How to write the SVM classification code in Python?
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| Papers (9) | Insight |
|---|---|
11 Jun 2017 41 Citations | The experimental results show that the offered approach allows increasing the classification quality of the SVM classifier. |
01 Jan 2017 13 Citations | The experimental results show that the SVM classifier outperforms traditional classification and distance measurement methods. |
10 Jun 2009 | Our results show that the C-SVM classifier gives the lowest classification error compared to other methods. |
216 Citations | The classification results also show that the approach based on SVM has high performance in convergence, speed, and accuracy of training and classifying. |
12 Citations | Experimental results show that the proposed method improves the classification accuracy in comparison to the standard SVM and to feature selection methods. |
| Experimental results demonstrate the efficacy of the proposed SVM classification method by obtaining an -measure of 0.80. | |
01 Oct 2016 17 Citations | Classification results obtained using one class SVM are superior than classical SVM as advocated by our simulations. |
18 Oct 2008 13 Citations | The performance of the Multi-class SVM is illustrated by extensive experimental results which indicate that with suitable Kernel and parameters better classification accuracy can be achieved as compared to other methods. |
28 Jun 2011 22 Citations | Based on empirical evidence our method outperforms regular SVM in terms of probability predictions and classification performances. |
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