<p>try the below reference:</p>

<p>1) A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models <a href="http://arxiv.org/abs/1402.3144" rel="nofollow noreferrer">http://arxiv.org/abs/1402.3144</a> (published in Neurocomputing)</p>

<p>2) Assessing binary classifiers using only positive and unlabeled data: <a href="http://arxiv.org/abs/1504.06837" rel="nofollow noreferrer">http://arxiv.org/abs/1504.06837</a></p>
How to do multiclass classification for unlabeled data in python?
<p>I have a data with 20 different types (as a column), 10 out of 20 are useful information, I wanted to classify them into 10 different class using logistic regression, as a result I wanted to show the number of records in each class. Data is not labeled.</p>

<pre><code>183820,9.17101300730551E+018,9,7,79,169,2017,10,17,6,3,0,1,1,0,0,0,0,0,0,637126.9861,5399201
183821,9.17101300712351E+018,9,7,72,147,2017,10,8,6,3,6,2,0,1,1,0,0,0,0,639046.3051,5363761.
</code></pre>