{"id":2934,"date":"2021-11-24T10:15:00","date_gmt":"2021-11-24T03:15:00","guid":{"rendered":"https:\/\/arikuncoro.xyz\/blog\/?p=2934"},"modified":"2021-12-02T11:06:06","modified_gmt":"2021-12-02T04:06:06","slug":"5-solusi-atasi-overfitting-dalam-modeling","status":"publish","type":"post","link":"https:\/\/arikuncoro.xyz\/blog\/data-science\/5-solusi-atasi-overfitting-dalam-modeling\/","title":{"rendered":"5 Solusi Atasi Overfitting dalam Modeling"},"content":{"rendered":"\n

225<\/p>\n\n\n\n

Oleh: Bernardus Ari Kuncoro<\/p>\n\n\n\n

Dalam machine learning, overfitting itu problem yang biasa terjadi.<\/p>\n\n\n\n

Apa itu Overfitting?<\/strong><\/p>\n\n\n\n

Singkatnya, overfitting<\/em> itu terjadi ketika model belajar dari data training dengan hafalan saja, tetapi tidak memiliki pemahaman menyeluruh terhadap proses learning.<\/p>\n\n\n\n

Bagaimana cara mendeteksinya? <\/strong><\/p>\n\n\n\n

Cara mendeteksi overfitting adalah dengan membandingkan akurasi pada data training dan data testing.<\/p>\n\n\n\n

Jika akurasi sangat tinggi pada data training, sementara akurasi sangat rendah pada data testing, bisa dipastikan model kamu overfitting.<\/p>\n\n\n\n

Apa saja solusinya?<\/strong><\/p>\n\n\n\n

Beberapa hal yang bisa dilakukan adalah sebagai berikut: <\/p>\n\n\n\n

  1. Sederhanakan model. Mau nggak mau, proses training mesti diulangi dengan model yang lebih sederhana. Misal Linear Regression, terlebih jika prediktor – result memang linear.<\/li>
  2. Regularization against overfitting. Jika performa model yang sederhana sama dengan model yang lebih kompleks, pilih yang model sederhana saja.<\/li>
  3. Lakukan Data augmentation untuk data tabular, seperti SMOTE.<\/li>
  4. Hyperparameter tuning + Cross validation<\/li>
  5. Pakai ensemble models seperti Random Forest, ya meskipun tidak selalu sih. Cuma, seringnya akan terhindar dari overfitting.<\/li><\/ol>\n\n\n\n

    Sumber: Joos Korstanje (Medium)
    https:\/\/towardsdatascience.com\/solutions-against-overfitting-for-machine-learning-on-tabular-data-857c080651fd<\/a> <\/p>\n\n\n\n

    Kalideres, 24 November 2021<\/p>\n","protected":false},"excerpt":{"rendered":"

    225 Oleh: Bernardus Ari Kuncoro Dalam machine learning, overfitting itu problem yang biasa terjadi. Apa itu Overfitting? Singkatnya, overfitting itu …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[118],"tags":[99,1193,941,1223],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/posts\/2934"}],"collection":[{"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/comments?post=2934"}],"version-history":[{"count":3,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/posts\/2934\/revisions"}],"predecessor-version":[{"id":2941,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/posts\/2934\/revisions\/2941"}],"wp:attachment":[{"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/media?parent=2934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/categories?post=2934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arikuncoro.xyz\/blog\/wp-json\/wp\/v2\/tags?post=2934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}