cohen-kappa

There are 0 repository under cohen-kappa topic.

AyushGupta51379 / COMP_5331_Project_Fake_News_Detection
- Image classification using Deep learning. - Utilizing both frequency and pixel domain information of images. - Implemented MVNN model from a research paper published in 2019 IEEE ICDM. Achieved comparable accuracy to the original model. - Compared with several deep learning models: Pre-trained (VGG-16, VGG-19) and our own implementations of CNN based models (with different number of layers) - Research project utilized as a part of a course: COMP 5331 - Knowledge Discovery in Databases, from HKUST (The Hong Kong University of Science and Technology). - Referenced paper (for MVNN model) - P. Qi, J. Cao, T. Yang, J. Guo, and J. Li. Exploiting multi-domain visual information for fake news detection. In 2019 IEEE International Conference on Data Mining (ICDM), pages 518–527, 2019.
cnn cohen-kappa deep-learning fake-news image-classification
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Ayantika22 / Linear-discriminant-Analysis-LDA-for-Wine-Dataset
Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning
jupyter-notebook python-3 wine-dataset accuracy cohen-kappa linear-discriminant-analysis unsupervised-learning machine-learning classifier classification logistic-regression knn-classification k-nearest-neighbours support-vector-machine gaussian-naive-bayes decision-tree random-forest-classifier
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Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
principle-component-analysis seed-dataset jupyter-notebook python-3 unsupervised-learning machine-learning classifier classification accuracy cohen-kappa logistic-regression knn-classifier k-nearest-neighbor-classifier dimensionality-reduction-technique support-vector-machines gaussian-naive-bayes decision-tree-classifier random-forest-classifier
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Ayantika22 / LDA-Linear-Discriminant-Analysis-for-Seed-Dataset
LDA(Linear Discriminant Analysis) for Seed Dataset
linear-discriminant-analysis-lda jupyter-notebooks python-3 seed-dataset unsupervised-learning machine-learning dimensionality-reduction-technique accuracy cohen-kappa logistic-regression-classifier k-nearest-neighbors support-vector-machine knn-classifier classifier classification gaussian-naive-bayes decision-tree-classifier random-forest-classifier
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Ayantika22 / Kmeans-and-Hierarchical-clustering-for-Seed-dataset
Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning
jupyter-notebook python-3 seed-dataset kmeans-clustering hierarchical-clustering knn-classifier classifier classification unsupervised-learning machine-learning logistic-regression k-nearest-neighbors support-vector-machine gaussian-naive-bayes decision-tree-classifier random-forest-classifier accuracy cohen-kappa
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Ayantika22 / LDA-Linear-discriminant-Analysis-for-Wine-Dataset
LDA(Linear discriminant Analysis) for Wine Dataset in machine learning
linear-discriminant-analysis jupyter-notebook python-3 accuracy cohen-kappa unsupervised-clustering machine-learning classifier classification k-nearest-neighbours knn-classifier gaussian-naive-bayes logistic-regression-classifier support-vector-machine random-forest-classifier decision-tree-classifier wine-dataset
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Ayantika22 / PCA-Iris-Clustering-Visualization
Principle Component Analysis Clustering Visualization for Iris dataset
python3 jupyter-notebook anaconda3 pca principle-component-analysis iris-dataset cohen-kappa knn-classification knn-classifier classification classifier support-vector-machines logistic-regression gaussian-naive-bayes decision-tree-classifier random-forest-classifier iris unsupervised-clustering machine-learning accuracy
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Kmeans-and-Hierarchical-Clustering-Visualization-for-Iris-Dataset
Ayantika22 / Kmeans-and-Hierarchical-Clustering-Visualization-for-Iris-Dataset
Kmeans And Hierarchical Clustering Analysis Program for Clustering Visualization using Iris Dataset
accuracy classification classifiers clustering-algorithm cohen-kappa decision-tree-classifier gaussian-naive-bayes hierarchical-clustering iris-dataset jupyter-notebook k-nearest-neighbors kmeans-clustering logistic-regression python-3 random-forest-classifier support-vector-machine unsupervised
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MrRaghav / dcu_practicum_2019-20
Natural Language Processing (classification and machine translation) codes and analysis done for the year long practicum in Dublin City University (2019-20)
natural-language-processing machine-translation tf-idf word2vec glove-embeddings text-classification logistic-regression svm-classifier random-forest bi-lstm cnn f1-score sockeye min-cut-algorithm random-walk fasttext-embeddings fasttext dice-coefficient bleu-score cohen-kappa
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Gail529 / AES
Using Neural Nets to grade academic essays
word2vec lstm-model cohen-kappa
Language:Jupyter Notebook 0
alaaelkhashap / Text-Clustering
Text-Clustering
bag-of-words clustering cohen-kappa em evaluation feature-engineering feature-extraction k-means-clustering lda machine-learning modeling nlp silhouette text-cluster text-clustering tfidf visualization word2vec
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