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

10.1186/s12911-018-0676-9
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research
Cited by: 7
Author(s): Xiangrui Li, Dongxiao Zhu, Phillip D. Levy
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12911-020-01297-6
Combining structured and unstructured data for predictive models: a deep learning approach
Cited by: 80
Author(s): Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women
Cited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 5 years ago
10.18632/aging.102900
Prediction of chronological and biological age from laboratory data
Cited by: 15
Author(s): Luke Sagers, Luke Melas-Kyriazi, Chirag Patel, Arjun K. Manrai
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-020-01131-z
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks
Cited by: 17
Author(s): Laura Kinkead, Ahmed Allam, Michael Krauthammer
Software Mentions: 1
Published: about 6 years ago
10.1186/s12911-021-01562-2
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
Cited by: 3
Author(s): Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, Rafael S. Costa
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-019-1008-4
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks
Cited by: 19
Author(s): Sung Mo Ryu, Sung Wook Seo, Sun-Ho Lee
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-019-0782-3
Identifying peer experts in online health forums
Cited by: 15
Author(s): V. G. Vinod Vydiswaran, Manoj Reddy
Software Mentions: 1
Published: over 7 years ago
10.1186/s12911-021-01489-8
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods
Cited by: 6
Author(s): Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Li, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-020-01326-4
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data
Cited by: 9
Author(s): Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-019-0781-4
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Cited by: 76
Author(s): Yao Liang, Chengsheng Mao, Yuan Luo
Software Mentions: 1
Published: over 7 years ago
10.1186/s13073-015-0189-4
Inferring pathway dysregulation in cancers from multiple types of omic data
Cited by: 13
Author(s): Shelley M. MacNeil, W. Evan Johnson, Dean Y. Li, Stephen R. Piccolo, Andrea Bild
Software Mentions: 1
Published: about 11 years ago
10.1186/s12911-021-01582-y
Privacy-preserving dataset combination and Lasso regression for healthcare predictions
Cited by: 12
Author(s): Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Software Mentions: 1
Published: almost 5 years ago
10.1186/s13073-018-0571-0
Exploring the OncoGenomic Landscape of cancer
Cited by: 7
Author(s): Lídia Mateo, Oriol Guitart-Pla, Miquel Duran‐Frigola, Patrick Aloy
Software Mentions: 1
Published: about 8 years ago
10.1186/s13073-020-00775-w
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations
Cited by: 26
Author(s): Shuang Li, K. Joeri van der Velde, Dick de Ridder, Aalt D. J. van Dijk, Dimitrios Soudis, Leslie R. Zwerwer, Patrick Deelen, Dennis Hendriksen, Bart Charbon, Mariëlle van Gijn, Kristin M. Abbott, Birgit Sikkema‐Raddatz, Cleo C. van Diemen, Wilhelmina S. Kerstjens‐Frederikse, Richard J. Sinke, Morris A. Swertz
Software Mentions: 1
Published: about 6 years ago
10.1186/s12911-021-01591-x
Improvement of APACHE II score system for disease severity based on XGBoost algorithm
Cited by: 8
Author(s): Yan Luo, Zhiyu Wang, Cong Wang
Software Mentions: 1
Published: about 5 years ago
10.3390/ijerph17072437
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads
Cited by: 7
Author(s): Yuting Qin, Yu-Ren Chen, Kun-Peng Lin
Software Mentions: 1
Published: over 6 years ago
10.5808/GI.2019.17.3.e30
Deep learning for stage prediction in neuroblastoma using gene expression data
Cited by: 5
Author(s): Aron Park, Seungyoon Nam
Software Mentions: 1
Published: almost 7 years ago
10.3390/ijerph17082788
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China
Cited by: 231
Author(s): Xuehua Han, Juanle Wang, Min Zhang, Xiaojie Wang
Software Mentions: 1
Published: over 6 years ago
10.1093/gigascience/gix115
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations
Cited by: 71
Author(s): Xihong Wang, Zhuqing Zheng, Yi Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12880-021-00660-x
Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankle
Cited by: 3
Author(s): Wen Yan, Xiangjun Meng, Jinglai Sun, Hui Yu, Zhi Wang
Software Mentions: 1
Published: about 5 years ago
10.1186/s12880-019-0392-7
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features
Cited by: 58
Author(s): Xiaolu Ma, Shoukuan Fu, Yan Jia, Yuwei Xia, Yongling Li, Jianping Lu
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12880-021-00560-0
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Cited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: over 5 years ago
10.3390/ijerph17145145
Mapping the Potential Distribution of Major Tick Species in China
Cited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: about 6 years ago
10.1186/s12920-020-00779-w
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Cited by: 7
Author(s): Trinh Trung Duong Nguyen, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh-Van Phan, Yu‐Yen Ou
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12920-019-0607-3
A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
Cited by: 21
Author(s): Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda, Takashi Sakurai, Kouichi Ozaki, Takahiro Ochiya, Shumpei Niida
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12920-020-00783-0
Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network
Cited by: 7
Author(s): Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng
Software Mentions: 1
Published: almost 6 years ago
10.1007/s13755-020-00123-7
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults
Cited by: 32
Author(s): Ilias Tachmazidis, Tianhua Chen, Marios Adamou, Grigoris Antoniou
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12920-018-0388-0
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
Cited by: 38
Author(s): Yasser EL-Manzalawy, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Honavar
Software Mentions: 1
Published: about 8 years ago
10.3390/ijerph17218187
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions
Cited by: 18
Author(s): Joshua Cohen, Jennifer Wright-Berryman, Lesley Rohlfs, Donald Wright, M. Karen Campbell, Debbie Gingrich, Daniel Santel, John Pestian
Software Mentions: 1
Published: almost 6 years ago