 Updated May 16, 2025 Python charles...