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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
CANCER DETECTION USING MACHINE LEARNING
Authors
MOHD SAQUIB, MOHD MONIS, NITIN KR. PANDEY, SHIVAM GUPTA
Keywords
Machine learning (ML), Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Naive Bayes (NB).
Abstract
Abstract: Machine Learning algorithms are being widely used in the prediction of cancer type based on the past data. The machine learning algorithm is trained with past data that can be used to predict the type and severity of cancer, which can help the medical professional in treating cancer. The early and quick diagnosis of a cancer type have become a necessity in cancer research. In this study, the past data is pre-processed and was used to train several different machine learning models such as Logistic Regression, Support Vector Machine, K-Nearest Neighbour with the comparison of each model using Log-loss and Accuracy as performance metric. The result obtained after comparison of each model was the Logistic Regression with feature engineering attained the highest accuracy and least log-loss in both training and testing of our data.
IJCRT's Publication Details
Unique Identification Number - IJCRT2006308
Paper ID - 195516
Page Number(s) - 2261-2268
Pubished in - Volume 8 | Issue 6 | June 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
MOHD SAQUIB, MOHD MONIS, NITIN KR. PANDEY, SHIVAM GUPTA, "CANCER DETECTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.2261-2268, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006308.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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