roc-plot

There are 0 repository under roc-plot topic.

pajaskowiak / clusterConfusion
Clustering validation with ROC Curves
clustering clustering-algorithm clustering-analysis clustering-evaluation roc-analysis roc-auc roc-auc-curve roc-plot auc-score clustering-validation hierarchical-clustering k-means k-means-clustering roc-auc-score roc-curve roc-curves
Language:R 5
11808s8 / python-neural-network
A simple neural network with backpropagation used to recognize ASCII coded characters
python python3 ascii neural-network rede-neural redes-neurais-artificiais artificial-neural-networks backpropagation backpropagation-learning-algorithm backpropagation-neural-network sigmoid-function sigmoid-activation matplotlib matplotlib-figures roc-curve roc-plot neural-net
Language:Python 4
ilyajob05 / ROC_calculation
calculate ROC curve and find threshold for given accuracy
python roc-curve classification-algorithm roc-auc roc-evaluation roc-plot classifier classification auc auc-roc-curve
Language:Python 4
i2a-k / Machine-Learning-and-Pattern-Recognition
Implementation of some classification and clustering methods
machine-learning pattern-recognition classification knn k-nearest-neighbors bayesian-decision-theory conditional-risk minimum-mean-distance support-vector-machines svm roc-plot pca principal-component-analysis clustering hirarchical-clustering k-means k-fold-cross-validation iris-dataset breast-cancer-dataset
Language:Jupyter Notebook 1
Twitter-Sentiment-Analysis
Nikoletos-K / Twitter-Sentiment-Analysis
😈😇🗨️ Developed multiple sentiment classifiers, experimenting with the models (logistic regression, Neural nets - RNN,LSTM,GRU) and the embedding for the Twitter dataset
classification glove gru jupyter-notebook logistic-regression lstm machine-learning pytorch roc-plot tfidf twitter-sentiment-analysis
Language:Jupyter Notebook 1
sarodeswapnil / Machine-Learning-Algos
linear-regression naive-bayes-classifier decision-tree gradient-descent boston-housing-dataset root-mean-squared-error-metric roc-plot sqlite database
Language:Python 0
macisluca / TaiwanCreditDefault2006
The aim of this paper is the analysis of which are the characteristics of an individual that most accurately predict the capability of being a solvable creditor. We used three different classification techniques, namely: logistic regression, k-nearest neighbors and support vector machines. This dataset was taken from a Taiwanese bank facing the credit card crisis of 2006 (http://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients)
data-science machine-learning taiwan-credit-default logistic-regression svm knn roc-plot
Myrto-Iglezou / Article-wordcloud-classification-clustering
Classification and clustering in dataset of news articles.
articles bow classification clustering ica independent-component-analysis k-means-clustering k-nearest-neighbors naive-bayes pca pre-trained-embeddings principal-component-analysis random-forest roc-plot singular-value-decomposition svd svm word2vec wordcloud
Language:Jupyter Notebook