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GitHub topics: roc-plot

pajaskowiak/clusterConfusion

Clustering validation with ROC Curves

Language: R - Size: 1.2 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

11808s8/python-neural-network

A simple neural network with backpropagation used to recognize ASCII coded characters

Language: Python - Size: 6.12 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

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

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 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)

Size: 3.74 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

i2a-k/Machine-Learning-and-Pattern-Recognition

Implementation of some classification and clustering methods

Language: Jupyter Notebook - Size: 225 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Myrto-Iglezou/Article-wordcloud-classification-clustering

Classification and clustering in dataset of news articles.

Language: Jupyter Notebook - Size: 51.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ilyajob05/ROC_calculation

calculate ROC curve and find threshold for given accuracy

Language: Python - Size: 45.9 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1