recall-precision

There are 0 repository under recall-precision topic.

Saket-Kr / ML-Prep
A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.
reinforcement-learning-algorithms supervised-machine-learning unsupervised-machine-learning linear-regression logistic-regression-algorithm logistic-regression linear regression gradient-descent bias-variance-trade variance mini-batch bias recall recall-precision learning-algorithms
Language:Jupyter Notebook 6
AmirMotefaker / Analysis-of-Hotel-Customer-Sentiments
Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.
gensim gensim-doc2vec nltk pandas sklearn vader-sentiment-analysis seaborn random-forest random-forest-classifier roc-curve matplotlib pr-curve recall-precision
Language:Jupyter Notebook 1
LuceneCISI
Berozain / LuceneCISI
Information Retrieval with Lucene and CISI dataset. Index documents and search between them with IB, DFR, BM-25, TF-IDF, Boolean, Axiomatic, LM-Dirichlet similarity and calculate Recall, Precision, MAP (Mean Average Precision) and F-Measure
cisi information-retrieval lucene axiomatics bm-25 dfr f-measure mean-average-precision precision recall recall-precision tf-idf lm-dirichlet ib
Language:Java 1
LailaMahmoudi / mnist-classification
MNIST Handwritten Digits Classification
classification binary-classifier predictions machine-learning-algorithms random-forest sgd-classifier data-visualization sklearn-library pandas numpy matplotlib cross-validation recall-precision f1-score split mnist-classification mnist-handwriting-recognition mnist-image-dataset
Language:Jupyter Notebook 1
rakibhhridoy / SupportVectorMachineIn-Medical
Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.
svm support-vector-machines machine-learning medical diabetes-prediction precision-medicine recall-precision scikit-learn
Language:Jupyter Notebook 1
sharmasapna / credit-card-fraud-detection
Code to detect credit card fraud detecton
fraud-transactions fraudulent-transactions credit-cards smote-sampling random-over-sampling random-under-sampling decision-trees logistic-regression xgboost random-forest isolation-forest k-means-clustering tsne-visualization tsne-plot outlier-detection autoencoders recall-precision accuracy transaction-numbers dnn
Language:Jupyter Notebook 1
SSGrasland / SyriaTel-Customer-Churn-Rate
Classification machine learning models were trained and used to identify what features contributed to customer churn rate.
machine-learning random-forest recall-precision xgboost xgboost-classifier
Language:Jupyter Notebook 1
adityakamal7 / Credit-Card-Fraud-Detection
To recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase
roc auc imbalanced-classification recall-precision xgboost logistic-regression random-forest svc gridsearchcv
Language:Jupyter Notebook 0
gordhansingh88 / C45-Slot2-Lead-Scoring
In this repository, We are going to be working on upGrad's lead score data set and to see how can we solve the problem using Exploratory data analysis techniques and using supervised machine learning models.
eda lead recall-precision regression-models rfe
Language:Jupyter Notebook 0
MathCortes / Projeto10-Diabetes-ML_Classification
- Nesse trabalho vou explorar uma base vista em projetos passados, diabetes dataset. - Nela encontramos informações sobre algumas características de pacientes. Queremos estudar as características das pacientes e encontrar possíveis relações
confusion-matrix decision-tree-classifier kneighborsclassifier logistic-regression recall-precision receiver-operating-characteristic hyperparameter-tuning
Language:Jupyter Notebook 0
sunandarsyaputra / HomeWork-Haberman-dataset-DecisionTreeModel-
Model DecisionTree and evaluation model
decision-tree recall-precision google-colab
Language:Jupyter Notebook 0
vicaaa12 / machine-learning
machine learning
alpha alpha-beta-pruning confusion-matrix decision-tree-classifier decision-tree-model explotary-data-analysis feature-visualization features-extraction gini-importance gini-impurity gridsearch-tuning hyperparameter-tuning machine-learning performance-analysis performance-improvements performance-metrics python recall-precision regression-models normalization
Language:Jupyter Notebook 0
Abdelrahman13-coder / Supervised-Machine-Learning
f1-score recall-precision
Language:Jupyter Notebook
Abdullah2020 / Hamoye_StageC
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
accuracy-score classification-model confusion-matrix extratreesclassifier f1-score lgbmclassifier logistic-regression machine-learning random-forest-classifier recall-precision xgboost
Language:Jupyter Notebook
Ava33343 / Risky_Business
Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appears to be the model of best fit for the given data.
machine-learning scikit-learn statstics recall-precision roc-curves svm random-forest-classifier ensemble-learning adaboost gradient-boosting smote-oversampler smoteenn logisticsregression false-positive false-negative decision-trees confusion-matrix
Language:Jupyter Notebook