Predictive Management using Machine Learning
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Updated
Mar 16, 2023 - R
Predictive Management using Machine Learning
Content analysis automatization in engagement psychological surveys
This code is a part of my doctoral research at PPG-CC/DC/UFSCar. HPML-J is the name of the first experiment carried out: Hybrid Partitions for Multi-Label Classification with index Jaccard.
A code to execute and save cross-validation in multilabel classification
Generates hybrid partitions using community detection methods.
Compute similarities measures (categorical data) for all labels in label space for a multilabel dataset
This code executes the CLUS algorithm in an R script.
This code is part of my doctoral research. The aim choose the best partition generated.
This code is part of my doctoral research. The aim choose the best partition generated.
This code generate partitions for a multilabel dataset using the Rogers-Tanimoto similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Macro-F1 criteria using Clus framework.
This code shows how to compute the measures of multi-label classification hand in hand.
This code is part of my doctoral research. The aim is to generate partitions using Rogers-Tanimoto similarity measure.
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
This code is part of my doctoral research. It's oracle experimentation of Bell Partitions using the CLUS framework.
This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.
This code generates partitions based on bell numbers for multilabel classification.
Machine Learning in R
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