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
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 PainCited 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 ApproachesCited 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 StudyCited 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 StudyCited 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 StudyCited 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 StudyCited 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 ApproachCited 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 VirusCited 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 ApproachesCited 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 StudyCited 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 StudyCited 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 StudyCited 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 StudyCited 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 ModelCited 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 StudyCited 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 estimationCited 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 disordersCited 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 MetastasisCited 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 OphthalmoscopyCited 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 EnsemblesCited 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 peptidesCited 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 forestCited 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 GastrectomyCited 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 ApproachCited 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 FieldsCited 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 DynamicsCited 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 modelsCited 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 abstractsCited 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 SystemCited by: 6
Author(s): Kathleen Esfahany, Isabel Siergiej, Yuan Zhao, Il Park
Software Mentions: 1
Published: about 8 years ago