Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month

Enhanced Analysis
Educational Contributors: a.joly@ulg.ac.be vanderplas@astro.washington.edu bh00038@cvplws63.eps.surrey.ac.uk ha258@cornell.edu satra@mit.edu zl2480@columbia.edu pinto@alum.mit.edu jz4721@nyu.edu matteo.visconti.gr@dartmouth.edu vighneshbirodkar@nyu.edu robert.l.marchman@dartmouth.edu rs2715@stern.nyu.edu claire.savard@colorado.edu aaaagrawal@iitb.ac.in ihaque@cs.stanford.edu rspeer@mit.edu mluessi@nmr.mgh.harvard.edu amitibo@tx.technion.ac.il ericchang2017@u.northwestern.edu jkarno@seas.upenn.edu minghui.liu@trincoll.edu m.lyra@sussex.ac.uk andrew.knyazev@ucdenver.edu lamb@cs.stanford.edu camilo@neurostat.mit.edu martino.sorbaro@ed.ac.uk t.sheerman-chase@surrey.ac.uk cgohlke@uci.edu batulaa@drexel.edu kcarnold@alum.mit.edu apw@seas.harvard.edu abie@alum.mit.edu rossbar@berkeley.edu alceballosa@unal.edu.co fhoang7@berkeley.edu hechen@seas.upenn.edu stefan@sun.ac.za deepyaman.datta@utexas.edu rebekah.kim@columbia.edu shubham.bhardwaj2015@vit.ac.in slama@berkeley.edu nisingh@wharton.upenn.edu kanikas3@vt.edu jdlabal@stanford.edu kjells@uw.edu markus.loning.17@ucl.ac.uk k_nzw@klis.tsukuba.ac.jp dkirkby@uci.edu balawson@bu.edu c.brummitt@columbia.edu choo8@illinois.edu giorgio.patrini@anu.edu.au shangwuy@andrew.cmu.edu rafael.possas@sydney.edu.au olsonran@msu.edu brian.mcfee@nyu.edu naj273@nyu.edu dgrusak@trinity.edu emd222@cornell.edu voth0@sewanee.edu trishnendu.dd2014@cs.iiests.ac.in apeng@berkeley.edu boucher@cs.umass.edu lunt@ctbp.ucsd.edu bakhbari@mgh.harvard.edu piraka@brandeis.edu neal.lathia@cl.cam.ac.uk razhoshia@post.bgu.ac.il michal.romaniuk06@ic.ac.uk m.batchkarov@sussex.ac.uk lemin@cs.colostate.edu rudvlf0413@korea.ac.kr vredev16@msu.edu raschkas@msu.edu ali.baharev@univie.ac.at a.krasoulis@sms.ed.ac.uk arokem@berkeley.edu gabrielvr@al.insper.edu.br eric.sanchez1234@email.bakersfieldcollege.edu fcchou@stanford.edu rofuyu@cs.utexas.edu glemaitre@visor.udg.edu naoyaiijima@hiroshima-u.ac.jp ayushgup@iitk.ac.in joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au jam7w2@mail.missouri.edu j.hale09@imperial.ac.uk tw991@nyu.edu patel_zeel@iitgn.ac.in vincent.lostanlen@nyu.edu stvjc@channing.harvard.edu ritchieng@u.nus.edu bansalsi@usc.edu rbarnes@umn.edu rrohan@cs.cmu.edu liutong.zhou@columbia.edu mdh386@nyu.edu mlf419@nyu.edu shreyave@usc.edu jin.siy@northeastern.edu samuel_ainsworth@brown.edu cwijes1@lsu.edu wadawson@ucdavis.edu xinyuliu@umich.edu rz258@cornell.edu daniel.mallia21@myhunter.cuny.edu argriffi@ncsu.edu filipj@umich.edu kms15@case.edu sam.dixon@berkeley.edu khong008@e.ntu.edu.sg jnelso11@gmu.edu jclawton@umich.edu jaehyunahn@sogang.ac.kr ijpulidos@unal.edu.co gstupp@scripps.edu justhube@umich.edu noamkeidar@campus.technion.ac.il nityamd@nyu.edu css459@nyu.edu alyee@ucsd.edu andersk@mit.edu dhanus@mit.edu coreylevinson@uchicago.edu cailean.carter@quadram.ac.uk bral4884@colorado.edu dschult@colgate.edu dpwe@ee.columbia.edu dylan.cashman@tufts.edu pawelsendyk@berkeley.edu qzhang90@gatech.edu mhaberla@calpoly.edu saketk@student.unimelb.edu.au eunjikim@dm.snu.ac.kr erinrhof@uw.edu ksivaman@purdue.edu garmstrong@ucsd.edu konstantin.shmelkov@polytechnique.edu e175774@ie.u-ryukyu.ac.jp hermidal@cs.umd.edu jbearer@hmc.edu jmarin@csail.mit.edu
Repository Activity:
Repository Owner: scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2840 Educational commit emails
    142 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.2196/28361
Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)
Cited by: 2
Author(s): Ji Woong
Software Mentions: 1
Published: over 5 years ago
10.2196/11756
Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain
Cited by: 5
Author(s): Annie Chen, Aarti Swaminathan, William R. Kearns, Nicole M. Alberts, Emily F. Law, Tonya M. Palermo
Software Mentions: 1
Published: over 7 years ago
10.2196/12910
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches
Cited by: 14
Author(s): Alan Rozet, Ian M. Kronish, Joseph E. Schwartz, Karina W. Davidson
Software Mentions: 1
Published: over 7 years ago
10.2196/24996
Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study
Cited by: 11
Author(s): Haichen Lv, Xiaolei Yang, Bingyi Wang, Shaobo Wang, Xiaoyan Du, Qian Tan, Zhujing Hao, Ying Liu, Jun Yan, Yunlong Xia
Software Mentions: 1
Published: over 5 years ago
10.2196/25053
Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study
Cited by: 23
Author(s): Chang Seok Bang, Ji Yong Ahn, Joo Hang Kim, Young Il Kim, Il Ju Choi, Woon Geon Shin
Software Mentions: 1
Published: over 5 years ago
10.2196/27059
Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study
Cited by: 7
Author(s): Ashlynn R. Daughton, Courtney D Shelley, Martha Underwood Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadria Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
Software Mentions: 1
Published: over 5 years ago
10.2196/11029
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
Cited by: 100
Author(s): Chul Hyun Cho, Taek Lee, Min Gwan Kim, Hoh Peter In, Heon Jeong Lee
Software Mentions: 1
Published: over 7 years ago
10.2196/25535
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach
Cited by: 30
Author(s): Mengyi Xu, Liu Ouyang, Lei Han, Kai Sun, Tong-Fu Yu, Qian Li, Hua Tian, Lida Safarnejad, Hengdong Zhang, Yue Gao, Forrest Sheng Bao, Yuanfang Chen, Patrick Robinson, Yaorong Ge, Baoli Zhu, Jie Liu, Shi Chen
Software Mentions: 1
Published: over 5 years ago
10.2196/13090
Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus
Cited by: 41
Author(s): Ashlynn R. Daughton, Michael J. Paul
Software Mentions: 1
Published: over 7 years ago
10.2196/jmir.7754
Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches
Cited by: 9
Author(s): Yuqun Zeng, Xusheng Liu, Yanshan Wang, Feichen Shen, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Hongfang Liu
Software Mentions: 1
Published: almost 9 years ago
10.2196/26843
Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study
Cited by: 12
Author(s): Syed Asil Ali Naqvi, Karthik Tennankore, Amanda J. Vinson, Patrice Roy, Syed Sibte Raza Abidi
Software Mentions: 1
Published: about 5 years ago
10.2196/14007
Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study
Cited by: 38
Author(s): Zubair Shah, Didi Surian, Amalie Dyda, Enrico Coiera, Kenneth D Mandl, Adam G. Dunn
Software Mentions: 1
Published: almost 7 years ago
10.2196/jmir.4466
Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study
Cited by: 80
Author(s): Annice Kim, Tim Hopper, Sean Simpson, James Nonnemaker, Alicea Lieberman, Heather Hansen, Jamie Guillory, Lauren Porter
Software Mentions: 1
Published: almost 11 years ago
10.2196/17478
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
Cited by: 20
Author(s): Shyam Visweswaran, Jason B. Colditz, Patrick O’Halloran, Na-Rae Han, Sanya Bathla Taneja, Joel Welling, Kar-Hai Chu, Jaime E. Sidani, Brian A. Primack
Software Mentions: 1
Published: about 6 years ago
10.2196/25442
An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model
Cited by: 57
Author(s): Hoon Ko, Ho Young Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae–Young Choi, Rafael Jaimes, Kyung Won Kim, Jin-Seok Lee
Software Mentions: 1
Published: over 5 years ago
10.2196/15876
Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study
Cited by: 16
Author(s): Andrew J King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Miloš Hauskrecht, Dean F. Sittig
Software Mentions: 1
Published: over 6 years ago
10.1186/s12984-018-0446-z
Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation
Cited by: 68
Author(s): Michael H. Li, Tiago Mestre, Susan H. Fox, Babak Taati
Software Mentions: 1
Published: almost 8 years ago
10.1007/s00415-020-09931-z
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders
Cited by: 25
Author(s): Seyed-Ahmad Ahmadi, Gerome Vivar, Nassir Navab, Ken Möhwald, Andreas Maier, Hristo Hadzhikolev, Thomas Brandt, Eva Grill, Marianne Dieterich, Klaus Jahn, Andreas Zwergal
Software Mentions: 1
Published: over 6 years ago
10.1155/2021/5518717
Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis
Cited by: 16
Author(s): Zhiyuan Liu, Zekun Jiang, Meng Li, Jun Yang, Ying Liu, Yingying Zhang, Haiqin Peng, Jiahui Li, Gang Xiao, Zijian Zhang, Rongrong Zhou
Software Mentions: 1
Published: over 5 years ago
10.1155/2018/1875431
Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy
Cited by: 46
Author(s): Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Ken Hayashi, Yoshinori Mitamura
Software Mentions: 1
Published: almost 8 years ago
10.1155/2019/7820971
Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles
Cited by: 10
Author(s): Hiroki Masumoto, Hitoshi Tabuchi, Tsuyoshi Yoneda, Shunsuke Nakakura, Hideharu Ohsugi, Tamaki Sumi, Atsuki Fukushima
Software Mentions: 1
Published: over 7 years ago
10.18632/oncotarget.20365
MLACP: machine-learning-based prediction of anticancer peptides
Cited by: 185
Author(s): Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Sun Choi, Myeong Ok Kim, Gwang Lee
Software Mentions: 1
Published: about 9 years ago
10.18632/oncotarget.23099
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
Cited by: 81
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: almost 9 years ago
10.3390/jpm11080748
Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal Gastrectomy
Cited by: 3
Author(s): Shui-jin Shao, Lu Liu, Yufeng Zhao, Lei Mu, Qiyi Lu, Jianbing Qin
Software Mentions: 1
Published: about 5 years ago
10.3390/jpm11040312
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach
Cited by: 6
Author(s): Andrzej Konieczny, Jakub Stojanowski, Magdalena Krajewska, Mariusz Kusztal
Software Mentions: 1
Published: over 5 years ago
10.1021/acs.jpcb.1c02503
A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields
Cited by: 18
Author(s): Riccardo Capelli, Andrea Gardin, Charly Empereur-mot, Giovanni Doni, Giovanni M. Pavan
Software Mentions: 1
Published: about 5 years ago
10.1021/acs.jpclett.1c00045
Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics
Cited by: 25
Author(s): Filippo Marchetti, Elisabetta Moroni, Alessandro Pandini, Giorgio Colombo
Software Mentions: 1
Published: over 5 years ago
10.1186/s12967-020-02542-2
The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models
Cited by: 14
Author(s): Bo Peng, Hang Gong, Tian Han, Quan Zhuang, Junhui Li, Ke Cheng, Yingzi Ming
Software Mentions: 1
Published: almost 6 years ago
10.1007/s12650-017-0451-5
Visualization of JOV abstracts
Cited by: 2
Author(s): Koji Koyamada, Yosuke Onoue, Miki Kioka, Tomoya Uetsuji, Kazutaka Baba
Software Mentions: 1
Published: almost 9 years ago
10.1523/ENEURO.0414-17.2018
Organization of Neural Population Code in Mouse Visual System
Cited by: 6
Author(s): Kathleen Esfahany, Isabel Siergiej, Yuan Zhao, Il Park
Software Mentions: 1
Published: about 8 years ago