simple script for plotting precision recall curves
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Updated
Oct 29, 2017 - Python
#
roc-auc
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This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
python
machine-learning
rbf-kernel
naive-bayes
pattern-classification
cross-validation
python3
naive-bayes-classifier
supervised-learning
pattern-recognition
roc-curve
knn
naive-bayes-algorithm
svm-classifier
k-nearest-neighbours
k-fold
roc-auc
best-value-for-k-in-knn
10-fold-cross-validation
polynomial-kernel
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Updated
Nov 22, 2017 - Python
A visual analytics environment for supervised text classification and model evaluation.
visualization
text-mining
text-classification
decomposition
confusion-matrix
preprocessing
visual-analytics
precision-recall-chart
roc-auc
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Updated
Nov 30, 2017 - Python
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
python
random-forest
pandas-dataframe
histogram
cross-validation
data-visualization
naive-bayes-classifier
dimensionality-reduction
logistic-regression
matplotlib
missing-data
data-preprocessing
class-imbalance
svm-classifier
multilayer-perceptron
categorical-data
roc-auc
knn-classifier
bank-marketing-analysis
sklearn-library
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Updated
Jun 5, 2018 - Python
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
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Updated
Jan 8, 2019 - Python
This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.
machine-learning
random-forest
text
scikit-learn
economics
networkx
naive-bayes-classifier
ensemble-learning
logistic-regression
patents
uspto
decision-tree
link-prediction
stochastic-gradient-descent
linkprediction
k-nearest-neighbors
roc-auc
poisson-regression
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Updated
Jul 11, 2022 - Python
Machine learning utility functions and classes.
machine-learning
pipeline
pca
confusion-matrix
roc-curve
residuals
elbow-method
elbow-plot
roc-auc
precision-recall-curve
precision-recall
adjusted-r-squared
pr-curve
scree-plot
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Updated
Jan 14, 2023 - Python
EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
deep-learning
pytorch
convolutional-neural-networks
transfer-learning
roc-auc
fundus-image-analysis
deep-learning-for-computer-vision
k-fold-cross-validation
pytorch-for-medical-images
getting-started-with-pytorch
deep-learning-example
pytorch-google-colab
fast-pytorch-training
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Updated
Dec 6, 2023 - Python
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