Klasifikasi probabilitas biner (misal: spam vs bukan spam, lulus vs gagal) berbasis fungsi sigmoid.
Pelajari sintaks di bawah, pahami alur eksekusi logika interpreter Python, dan uji secara langsung di Code Lab Skillance Academy.
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<span style="margin-left: 8px; font-weight: bold; color: #38bdf8;">Logistic Regression - Skillance Python 3.12</span>
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<span class="comment"># Skrip Python - Skillance Academy Indonesia</span>
from sklearn.linear_model import LogisticRegression
print('Logistic Regression Model Siap Klasifikasi')
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<div style="color: #64748b; margin-bottom: 6px;">[Terminal Output] > python main.py</div>
<div style="color: #4ade80; font-weight: bold;">Logistic Regression Model Siap Klasifikasi</div>
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</html>Uji skrip Python untuk topik Logistic Regression di atas dan amati hasil eksekusi terminalnya secara instan.