Assignment 4 1. Use the attached dataset (or subset of it) to learn the following models: a. Support Vector Machine (SVM). Report the results of three different kernels. b. Nave Bayes 2- Predict the class of the dataset (or subset of it) and report Accuracy A Santander - Excel (Product Activation Failed) SIEF ADDEEN ALI FRAI File Home Insert Page Layout Formulas Data Review View Help Tell me what you want to do & Share Calibri - 11 A ab Wrap Text AYO FH Paste BIU- %-A - Merge & Center $ % 40 .00 .000 Insert Delete Format Sensitivity Conditional Format as Cell Formatting Table Styles Styles Sort & Find & Filter - Select - Editing Clipboard Font Alignment Number Cells Sensitivity A1 X f ID_code N A B C D E F G H J L M N o Q R S T U 1 ID_code target var_0 var_1 var_2 var 3 var_4 var_5 var_6 var_7 var_8 var_9 var_10 var 11 var_12 var_13 var_14 var_15 var 16 var_17 var_18 2 train_1242 0 11.9651 -3.0106 14.0456 9.6377 13.7533 -18.3171 4.7143 11.54 5.3902 7.3035 -1.8522 -6.1238 14.3241 7.9248 9.3942 14.0553 9.6564 -5.5594 13.4 3 train_1459 1 9.77 -4.649 13.2865 9.7933 11.6248 -15.7107 6.1788 17.7996 7.4516 6.323 3.4825 -11.3482 14.1122 11.5529 5.5266 14.7498 7.2797 -9.8049 29. 4 train_1509 0 13.7975 -2.9234 12.11 11.8663 8.1547 -7.2978 6.4264 17.8988 2.0313 5.2861 -0.0112 -13.9259 14.0087 12.6054 8.0339 14.4727 15.4944 -14.6945 27.1 5 train_1143 1 8.6295 -2.6947 12.4477 5.6792 13.3781 -4.574 4.7197 15.2055 1.854 7.2326 -3.1904 -9.0295 14.0555 8.3002 10.4188 14.1743 4.3176 0.8897 6.2 6 train_1927 1 11.6871 -0.8917 9.72 8.794 12.5646 1.3935 5.9104 16.6039 -1.3755 7.8093 11.115 -12.0374 13.9859 -1.4386 7.4076 14.2601 8.9724 -0.2307 7.2 7 train_1030 1 10.4473 -7.6771 15.5508 6.0425 12.8453 10.6245 6.7001 22.9481 0.6874 7.9543 -6.7376 0.4689 13.8412 3.7843 10.0398 14.9445 6.5844 4.7662 22.2 8 train_3079 1 10.491 2.9024 12.1861 7.6879 9.0888 13.4503 4.4352 20.3795 1.7265 6.1066 1.1657 -8.5818 13.9632 13.1405 8.2052 15.0221 10.9189 -10.5643 12.3 9 train_4570 1 10.3435 0.1356 10.1076 7.9515 11.0683 0.0035 5.3626 16.43 6.4743 6.7891 0.7535 -5.552 13.984 17.2386 6.168 14.3433 6.4564 -0.4001 11.6 10 train_3309 1 7.3567 -5.9091 7.4505 5.8609 11.625 -9.2783 4.2398 17.3725 4.7363 7.7737 6.5579 -4.2983 13.9665 1.1661 5.5431 15.2345 6.3677 0.6052 14.9 11 train_1959 0 12.7699 -0.3137 14.4247 10.5093 11.9134 1.274 4.3528 11.6839 4.6174 6.5175 -6.0392 -16.8723 13.7622 8.4943 10.9548 14.7439 15.3913 -5.7037 12.7 12 train_2790 1 13.8939 1.032 14.2521 4.4919 12.2742 15.0548 4.6767 14.5573 -5.112 8.6733 3.6318 1.9634 13.8446 5.4734 5.9445 15.272 5.2958 4.7692 13.2 13 train_4315 1 9.2646 2.4127 7.9134 4.9121 11.206 -8.8135 4.9613 23.994 1.7292 7.3081 6.6098 0.867 13.5926 11.2903 6.2528 15.4895 10.2406 5.9271 -0.7 14 train_5811 0 11.8605 0.9841 8.0547 8.6273 11.2438 -19.3918 5.4643 15.7303 -6.478 9.282 -8.645 -0.6034 13.5548 7.6455 7.5052 13.9893 11.1417 -4.8073 4.8 15 train_1092 0 16.2208 -9.1238 7.3491 8.6864 11.8417 -5.3932 4.45 13.8087 -1.5856 7.1243 0.8278 -5.7894 14.1991 14.7801 7.2794 14.4159 7.5073 3.7529 7.2 16 train_7933 1 13.6074 -5.5441 8.002 8.8663 10.3024 -7.8636 7.6158 12.9219 -2.5275 6.4747 -6.0174 3.7181 14.2633 4.3846 6.901 14.8705 6.1143 -7.4364 29.7 17 train_8661 0 6.4213 -8.3081 7.4824 8.6741 9.2778 5.4188 4.4814 15.4434 -0.7575 7.2952 1.4457 -4.5134 13.8767 10.393 6.3698 15.1729 8.4782 -19.7838 17.7 18 train_480 0 9.6658 7.8315 14.847 7.9893 7.4095 -13.7466 4.9455 22.4118 4.3834 9.1674 2.3331 -12.3632 13.9259 2.4814 6.8783 14.6049 7.8612 -8.4012 -0.6 19 train_183 0 17.8794 -3.4444 12.6886 5.8674 12.62 -2.3835 4.8368 14.3263 0.0378 8.1117 1.4214 0.2846 13.7135 4.8639 8.1825 15.1242 9.209 -2.4156 12.8 20 train_1249 0 13.5256 -1.4493 11.0455 4.7513 13.1332 -6.9634 5.0661 16.2509 5.6491 7.2697 - 1.3339 -17.4687 14.0349 12.7152 7.5864 15.1218 8.4331 -9.0809 24.1 21 train_1771 0 12.0845 -5.8434 8.4592 9.1993 10.2117 -3.4546 4.1987 19.6655 -2.3738 6.6076 -7.644 -3.4497 13.7686 1.1002 7.3768 15.151 7.8878 -2.7717 11.5 22 train_1318 1 11.6496 -3.4912 7.8364 7.9888 11.1618 7.4427 6.2638 15.1658 - 1.0133 5.713 -4.0041 0.1442 13.9629 8.3002 9.3046 13.9662 8.4901 -2.5152 15.& 23 train 1116 0 7.1644 -3.0732 8.2668 10.5994 12.8019 3.0492 4.2439 18.1515 0.2304 9.1059 3.6349 -6.4391 14.0531 12.7116 10.2665 13.8189 -6.58 16.& Santander Go to Settings to activate Windows. 9.3040 a 13:3602 8.4997 @ + 100% o Type here to search E 2:19 PM 1/7/2021