@article{article_419553, title={Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database}, journal={Balkan Journal of Electrical and Computer Engineering}, volume={6}, pages={112–117}, year={2018}, DOI={10.17694/bajece.419553}, author={Furat, Fahriye Gemci and Ibrikci, Turgay}, keywords={Bayesian Network,KNN,Decision Table,Random Forest,SVM,Classification,MongoDB,NoSQL}, abstract={<p> <b> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:EN-US; mso-bidi-language:AR-SA">There are samples both with Down Syndrome and without in mice protein expression data set. It is important to define the reason of Down Syndrome treatment by means of mice protein for the same treatment seem human being. In the present study, mice protein expression data set from UCI repository are classified using Bayesian Network algorithm, K- Nearest Neighbor, Decision Table, Random Forest and Support Vector Machine which are some of classification methods.  The classification algorithms with 10-fold cross validation and by splitting equally as test and train data are tested to classify on the mice protein data set. The classification of the data set was succeeded with 94.3519% accuracy in 0.06 seconds using </span> <span style="font-size:9.0pt;line-height:115%;font-family: "Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-fareast-font-family: -윤명조120;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:KO; mso-bidi-language:AR-SA;layout-grid-mode:line;mso-bidi-font-style:italic">Bayesian Network </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:EN-US; mso-bidi-language:AR-SA">, with 99.2593% accuracy in 0.01 seconds using </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:-윤명조120;mso-hansi-theme-font: minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;mso-fareast-language:KO;mso-bidi-language:AR-SA; layout-grid-mode:line;mso-bidi-font-style:italic">KNN </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:EN-US; mso-bidi-language:AR-SA">, with 95.4630 % accuracy in 1.2 seconds using Decision Table </span> <span style="font-size:9.0pt;line-height:115%;font-family: "Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-fareast-font-family: -윤명조120;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:KO; mso-bidi-language:AR-SA;layout-grid-mode:line;mso-bidi-font-style:italic">, </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:EN-US; mso-bidi-language:AR-SA">with 100% accuracy in 0.58 seconds using </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:-윤명조120;mso-hansi-theme-font: minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;mso-fareast-language:KO;mso-bidi-language:AR-SA; layout-grid-mode:line;mso-bidi-font-style:italic">Random Forest </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;mso-ansi-language:TR;mso-fareast-language:EN-US; mso-bidi-language:AR-SA"> and with 100% accuracy in 1.17 seconds using </span> <span style="font-size:9.0pt;line-height:115%;font-family:"Calibri",sans-serif; mso-ascii-theme-font:minor-latin;mso-fareast-font-family:-윤명조120;mso-hansi-theme-font: minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;mso-fareast-language:KO;mso-bidi-language:AR-SA; layout-grid-mode:line;mso-bidi-font-style:italic">SVM, </span> <span style="font-size:9.0pt;line-heig}, number={2}, publisher={MUSA YILMAZ}