roccurve

There are 0 repository under roccurve topic.

aldimeolaalfarisy / Rain-Prediction-Using-Machine-Learning
Predict rain the next day using daily observations of weather aspects in Australia regions for 10 years
classification-algorithm machinelearning auc roccurve
Language:Jupyter Notebook 1
ganesh-97 / Employee-Attrition-Prediction-On-going-
Employee attrition prediction with an interactive environment
django python machine-learning logistic-regression roccurve cross-validation classification-model
Language:Python 1
Kyziridis / Toxic-Comment-Classification-Challenge
Identify and classify toxic online comments using NLP and Machine-Learning algorithms
python tf-idf text-mining machine-learning nlp-machine-learning classification data-mining text-classification naive-bayes-classifier logistic-regression roccurve multilabel-classification
Language:Python 1
mztrk / ROCCurve
Drawing Roc Curve
roccurve drawing curve
1
PRAN20 / ROC-Graph
ROC curve for any dataset, with 8 classification Algorithm in One.
python roc roccurve
Language:Jupyter Notebook 1
shreyaswankhede / LTFS-Data-Science-FinHack-ML-Hackathon
The objective of this project is to predict the probability of loanee or borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.
machinelearning datascience hackathon 2019 ltfs finhack vehicleloandefaultprediction catboost auc roccurve classification classifier model python jupyter-notebook colab
Language:Jupyter Notebook 1
srilakshmi-thota / Machine-Intelligence-Expertise-Systems
EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019
machinelearning-python clustering-algorithm decisiontreeclassifier roccurve auc python machine-intelligence neural-network iris-dataset machinelearningprojects
Language:Python 1
trajceskijovan / Fake-News
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
dplyr tidyr glmnet foreach ggplot2 worldcloud logistic-regression random-forest linear-regression stemming lemmatization dtf dtm naive-bayes svm nnet roccurve confusion-matrix f1-score rscript
Language:R 1
vedantyetekar / heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
machine-learning scikit-learn python random-forest sklearn knn-classification logistic-regression randomforestclassifier pandas numpy matplotlib jupyter-notebook confusion-matrix correlation-matrices roccurve zerotomastery
Language:Jupyter Notebook 1
venkateshavula / Multiple-roc-curves-in-a-single-plot
The code loops through the list of models and plots respective roc curves in a single plot
roccurve sklearn matplotlib machine-learning
Language:Python 1
Akankhya-Mohapatra / Statistical-Learning-with-R
Strategizing to maximize Customer Retention in Telecom Company
random-forest missing-data montecarlo-simulation roccurve xgboost-regression
Language:HTML 0
alailink / UMN_Prelim_NSCI_Math_Review
Review of mathematical neuroscience topics for the UMN Neurosci prelim
neuroscience python roccurve roc cross-correlation behavioral-neuroscience
Language:Python 0
danort92 / Prediction-of-Cross-sell-Opportunities-for-Insurance-Policies
Insurance Cross Sell Opportunity Forecast through machine learning algorithm
f1-score linear-regression logistic-regression machine-learning machinelearning-python precision-recall roccurve
Language:Jupyter Notebook 0
exmnx / STA-HW
Work from various classes
decision-trees elasticnet lasso linear-regression random-forest ridge-regression roccurve xgboost r
Language:Jupyter Notebook 0
isra-st / Customer_Segmentation
Explorartory Data Analysis with visualization. Use the supervised machine learning models to predict the customer segmentation. Use unsupervised learning model K Nearest Neighbors to create new clusters. Create Personas of the new clusters.
roccurve lgbm kmeans-clustering personas
Language:Jupyter Notebook 0
JoshuaKoopmans / SignalPeptideClassifier
Given files with sequences containing signal peptides and sequences not containing signal peptides, multiple classifiers were tested to see which performs best in the classification of signal peptide sequences.
sklearn svm-classifier random-forest logistic-regression signal peptide peptide-sequences roccurve
Language:Python 0
MarilenaGrosu / Computational-Intelligence
Analiza indicatorilor macroeconomici precum pretul, numarul de actiuni, venit, profit, cash flow etc pentru firmele din industria materiilor prime.
neuronal-network descriptive-statistics clustering-algorithm decision-trees roccurve regression-trees
Language:R 0
mishika12 / Classification-Predicting_Heart_Disease_using_TreeMethods
Predicting the likelihood of patient to be at the risk of a heart disease
decision-tree-classifier hyperparameter-tuning random-forest roccurve
Language:Jupyter Notebook 0
NewzySharma / MachineLearning
Machine Learning Algorithms
regression-models regression-analysis logistic-regression classification-algorithm multiclass-classification roccurve linear-regression qqplot random-forest stepwise-regression ridge-regression multicollinearity auc kfold-cross-validation
Language:Jupyter Notebook 0
Pranavi1990 / Logistic-Regression
The client, a financial service institution, want to increase revenue streams and intents to target a segment of their customers who are most likely to default on the loans/Credit taken. We try to solve this problem using Logistic Regression Model.
confusion-matrix logistic-regression roccurve rstats statistical-analysis supervised-machine-learning
Language:R 0
ruddysimon / ADS503-Applied-Predictive-Modeling
Cervical Cancer detection using linear and non-linear machine learning algorithms
algorithms cancer-detection data datascience linear-models machine-learning non-linear-model r roccurve
Language:R 0
sina-bozorgmehr / Hospital_readmission_Classification
Classification using KNN
knn-classification seaborn-plots univariate-analysis bivariate-analysis sklearn gridsearchcv hyperparameter-tuning roccurve
Language:Jupyter Notebook 0
williamadams1 / bankmarketingdata
python binaryclassification roccurve confusionmatrix minmaxscaling
Language:Jupyter Notebook 0
ashishyadav24092000 / OptimumThreshold_ROC
Here we will be firstly analysing the how different threshold values effect the area under the Curve in a Receiver Operating charcteristic(ROC) curve. And at last we will show how to define a function in python to calculate the most optimal threshold value for the logistic Regression.
confusion-matrix classification-report roccurve threshold logistic-regression tpr fpr specificity accuracy sensitivity precision
Language:Jupyter Notebook
randleon / Understanding-Classification-Model-Performance-Metrics-On-Diabetes-Dataset
Evaluation of the performance of classification models can be facilitated through a combination of calculating certain types of performance metrics and generating model performance evaluation graphics. The purpose of this exercise is to calculate a suite of classification model performance metrics via Python code functions.
accuracy-metrics areaundercurve confusion-matrix f1-score precision roccurve sensitivity
Language:Jupyter Notebook
SamuelSousaFerreira / Titanic-Passo-a-Passo
Conhecido Desafio do Titanic completo resolvido passo a passo com 9 modelos de machine learning diferentes.
random-forest-classifier gradientboostinclassifier logistic-regression exploratory-data-analysis decision-trees linear-regression xgboost machine-learning roccurve confusion-matrix
Language:Jupyter Notebook
sanjaybalekar / Telco-Customer-Churn-
https://www.kaggle.com/blastchar/telco-customer-churn
roccurve eda
Language:Jupyter Notebook

roccurve

aldimeolaalfarisy / Rain-Prediction-Using-Machine-Learning

ganesh-97 / Employee-Attrition-Prediction-On-going-

Kyziridis / Toxic-Comment-Classification-Challenge

mztrk / ROCCurve

PRAN20 / ROC-Graph

shreyaswankhede / LTFS-Data-Science-FinHack-ML-Hackathon

srilakshmi-thota / Machine-Intelligence-Expertise-Systems

trajceskijovan / Fake-News

vedantyetekar / heart-disease-prediction

venkateshavula / Multiple-roc-curves-in-a-single-plot

Akankhya-Mohapatra / Statistical-Learning-with-R

alailink / UMN_Prelim_NSCI_Math_Review

danort92 / Prediction-of-Cross-sell-Opportunities-for-Insurance-Policies

exmnx / STA-HW

isra-st / Customer_Segmentation

JoshuaKoopmans / SignalPeptideClassifier

MarilenaGrosu / Computational-Intelligence

mishika12 / Classification-Predicting_Heart_Disease_using_TreeMethods

NewzySharma / MachineLearning

Pranavi1990 / Logistic-Regression

ruddysimon / ADS503-Applied-Predictive-Modeling

sina-bozorgmehr / Hospital_readmission_Classification

williamadams1 / bankmarketingdata

ashishyadav24092000 / OptimumThreshold_ROC

randleon / Understanding-Classification-Model-Performance-Metrics-On-Diabetes-Dataset

SamuelSousaFerreira / Titanic-Passo-a-Passo

sanjaybalekar / Telco-Customer-Churn-