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fbeta-score

Here are 5 public repositories matching this topic...

ManarAlharbi / DSND-Term1-Finding_Donors

Build an algorithm to best identify potential donors of CharityML

python machine-learning-algorithms jupyter-notebook prediction feature-selection feature-extraction supervised-learning accuracy confusion-matrix census decision-tree-classifier feature-importance random-forest-classifier gridsearchcv finding-donors charityml udacity-data-science-nanodegree logistic-regression-classifier fbeta-score

Updated Sep 18, 2019
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Finding-Donors-for-Charity-using-Machine-Learning

sushantdhumak / Finding-Donors-for-Charity-using-Machine-Learning

Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause

feature-selection supervised-learning accuracy confusion-matrix data-preprocessing data-normalization tuning-parameters gradient-boosting f1-score feature-importance gridsearchcv finding-donors naive-predictor skewed-data min-max-scaler fbeta-score

Updated Oct 19, 2019
Jupyter Notebook

mbshbn / Supervised-Learning-for-imbalanced-data

Classify people to predict their income class, either above 50K or below 50K based on their age, work class, education level, ... using ScikitLearn

scikit-learn supervised-learning binary-classification imbalanced-data gridsearchcv fbeta-score feature-relevance

Updated Jan 10, 2021
Jupyter Notebook

GaetanPelletier / nba_players

Classification of NBA players, in order to maximize accuracy. To achieve this, I choose a decision threshold that maximizes the F 0.5 score.

python sklearn api-rest confusion-matrix skopt fbeta-score

Updated Sep 23, 2021
Jupyter Notebook

AnneQuinkenstein / AccidentsInBerlin

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

machine-learning random-forest pca auc baseline logistic-regression regularization weights data-cleaning bayesian-optimization hyperparameter-tuning knn-classification unbalanced-data bias-variance-tradeoff fbeta-score stratified-cross-validation corelation-of-features

Updated Nov 7, 2024
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