roc-plot

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11808s8 / python-neural-network

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

python neural-network ascii python3 artificial-neural-networks matplotlib backpropagation-learning-algorithm roc-curve backpropagation redes-neurais-artificiais matplotlib-figures sigmoid-function neural-net roc-plot rede-neural backpropagation-neural-network sigmoid-activation

Updated Dec 15, 2019
Python

ilyajob05 / ROC_calculation

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calculate ROC curve and find threshold for given accuracy

python classifier classification auc roc-curve classification-algorithm roc-evaluation roc-auc roc-plot auc-roc-curve

Updated Jan 8, 2019
Python

Nikoletos-K / Twitter-Sentiment-Analysis

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😈😇🗨️ Developed multiple sentiment classifiers, experimenting with the models (logistic regression, Neural nets - RNN,LSTM,GRU) and the embedding for the Twitter dataset

machine-learning jupyter-notebook pytorch lstm gru classification logistic-regression glove twitter-sentiment-analysis tfidf roc-plot

Updated Feb 15, 2022
Jupyter Notebook

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

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Implementation of some classification and clustering methods

machine-learning clustering svm pca classification pattern-recognition k-means support-vector-machines knn principal-component-analysis iris-dataset k-nearest-neighbors bayesian-decision-theory roc-plot breast-cancer-dataset k-fold-cross-validation conditional-risk minimum-mean-distance hirarchical-clustering

Updated Aug 2, 2020
Jupyter Notebook

macisluca / TaiwanCreditDefault2006

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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 …

data-science machine-learning svm logistic-regression knn roc-plot taiwan-credit-default