Use random forest, gradient boosting, neural network, with SMOTE-ENN and random over-sampling
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Updated
Feb 9, 2023 - Jupyter Notebook
#
smote-enn
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Customer bookings predictive model
machine-learning
random-forest
naive-bayes
prediction
logistic-regression
feature-importance
gridsearchcv
sgd-classifier
smote-enn
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Updated
Sep 2, 2024 - Jupyter Notebook
Deep learning application for term deposit prediction on imbalanced dataset
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Updated
Sep 22, 2022 - Python
A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.
naive-bayes
credit-card-fraud
logistic-regression
k-means
binary-classification
f1-score
resampling-methods
k-nearest-neighbors
adasyn
random-undersampling
light-gradient-boosting-machine
near-miss
smote-enn
class-imbalance-handling
random-oversampling
balanced-bagging
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Updated
Nov 19, 2024 - Jupyter Notebook
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