Question: Experiment Class Feature 1 Feature 2 Feature 3 Feature 4 Feature 5 Feature 6 Feature 7 Feature 8 Feature 9 Feature 10 Feature 11 Feature
Experiment Class Feature 1 Feature 2 Feature 3 Feature 4 Feature 5 Feature 6 Feature 7 Feature 8 Feature 9 Feature 10 Feature 11 Feature 12 2 1 0 0.992318256 0.995855247 0.058823529 0 0.047486241 0 0 0 0.631456475 0.433881488 0.062780269 3 1 0 0.993045116 0.996339941 0.176470588 0.062343861 0.06913899 0.037509308 0.040898687 0.037657538 0.596538245 0.458566777 0.02690583 4 1 0 0.992313293 0.995740277 0.117647059 0.042432604 0.038115425 0.035461653 0.034544031 0.032676311 0.642719078 0.345509795 0.035874439 5 1 0 0.99163086 0 0.058823529 0.036988702 0.007127835 0.026939612 0.020810746 0.018679834 0.655089292 0.377827157 0.031390135 6 1 0 0.988972836 0.994404731 0.176470588 0.016741862 0.000701218 0.021965748 0.021985303 0.018515296 0.63232953 0.436957807 0.02690583 7 1 0 0.992379089 0.995895813 0.176470588 0.043700362 0.015118676 0.037137007 0.032104566 0.030749494 0.671717625 0.435965827 0.02690583 8 1 0 0.991314581 0.995185965 0.058823529 0.03676498 0 0.017125838 0.015329478 0.013895366 0.631212057 0.420823289 0.031390135 9 1 0 0.99077198 0.994824142 0 0.052425519 0.040755615 0.017684289 0.015901699 0.014787325 0.628848598 0.312343901 0.049327354 10 1 0 0.990570758 0.994689961 0 0.017040158 0.058418861 0.027084885 0.025719793 0.023063895 0.651622735 0.336705498 0.040358744 11 1 0.153846154 0.993317868 0.99652182 0.117647059 0.19799396 0.068825567 0.152922562 0.158324298 0.153864965 0.625469186 0.306878126 0.044843049 12 1 0.153846154 0.993185261 0.996544897 0.058823529 0.126141914 0.066472238 0.113272524 0.114142874 0.110683347 0.653602773 0.330195934 0.004484305 13 1 0.153846154 0.992981107 0.996297257 0.117647059 0.051344196 0.046572534 0.117647059 0.110799904 0.109045544 0.768293094 0.435753717 0.071748879 14 1 0.153846154 0.992473204 0.99606843 0.176470588 0.165591558 0.04691783 0.121370067 0.125496928 0.120221973 0.639655193 0.468566215 0.058295964 15 1 0.153846154 0.993118249 0.996388708 0.176470588 0.223386405 0.040160643 0.14305659 0.149861462 0.14396689 0.574924586 0.392303333 0.01793722 16 1 0.153846154 0.993186718 0.996434365 0.176470588 0.107610276 0.048176834 0.117833209 0.113149018 0.109774611 0.721329882 0.379578684 0.076233184 17 1 0.153846154 0.99226294 0.995707727 0.058823529 0.114620232 0.051703665 0.125797428 0.120256596 0.119202979 0.636606943 0.400131806 0.058295964 18 1 0.153846154 0.993587577 0.996590407 0.117647059 0.089227786 0.061818703 0.101638124 0.101403445 0.099022668 0.663256832 0.48277613 0.062780269 19 1 0.153846154 0.989854381 0.994656854 0.117647059 0.174167568 0.100614097 0.102661951 0.111131189 0.105940934 0.54047535 0.309923108 0.044843049 20 1 0.153846154 0.992458151 0.996059437 0.176470588 0.102874828 0.092459786 0.12248697 0.125165643 0.120422105 0.676142299 0.525023163 0.067264574 21 3 0.307692308 0.996736658 0.998910624 0.176470588 0.487303777 0.139207624 0.335722263 0.357215998 0.353778937 0.316791157 0.621931718 0.02690583 22 1 0.307692308 0.995902503 0.998245337 0.176470588 0.385472986 0.148079089 0.320551005 0.335742682 0.333862759 0.456364893 0.624336243 0.067264574 23 3 0.307692308 0.996209613 0.99834127 0.235294118 0.415153436 0.223614033 0.352196575 0.366461872 0.364254341 0.445683501 0.462006611 0.035874439 24 3 0.307692308 0.995401436 0.997911209 0.117647059 0.479846378 0.109382749 0.301211487 0.324810264 0.31902377 0.177295126 0.344529344 0.035874439 25 3 0.307692308 0.995906798 0.9982482 0.411764706 0.545322346 0.276221287 0.374720774 0.395584869 0.391739052 0.31655122 0.384297124 0.040358744 26 3 0.307692308 0.995370092 0.997999945 0.235294118 0.473209292 0.133985678 0.33637379 0.36236598 0.358166203 0.319767648 0.590765703 0.022421525 27 3 0.307692308 0.995464766 0.998065371 0.058823529 0.404526642 0.063120206 0.323901713 0.336736538 0.334193652 0.442519298 0.379241336 0.035874439 28 3 0.307692308 0.994648706 0.997519279 0.352941176 0.431074984 0.171357387 0.34298213 0.354927117 0.352987104 0.466016219 0.346592409 0.053811659 29 3 0.307692308 0.996341484 0.997993473 0.411764706 0.504120213 0.335548543 0.374906925 0.401879292 0.397760995 0.318056167 0.556699936 0.071748879 30 1 0.307692308 0.996341484 0.997993473 0.235294118 0.504120213 0.335548543 0.374906925 0.401879292 0.397760995 0.318056167 0.556699936 0.071748879 31 3 0.461538462 0.99472101 0.997568547 0.235294118 0.613632126 0.417691932 0.382073716 0.424436815 0.416116817 0 0.573943286 0.031390135 32 3 0.461538462 0.994991548 0.997637882 0.294117647 0.540437749 0.112370115 0.414463887 0.436031803 0.431808421 0.288918878 0.353624338 0.053811659 33 3 0.461538462 0.994588441 0.997480287 0.294117647 0.556844029 0.142549032 0.40701787 0.437296711 0.432055442 0.169642213 0.500517963 0.035874439 34 3 0.461538462 0.994789995 0.997503481 0.235294118 0.505537119 0.137305837 0.387192852 0.409468739 0.405386772 0.31308274 0.628419496 0.031390135 35 3 0.461538462 0.994654567 0.997302073 0.411764706 0.605242552 0.111605151 0.460908414 0.480213227 0.476044329 0.386900758 0.495568079 0.01793722 36 3 0.461538462 0.994255066 0.997035472 0.352941176 0.486297028 0.084289539 0.356850335 0.378327912 0.373541083 0.304627753 0.287577955 0.013452915 37 3 0.461538462 0.994121476 0.997057692 0.294117647 0.427980163 0.072719449 0.28844006 0.307222021 0.302855479 0.376834542 0.320823183 0.040358744 38 3 0.461538462 0.994254731 0.99714655 0.294117647 0.417278795 0.098930112 0.360759494 0.379803638 0.376231803 0.422818766 0.289409654 0.040358744 39 3 0.461538462 0.994786679 0.99750127 0.235294118 0.612327082 0.107560086 0.44785839 0.467503915 0.461717912 0.221432509 0.571908598 0.02690583 40 3 0.461538462 0.994720788 0.997346301 0.294117647 0.553488199 0.256475638 0.435033507 0.460065052 0.456949304 0.296064063 0.426765206 0.035874439 41 3 0.615384615 0.995721204 0.998235563 0.294117647 0.738730005 0.210089033 0.55919583 0.58336345 0.580942826 0.231042817 0.248936379 0.040358744 42 3 0.615384615 0.996351787 0.998207053 0.470588235 0.768112159 0.296333482 0.556031273 0.590711962 0.587390415 0.184018301 0.340142103 0.053811659 43 3 0.615384615 0.995050965 0.997788219 0.352941176 0.598158022 0.150735216 0.508469844 0.524003132 0.523148491 0.329801938 0.409565711 0.035874439 44 3 0.615384615 0.99578676 0.998168155 0.470588235 0.679070808 0.188175984 0.536578555 0.562492471 0.561386643 0.273788816 0.180232886 0.049327354 45 3 0.615384615 0.995465955 0.997842206 0.470588235 0.705171707 0.162353062 0.556742544 0.579147091 0.576098244 0.140476372 0.166467607 0.040358744 46 3 0.615384615 0.99492373 0.99759266 0.470588235 0.709608859 0.224495867 0.539929263 0.556438983 0.555081018 0.330761807 0.282777281 0.01793722 47 3 0.615384615 0.995192018 0.99766004 0.411764706 0.747380589 0.213159516 0.574367089 0.599024214 0.596881014 0.231723429 0.310054467 0.040358744 48 3 0.615384615 0.995196619 0.997550684 0.470588235 0.767925724 0.2029653 0.550353686 0.577069028 0.572723861 0.25574074 0.719123117 0.02690583 49 3 0.615384615 0.994921839 0.997702589 0.411764706 0.74488236 0.181535666 0.57278481 0.587248524 0.585423692 0.378755405 0.637138165 0.031390135 50 3 0.615384615 0.994915785 0.997145708 0.529411765 0.789850479 0.187830688 0.562918838 0.58604385 0.582142309 0.275413463 0.692976521 0.02690583 51 3 0.769230769 0.996348287 0.998317689 0.647058824 0.834408442 0.506707209 0.690083466 0.701481749 0.70176192 0.285856229 0.048251689 0.049327354 52 3 0.769230769 0.996321043 0.998524432 0.470588235 0.81654797 0.367969231 0.629932986 0.643747741 0.643561451 0.389002895 0.150262852 0.013452915 53 2 0.769230769 0.995326537 0.997749678 0.529411765 0.883403557 0.337089097 0.635145197 0.668021925 0.667560007 0.118447175 0.087713302 0.049327354 54 2 0.769230769 0.995391272 0.997570224 0.647058824 0.766135949 0.213961667 0.617553984 0.634080231 0.631785508 0.394214656 0.544312217 0.022421525 55 2 0.769230769 0.994652468 0.997411773 0.764705882 0.901301316 0.381791717 0.683730454 0.716901578 0.714287087 0.224648524 0.12478335 0.049327354 56 3 0.769230769 0.99518443 0.997655725 0.588235294 0.909840039 0.299186163 0.638123604 0.671334779 0.668614709 0.138867492 0.55193419 0 57 2 0.769230769 0.994524232 0.997214458 0.588235294 0.679406391 0.197711481 0.562174237 0.580773401 0.577266055 0.384390489 0.379579286 0.040358744 58 2 0.769230769 0.994591587 0.997371176 0.705882353 0.834035572 0.301751981 0.676470588 0.698530298 0.697570423 0.29404149 0.21225466 0.013452915 59 2 0.769230769 0.994732111 0.997464882 0.529411765 0.645661658 0.267907609 0.567479523 0.569630165 0.570207034 0.522254193 0.678881692 0.02690583 60 2 0.769230769 0.995057483 0.99757041 0.529411765 0.773183191 0.387072098 0.683172003 0.685640284 0.688900806 0.519705646 0.145170115 0.040358744 61 2 1 1 0.001620578 1 1 0.780391407 0.994601638 0.990151789 0.997692302 0.711232643 0.818020424 0.183856502 62 2 1 0.999225794 0.001490919 0.764705882 0.947499907 0.789427551 0.947226359 0.943741718 0.946916196 0.761404111 0.933674865 0.735426009 63 2 1 0.997606982 0.001277138 0.647058824 0.86535665 0.53890695 0.830416977 0.81565474 0.820408365 0.779233046 0.220164799 0.977578475 64 2 1 0.998533848 1 0.647058824 0.926022596 0.984105735 0.907204021 0.893536923 0.900026597 0.818494237 0 0.946188341 65 3 1 0.998803486 0.001476721 0.647058824 0.865915955 1 0.90022338 0.87155162 0.878730793 0.98642426 0.027444497 0.986547085 66 2 1 0.999374004 0.001627581 0.823529412 0.866027816 0.763849047 0.978685778 0.951843151 0.958924296 1 0.453718702 0.825112108 67 2 1 0 0.334146124 0.882352941 0.908721429 0.721228831 1 1 1 0.829727541 0.877167766 0.286995516 68 2 1 0.997266464 0.001276237 1 0.946455871 0.771169333 0.97943038 0.991356463 0.990157573 0.692040337 0.225267975 0.192825112 69 2 1 0.996529537 0.001153386 0.647058824 0.908907864 0.563417692 0.889985108 0.908474883 0.898374195 0.63566112 1 1 70 2 1 0.99732415 0.001230239 0.941176471 0.936388382 0.776460339 0.986317945 0.973497169 0.978908323 0.911963874 0.013801634 0.834080717
Feature selection : Select a subset of features to use in your classifiers. Describe
the procedure or method you use and explain your reasoning. Note: you may select different
subsets of features for each classifier.
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