build a predictive model using WEKA using any algorithms except K-Nearest-Neighbour, Logistic Regression, Naive Bayes and Multilayer Perceptron. Save the best performing model that you find after hyper- parameter tuning, and record the performance of the model. Explain what hyper-parameters were tuned, which hyper-parameter values were considered during the tuning process, and which values led to the best performing model. Explain why you believe you obtain such results, by building on your knowledge of how the algorithm works.

Data set is given below. It is already in Arff form... Please upload any screenshots that are possible while working with weka.

@RELATION heart_failure_clinical_records_dataset

@ATTRIBUTE age REAL @ATTRIBUTE anaemia REAL @ATTRIBUTE creatinine_phosphokinase REAL @ATTRIBUTE diabetes REAL @ATTRIBUTE ejection_fraction REAL @ATTRIBUTE high_blood_pressure REAL @ATTRIBUTE platelets REAL @ATTRIBUTE serum_creatinine REAL @ATTRIBUTE serum_sodium REAL @ATTRIBUTE sex REAL @ATTRIBUTE smoking REAL @ATTRIBUTE time REAL @ATTRIBUTE death_event {0,1}

@DATA 75,0,582,0,20,1,265000,1.9,130,1,0,4,1 55,0,7861,0,38,0,263358.03,1.1,136,1,0,6,1 65,0,146,0,20,0,162000,1.3,129,1,1,7,1 50,1,111,0,20,0,210000,1.9,137,1,0,7,1 65,1,160,1,20,0,327000,2.7,116,0,0,8,1 90,1,47,0,40,1,204000,2.1,132,1,1,8,1 75,1,246,0,15,0,127000,1.2,137,1,0,10,1 60,1,315,1,60,0,454000,1.1,131,1,1,10,1 65,0,157,0,65,0,263358.03,1.5,138,0,0,10,1 80,1,123,0,35,1,388000,9.4,133,1,1,10,1 75,1,81,0,38,1,368000,4,131,1,1,10,1 62,0,231,0,25,1,253000,0.9,140,1,1,10,1 45,1,981,0,30,0,136000,1.1,137,1,0,11,1 50,1,168,0,38,1,276000,1.1,137,1,0,11,1 49,1,80,0,30,1,427000,1,138,0,0,12,0 82,1,379,0,50,0,47000,1.3,136,1,0,13,1 87,1,149,0,38,0,262000,0.9,140,1,0,14,1 45,0,582,0,14,0,166000,0.8,127,1,0,14,1 70,1,125,0,25,1,237000,1,140,0,0,15,1 48,1,582,1,55,0,87000,1.9,121,0,0,15,1 65,1,52,0,25,1,276000,1.3,137,0,0,16,0 65,1,128,1,30,1,297000,1.6,136,0,0,20,1 68,1,220,0,35,1,289000,0.9,140,1,1,20,1 53,0,63,1,60,0,368000,0.8,135,1,0,22,0 75,0,582,1,30,1,263358.03,1.83,134,0,0,23,1 80,0,148,1,38,0,149000,1.9,144,1,1,23,1 95,1,112,0,40,1,196000,1,138,0,0,24,1 70,0,122,1,45,1,284000,1.3,136,1,1,26,1 58,1,60,0,38,0,153000,5.8,134,1,0,26,1 82,0,70,1,30,0,200000,1.2,132,1,1,26,1 94,0,582,1,38,1,263358.03,1.83,134,1,0,27,1 85,0,23,0,45,0,360000,3,132,1,0,28,1 50,1,249,1,35,1,319000,1,128,0,0,28,1 50,1,159,1,30,0,302000,1.2,138,0,0,29,0 65,0,94,1,50,1,188000,1,140,1,0,29,1 69,0,582,1,35,0,228000,3.5,134,1,0,30,1 90,1,60,1,50,0,226000,1,134,1,0,30,1 82,1,855,1,50,1,321000,1,145,0,0,30,1 60,0,2656,1,30,0,305000,2.3,137,1,0,30,0 60,0,235,1,38,0,329000,3,142,0,0,30,1 70,0,582,0,20,1,263358.03,1.83,134,1,1,31,1 50,0,124,1,30,1,153000,1.2,136,0,1,32,1 70,0,571,1,45,1,185000,1.2,139,1,1,33,1 72,0,127,1,50,1,218000,1,134,1,0,33,0 60,1,588,1,60,0,194000,1.1,142,0,0,33,1 50,0,582,1,38,0,310000,1.9,135,1,1,35,1 51,0,1380,0,25,1,271000,0.9,130,1,0,38,1 60,0,582,1,38,1,451000,0.6,138,1,1,40,1 80,1,553,0,20,1,140000,4.4,133,1,0,41,1 57,1,129,0,30,0,395000,1,140,0,0,42,1 68,1,577,0,25,1,166000,1,138,1,0,43,1 53,1,91,0,20,1,418000,1.4,139,0,0,43,1 60,0,3964,1,62,0,263358.03,6.8,146,0,0,43,1 70,1,69,1,50,1,351000,1,134,0,0,44,1 60,1,260,1,38,0,255000,2.2,132,0,1,45,1 95,1,371,0,30,0,461000,2,132,1,0,50,1 70,1,75,0,35,0,223000,2.7,138,1,1,54,0 60,1,607,0,40,0,216000,0.6,138,1,1,54,0 49,0,789,0,20,1,319000,1.1,136,1,1,55,1 72,0,364,1,20,1,254000,1.3,136,1,1,59,1 45,0,7702,1,25,1,390000,1,139,1,0,60,1 50,0,318,0,40,1,216000,2.3,131,0,0,60,1 55,0,109,0,35,0,254000,1.1,139,1,1,60,0 45,0,582,0,35,0,385000,1,145,1,0,61,1 45,0,582,0,80,0,263358.03,1.18,137,0,0,63,0 60,0,68,0,20,0,119000,2.9,127,1,1,64,1 42,1,250,1,15,0,213000,1.3,136,0,0,65,1 72,1,110,0,25,0,274000,1,140,1,1,65,1 70,0,161,0,25,0,244000,1.2,142,0,0,66,1 65,0,113,1,25,0,497000,1.83,135,1,0,67,1 41,0,148,0,40,0,374000,0.8,140,1,1,68,0 58,0,582,1,35,0,122000,0.9,139,1,1,71,0 85,0,5882,0,35,0,243000,1,132,1,1,72,1 65,0,224,1,50,0,149000,1.3,137,1,1,72,0 69,0,582,0,20,0,266000,1.2,134,1,1,73,1 60,1,47,0,20,0,204000,0.7,139,1,1,73,1 70,0,92,0,60,1,317000,0.8,140,0,1,74,0 42,0,102,1,40,0,237000,1.2,140,1,0,74,0 75,1,203,1,38,1,283000,0.6,131,1,1,74,0 55,0,336,0,45,1,324000,0.9,140,0,0,74,0 70,0,69,0,40,0,293000,1.7,136,0,0,75,0 67,0,582,0,50,0,263358.03,1.18,137,1,1,76,0 60,1,76,1,25,0,196000,2.5,132,0,0,77,1 79,1,55,0,50,1,172000,1.8,133,1,0,78,0 59,1,280,1,25,1,302000,1,141,0,0,78,1 51,0,78,0,50,0,406000,0.7,140,1,0,79,0 55,0,47,0,35,1,173000,1.1,137,1,0,79,0 65,1,68,1,60,1,304000,0.8,140,1,0,79,0 44,0,84,1,40,1,235000,0.7,139,1,0,79,0 57,1,115,0,25,1,181000,1.1,144,1,0,79,0 70,0,66,1,45,0,249000,0.8,136,1,1,80,0 60,0,897,1,45,0,297000,1,133,1,0,80,0 42,0,582,0,60,0,263358.03,1.18,137,0,0,82,0 60,1,154,0,25,0,210000,1.7,135,1,0,82,1 58,0,144,1,38,1,327000,0.7,142,0,0,83,0 58,1,133,0,60,1,219000,1,141,1,0,83,0 63,1,514,1,25,1,254000,1.3,134,1,0,83,0 70,1,59,0,60,0,255000,1.1,136,0,0,85,0 60,1,156,1,25,1,318000,1.2,137,0,0,85,0 63,1,61,1,40,0,221000,1.1,140,0,0,86,0 65,1,305,0,25,0,298000,1.1,141,1,0,87,0 75,0,582,0,45,1,263358.03,1.18,137,1,0,87,0 80,0,898,0,25,0,149000,1.1,144,1,1,87,0 42,0,5209,0,30,0,226000,1,140,1,1,87,0 60,0,53,0,50,1,286000,2.3,143,0,0,87,0 72,1,328,0,30,1,621000,1.7,138,0,1,88,1 55,0,748,0,45,0,263000,1.3,137,1,0,88,0 45,1,1876,1,35,0,226000,0.9,138,1,0,88,0 63,0,936,0,38,0,304000,1.1,133,1,1,88,0 45,0,292,1,35,0,850000,1.3,142,1,1,88,0 85,0,129,0,60,0,306000,1.2,132,1,1,90,1 55,0,60,0,35,0,228000,1.2,135,1,1,90,0 50,0,369,1,25,0,252000,1.6,136,1,0,90,0 70,1,143,0,60,0,351000,1.3,137,0,0,90,1 60,1,754,1,40,1,328000,1.2,126,1,0,91,0 58,1,400,0,40,0,164000,1,139,0,0,91,0 60,1,96,1,60,1,271000,0.7,136,0,0,94,0 85,1,102,0,60,0,507000,3.2,138,0,0,94,0 65,1,113,1,60,1,203000,0.9,140,0,0,94,0 86,0,582,0,38,0,263358.03,1.83,134,0,0,95,1 60,1,737,0,60,1,210000,1.5,135,1,1,95,0 66,1,68,1,38,1,162000,1,136,0,0,95,0 60,0,96,1,38,0,228000,0.75,140,0,0,95,0 60,1,582,0,30,1,127000,0.9,145,0,0,95,0 60,0,582,0,40,0,217000,3.7,134,1,0,96,1 43,1,358,0,50,0,237000,1.3,135,0,0,97,0 46,0,168,1,17,1,271000,2.1,124,0,0,100,1 58,1,200,1,60,0,300000,0.8,137,0,0,104,0 61,0,248,0,30,1,267000,0.7,136,1,1,104,0 53,1,270,1,35,0,227000,3.4,145,1,0,105,0 53,1,1808,0,60,1,249000,0.7,138,1,1,106,0 60,1,1082,1,45,0,250000,6.1,131,1,0,107,0 46,0,719,0,40,1,263358.03,1.18,137,0,0,107,0 63,0,193,0,60,1,295000,1.3,145,1,1,107,0 81,0,4540,0,35,0,231000,1.18,137,1,1,107,0 75,0,582,0,40,0,263358.03,1.18,137,1,0,107,0 65,1,59,1,60,0,172000,0.9,137,0,0,107,0 68,1,646,0,25,0,305000,2.1,130,1,0,108,0 62,0,281,1,35,0,221000,1,136,0,0,108,0 50,0,1548,0,30,1,211000,0.8,138,1,0,108,0 80,0,805,0,38,0,263358.03,1.1,134,1,0,109,1 46,1,291,0,35,0,348000,0.9,140,0,0,109,0 50,0,482,1,30,0,329000,0.9,132,0,0,109,0 61,1,84,0,40,1,229000,0.9,141,0,0,110,0 72,1,943,0,25,1,338000,1.7,139,1,1,111,1 50,0,185,0,30,0,266000,0.7,141,1,1,112,0 52,0,132,0,30,0,218000,0.7,136,1,1,112,0 64,0,1610,0,60,0,242000,1,137,1,0,113,0 75,1,582,0,30,0,225000,1.83,134,1,0,113,1 60,0,2261,0,35,1,228000,0.9,136,1,0,115,0 72,0,233,0,45,1,235000,2.5,135,0,0,115,1 62,0,30,1,60,1,244000,0.9,139,1,0,117,0 50,0,115,0,45,1,184000,0.9,134,1,1,118,0 50,0,1846,1,35,0,263358.03,1.18,137,1,1,119,0 65,1,335,0,35,1,235000,0.8,136,0,0,120,0 60,1,231,1,25,0,194000,1.7,140,1,0,120,0 52,1,58,0,35,0,277000,1.4,136,0,0,120,0 50,0,250,0,25,0,262000,1,136,1,1,120,0 85,1,910,0,50,0,235000,1.3,134,1,0,121,0 59,1,129,0,45,1,362000,1.1,139,1,1,121,0 66,1,72,0,40,1,242000,1.2,134,1,0,121,0 45,1,130,0,35,0,174000,0.8,139,1,1,121,0 63,1,582,0,40,0,448000,0.9,137,1,1,123,0 50,1,2334,1,35,0,75000,0.9,142,0,0,126,1 45,0,2442,1,30,0,334000,1.1,139,1,0,129,1 80,0,776,1,38,1,192000,1.3,135,0,0,130,1 53,0,196,0,60,0,220000,0.7,133,1,1,134,0 59,0,66,1,20,0,70000,2.4,134,1,0,135,1 65,0,582,1,40,0,270000,1,138,0,0,140,0 70,0,835,0,35,1,305000,0.8,133,0,0,145,0 51,1,582,1,35,0,263358.03,1.5,136,1,1,145,0 52,0,3966,0,40,0,325000,0.9,140,1,1,146,0 70,1,171,0,60,1,176000,1.1,145,1,1,146,0 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