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precision-recall-curve

Here are 30 public repositories matching this topic...

eavise-kul / brambox-build

Build repository for brambox - https://gitlab.com/eavise/brambox

python pr statistics computer-vision images tide cv annotations coco recall object-detection precision precision-recall-curve detections

Updated Apr 2, 2024
Shell

faysal37 / titanic_hosted_by_kaggle

A Comprehensive Guide to Titanic Machine Learning from Disaster

data-transformation cross-validation model-selection imputation recall outlier-detection confusion-matrix feature-engineering hyperparameter-tuning precision learning-curve univariate-distributions classification-report multivariate-analysis f1-score model-training bivariate-analysis feature-importance precision-recall-curve auc-roc-curve

Updated Aug 28, 2018
Jupyter Notebook

calculator3000 / ml-assignment-1

Linear Regression, Logistic Regression, ML Pipeline

linear-regression cross-validation logistic-regression polynomial-regression house-price-prediction precision-recall-curve unbalanced-data ml-pipeline

Updated May 2, 2023
Jupyter Notebook

schatzederwelt / customer-churn-prediction

Предиктивный анализ оттока клиентов

python random-forest pandas classification data-analysis logistic-regression upsampling data-pipelines decision-tree learning-curve classification-report downsampling-data pearson-correlation precision-recall-curve downsampling validation-curve dummy-classifier spearman-correlation relative-frequency-table

Updated Nov 7, 2022
Jupyter Notebook

emrecanduran / Marketing-Campaign-Response-Prediction

Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.

logistic-regression learning-curve imbalanced-data bias-variance precision-recall-curve borderline-smote

Updated May 19, 2024
Jupyter Notebook

Jstacs / PRROC

classification evaluation-metrics receiver-operating-characteristic precision-recall-curve area-under-curve weighted-dataset

Updated Mar 2, 2019
R

evaluation_metrics

OMahmoodi / evaluation_metrics

This notebook describes how to compute and derive insights from various classification evaluation metrics.

machine-learning recall confusion-matrix precision evaluation-metrics classification-algorithm receiver-operating-characteristic precision-recall-curve

Updated Apr 5, 2022
Jupyter Notebook

sheetalkalburgi / optimising-for-precision

machine-learning topic-modeling optimization-methods keyword-extraction nlp-machine-learning precision-recall-curve nltk-python semisupervised-learning bert-embeddings elmo-embedding use-embedding

Updated Mar 26, 2021
Jupyter Notebook

Tracari / Credit_Risk_Analysis

Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk

python machine-learning python-library machine-learning-algorithms scikitlearn-machine-learning precision-recall-curve precision-recall imbalance-learning balanced-random-forest balanced-accuracy-scores

Updated Jan 4, 2023
Jupyter Notebook

tpurcell0122github / INNHotels

A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.

visualization logistic-regression pruning confusion-matrix decision-trees multicollinearity precision-recall-curve featureimportances cost-complexity-pruning roc-auc-curve roc-auc-score

Updated Nov 2, 2022

adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study

The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.

random-forest mlp roc-curve precision-recall-curve

Updated Dec 23, 2023
Jupyter Notebook

devinaa1604 / Classification

This repository is for me to experiment with various Classification Models using Python.

random-forest logistic-regression support-vector-machine confusion-matrix decision-trees evaluation-metrics oversampling undersampling precision-recall-curve

Updated Mar 28, 2021
Jupyter Notebook

AkashSDas / predict-hr-stay-or-leave

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

eda kaggle classification roc-curve smote kaggle-dataset random-forest-classifier precision-recall-curve recursive-feature-elimination unbalanced-data feature-elimination smote-sampling

Updated Apr 2, 2021
Jupyter Notebook

Ansu-John / Credit-Card-Fraud-Detection

Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .

tensorflow keras decision-tree-classifier svm-classifier fraud-detection f1-score knearest-neighbor-classifier roc-auc precision-recall-curve logistic-regression-classfiers

Updated Nov 23, 2020
Jupyter Notebook

fethi-ourghi / face-detection-evaluation

Evaluation of different face detection algorithms existing in the literature using different benchmarks

deep-learning cnn face-recognition face-detection convolutional-neural-networks fddb precision-recall-curve faceboxes face-datasets dsfd pr-curve tinaface yoloface wider-face pascalface

Updated Mar 14, 2023
Jupyter Notebook

guilhermedom / sentiment-analysis-alexa-reviews

Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.

alexa natural-language-processing sentiment-analysis neural-network tensorflow nltk product-reviews imbalanced-data roc-auc precision-recall-curve

Updated Nov 22, 2022
Jupyter Notebook

RudraChatterjee / Hotel-Cancellation_Prediction_Classification

A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group

machine-learning exploratory-data-analysis data-visualization supervised-learning classification recall logistic-regression pruning decision-trees precision f1-score precision-recall-curve auc-roc-curve cost-complexity-pruning

Updated Mar 20, 2023
Jupyter Notebook

DavidRFerreira / InformationRetrieval_EvaluationMetrics

Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.

python search-engine information-retrieval script metrics recall precision evaluation-metrics precision-recall-curve

Updated Feb 11, 2022
Python

jadhavsujit4 / LuceneIndexing

Search engine that queries for information to find the best results based on custom analysers and indexing techniques.

search search-engine analyzer recall lucene searching-algorithms precision custom-analyzer trec-eval precision-recall-curve map-score

Updated Sep 1, 2022
C

rohith28 / Classification

Training binary classifier and multi-class classifier to classify the MNIST datase

random-forest classification multiclass-classification precision-recall-curve sgd-classifier

Updated Jul 13, 2018
Jupyter Notebook

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