Running Experiment 0 ... Experiment 0 Trained Neural Network [{'weights': [0.5650733125052968, 1.7457408420686726, -2.661582390429661, -3.1758115820691977, 2.251201236257394], 'output': 0.44992629321369804, 'delta': 0.00015059850254270612}, {'weights': [1.1298304899860103, 0.9969604046181912, -3.455681624976521, -4.258588841231569, 4.197629198452172], 'output': 0.6598322141098754, 'delta': -3.440932762744169e-05}, {'weights': [0.2158793544222888, 0.9608906019712339, 0.05988742439016846, 0.19592585173015856, 0.7141946477984918], 'output': 0.7902033060669008, 'delta': 0.00025002949399464074}, {'weights': [-2.1065164785290564, -4.533198675189824, 8.52401088068582, 9.362028346877954, -9.29781779565578], 'output': 0.16323386377138585, 'delta': 5.626137683448891e-07}, {'weights': [2.5383941538710455, -3.5767188709798576, 5.860506670671395, 6.152378698684981, -2.5117362328564923], 'output': 0.9881553393809039, 'delta': -0.0009783463884382403}, {'weights': [-0.18585264506466825, -0.29317688647820184, 1.5761813244564868, 1.1852914781441914, -1.432668215936785], 'output': 0.49873742970714935, 'delta': 9.332951692189278e-06}, {'weights': [0.17748929718157322, -1.052935825819566, 2.081108304409076, 1.5021934293156325, -1.4133044125754073], 'output': 0.5985385035711576, 'delta': -0.00016011885890592485}, {'weights': [-0.009043059073498195, 1.182638276234831, -0.5247720532826706, -0.07637737899632786, 0.9732335350882626], 'output': 0.7391848180390036, 'delta': 0.00032479941233010996}] [{'weights': [3.0550564958886337, 0.9809499743046648, 0.018197821481103077, -2.5538157965609005, -6.096312812696975, -1.7276068043310309, -2.100844306045799, 0.2714035640159832, 1.0269598987679152], 'output': 0.004985310803879492, 'delta': 0.0004948883730329326}, {'weights': [-0.7138915834395244, 2.2233498598044275, -1.6656862112075328, -11.311563274014363, 10.138011102321393, -0.96404946769476, 0.04485221489308637, -2.392063742815362, -2.2633615016074717], 'output': 0.9711286068452484, 'delta': -0.0009426470907562469}, {'weights': [-5.406385315923908, -5.655734781351118, -0.3489068741014822, 8.9958457473302, 2.606136896821293, 1.4963177311135896, 2.235921530682377, -1.5420921249989328, -2.987817987110129], 'output': 0.011664434998066502, 'delta': -5.277305514276561e-13}] Experiment 0 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.333333 0.166667 0.474576 ... Iris-versicolor Iris-versicolor Yes 1 0.527778 0.583333 0.745763 ... Iris-virginica Iris-virginica Yes 2 0.750000 0.500000 0.627119 ... Iris-versicolor Iris-versicolor Yes 3 0.500000 0.416667 0.610169 ... Iris-versicolor Iris-versicolor Yes 4 0.166667 0.166667 0.389831 ... Iris-versicolor Iris-versicolor Yes 5 0.388889 1.000000 0.084746 ... Iris-setosa Iris-setosa Yes 6 0.222222 0.750000 0.152542 ... Iris-setosa Iris-setosa Yes 7 0.500000 0.333333 0.627119 ... Iris-versicolor Iris-versicolor Yes 8 0.388889 0.375000 0.542373 ... Iris-versicolor Iris-versicolor Yes 9 0.361111 0.333333 0.661017 ... Iris-virginica Iris-virginica Yes 10 0.527778 0.083333 0.593220 ... Iris-versicolor Iris-versicolor Yes 11 0.194444 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 12 0.944444 0.250000 1.000000 ... Iris-virginica Iris-virginica Yes 13 0.000000 0.416667 0.016949 ... Iris-setosa Iris-setosa Yes 14 0.194444 0.416667 0.101695 ... Iris-setosa Iris-setosa Yes 15 0.805556 0.416667 0.813559 ... Iris-virginica Iris-virginica Yes 16 0.694444 0.416667 0.762712 ... Iris-virginica Iris-virginica Yes 17 0.472222 0.375000 0.593220 ... Iris-versicolor Iris-versicolor Yes 18 0.194444 0.541667 0.067797 ... Iris-setosa Iris-setosa Yes 19 0.555556 0.333333 0.694915 ... Iris-virginica Iris-versicolor No 20 0.944444 0.750000 0.966102 ... Iris-virginica Iris-virginica Yes 21 0.583333 0.333333 0.779661 ... Iris-virginica Iris-virginica Yes 22 0.388889 0.750000 0.118644 ... Iris-setosa Iris-setosa Yes 23 0.166667 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.666667 0.541667 0.796610 ... Iris-virginica Iris-virginica Yes 25 0.555556 0.583333 0.779661 ... Iris-virginica Iris-virginica Yes 26 0.194444 0.500000 0.033898 ... Iris-setosa Iris-setosa Yes 27 0.305556 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 28 0.555556 0.125000 0.576271 ... Iris-versicolor Iris-versicolor Yes 29 0.500000 0.375000 0.627119 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 1 ... Experiment 1 Trained Neural Network [{'weights': [1.2491832651019652, 1.9950854907894502, -6.036604015346201, -4.78722758039024, 5.851000580518099], 'output': 0.15634071362084243, 'delta': -8.391224007967821e-06}, {'weights': [-1.0813922252708212, -2.489613821179053, 7.345668561158679, 5.29790801266626, -7.067434555456258], 'output': 0.8691935844037014, 'delta': 5.197537392217749e-06}, {'weights': [-0.378970493099219, 0.8533226464762469, 0.4031404243032927, 0.5245906930332478, 1.1632379856363086], 'output': 0.8949575465495632, 'delta': 0.0002499241239200999}, {'weights': [-0.21575896106240833, 0.8684492865712927, -2.617034526837604, -2.255276005936784, 1.449237864255674], 'output': 0.07535665862092243, 'delta': 0.00043184644572224004}, {'weights': [-0.36588470084427105, 1.8905470733241547, 0.3061097044712056, 0.6609359231938746, 1.173812385257886], 'output': 0.9384906650044584, 'delta': 0.00020994000850575026}, {'weights': [1.1748214590885253, 1.5928996620925315, -4.543670340977879, -3.687797340749664, 4.200526106433767], 'output': 0.20731057853562407, 'delta': -9.619405343923007e-06}, {'weights': [3.3162782890754077, -3.884424655463499, 6.156543996411083, 6.59083627328604, -2.757019638495957], 'output': 0.9998428890118501, 'delta': -0.0008891505794149831}, {'weights': [-0.9856919111070558, 0.43359094801663195, 2.8645806619846708, 1.6794184096257327, -2.559436627112668], 'output': 0.7091740421482114, 'delta': 0.000206446915436165}] [{'weights': [1.5896754210586712, -2.2325200529913127, -0.7807967604397693, 2.2800198003326266, -0.44974566769900637, 2.09680404074859, -6.4967443428307625, -1.1233827508993721, 0.0192615488377145], 'output': 7.63997432990197e-05, 'delta': 0.0005522162242357828}, {'weights': [4.156741997565464, -8.18351703094734, -2.9228399654110144, -1.418725108227675, -3.7371407888539236, 2.169271403884314, 11.405131710173002, -2.826271406384727, -3.183529237012523], 'output': 0.0024045450785320213, 'delta': -0.0008366526881570085}, {'weights': [-6.795048657207475, 5.398152986539963, 0.5525809649960478, -3.5602684016541852, 0.4521990897886222, -5.623311407425464, 3.2295782325308497, 2.9259629913575775, -1.327762691098756], 'output': 0.999168029772746, 'delta': -1.2518546408114996e-13}] Experiment 1 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.361111 0.208333 0.491525 ... Iris-versicolor Iris-versicolor Yes 1 0.416667 0.833333 0.033898 ... Iris-setosa Iris-setosa Yes 2 0.194444 0.666667 0.067797 ... Iris-setosa Iris-setosa Yes 3 0.555556 0.541667 0.627119 ... Iris-versicolor Iris-versicolor Yes 4 0.388889 0.333333 0.525424 ... Iris-versicolor Iris-versicolor Yes 5 0.111111 0.500000 0.101695 ... Iris-setosa Iris-setosa Yes 6 0.416667 0.291667 0.491525 ... Iris-versicolor Iris-versicolor Yes 7 0.722222 0.500000 0.796610 ... Iris-virginica Iris-virginica Yes 8 0.555556 0.375000 0.779661 ... Iris-virginica Iris-virginica Yes 9 0.611111 0.416667 0.813559 ... Iris-virginica Iris-virginica Yes 10 0.083333 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 11 0.250000 0.291667 0.491525 ... Iris-versicolor Iris-versicolor Yes 12 0.416667 0.291667 0.694915 ... Iris-virginica Iris-virginica Yes 13 0.222222 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 14 0.138889 0.583333 0.101695 ... Iris-setosa Iris-setosa Yes 15 0.222222 0.541667 0.118644 ... Iris-setosa Iris-setosa Yes 16 0.722222 0.458333 0.661017 ... Iris-versicolor Iris-versicolor Yes 17 0.555556 0.291667 0.661017 ... Iris-virginica Iris-virginica Yes 18 0.583333 0.375000 0.559322 ... Iris-versicolor Iris-versicolor Yes 19 0.388889 0.208333 0.677966 ... Iris-virginica Iris-virginica Yes 20 0.194444 0.625000 0.050847 ... Iris-setosa Iris-setosa Yes 21 0.222222 0.583333 0.084746 ... Iris-setosa Iris-setosa Yes 22 0.444444 0.416667 0.694915 ... Iris-virginica Iris-virginica Yes 23 0.638889 0.416667 0.576271 ... Iris-versicolor Iris-versicolor Yes 24 0.694444 0.333333 0.644068 ... Iris-versicolor Iris-versicolor Yes 25 0.416667 0.291667 0.694915 ... Iris-virginica Iris-virginica Yes 26 0.388889 0.416667 0.542373 ... Iris-versicolor Iris-versicolor Yes 27 0.138889 0.583333 0.152542 ... Iris-setosa Iris-setosa Yes 28 0.916667 0.416667 0.949153 ... Iris-virginica Iris-virginica Yes 29 0.694444 0.500000 0.830508 ... Iris-virginica Iris-virginica Yes [30 rows x 7 columns] Running Experiment 2 ... Experiment 2 Trained Neural Network [{'weights': [2.431640403113121, -2.4195297034426626, 4.42455744435294, 4.851883334330254, -2.0204774503965095], 'output': 0.882315956679684, 'delta': -0.0012115179492469415}, {'weights': [1.5918490424545444, -0.9197132456480206, 1.9715068498233168, 1.7153990742567893, -0.30410650986700494], 'output': 0.826880273316532, 'delta': -0.000572433304289058}, {'weights': [-1.9038512024316177, -4.02355331477659, 11.291965852792764, 6.977747902084211, -9.694389846248045], 'output': 0.017305430643577743, 'delta': 5.370500802885907e-07}, {'weights': [1.1948225004098445, -1.1255958998514188, 1.739484454595159, 2.094929048463096, -0.5393784469731162], 'output': 0.7625197323133486, 'delta': -0.0005821291808587747}, {'weights': [2.198267264668606, -1.7213121873094808, 2.828100262827213, 2.50285951559378, -0.7634615623392589], 'output': 0.8579067638763174, 'delta': -0.0009594702231800003}, {'weights': [1.0047851056979973, 1.3172807510598203, -3.7544946010364, -2.5494028518346523, 2.876920341173162], 'output': 0.7407896235778998, 'delta': 7.306061646700449e-05}, {'weights': [-0.1666620354472169, 1.0137320172672786, -2.715574569530884, -2.468678078569032, 1.4308979613247321], 'output': 0.3877206520037265, 'delta': 0.0006349911728587903}, {'weights': [0.33557551725412665, 2.9646629166220446, 0.09144209175124972, 0.6575704294595969, 0.5270613271943773], 'output': 0.8434419493374682, 'delta': 0.00028066794086325115}] [{'weights': [-4.245646930599161, -1.3288354333930033, -2.6461314588230196, -2.3003851060336795, -2.146134187834523, 3.1879427859082425, 2.5066343034630605, 1.2272091237700211, 0.6568686107257956], 'output': 0.030459117549718872, 'delta': 0.0005478498818194015}, {'weights': [5.985381386228908, 1.4752856423042269, -12.293835611470449, 1.0969335483287952, 2.8539933179697012, 0.14579764912141355, -2.1518221003349134, -3.454509650731569, -1.820618880301497], 'output': 0.9838956101906571, 'delta': -0.0010585985868905886}, {'weights': [2.605392047683936, -0.2857174342122763, 9.488591583120936, 0.5785952596389239, -0.3697282328506402, -5.847079114807995, -4.058236066564735, -0.5267020434580292, -3.336291892229528], 'output': 0.0006520578650087819, 'delta': -2.8436191490933635e-11}] Experiment 2 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.305556 0.791667 0.118644 ... Iris-setosa Iris-setosa Yes 1 0.472222 0.083333 0.677966 ... Iris-virginica Iris-virginica Yes 2 0.083333 0.583333 0.067797 ... Iris-setosa Iris-setosa Yes 3 0.472222 0.291667 0.694915 ... Iris-versicolor Iris-virginica No 4 0.333333 0.625000 0.050847 ... Iris-setosa Iris-setosa Yes 5 0.333333 0.125000 0.508475 ... Iris-versicolor Iris-versicolor Yes 6 0.138889 0.458333 0.101695 ... Iris-setosa Iris-setosa Yes 7 0.361111 0.416667 0.593220 ... Iris-versicolor Iris-versicolor Yes 8 0.138889 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 9 0.250000 0.875000 0.084746 ... Iris-setosa Iris-setosa Yes 10 0.083333 0.500000 0.067797 ... Iris-setosa Iris-setosa Yes 11 0.555556 0.208333 0.677966 ... Iris-virginica Iris-virginica Yes 12 0.138889 0.416667 0.067797 ... Iris-setosa Iris-setosa Yes 13 0.583333 0.458333 0.762712 ... Iris-virginica Iris-virginica Yes 14 0.472222 0.583333 0.593220 ... Iris-versicolor Iris-versicolor Yes 15 0.305556 0.416667 0.593220 ... Iris-versicolor Iris-versicolor Yes 16 0.555556 0.208333 0.661017 ... Iris-versicolor Iris-virginica No 17 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 18 0.611111 0.416667 0.762712 ... Iris-virginica Iris-virginica Yes 19 0.500000 0.250000 0.779661 ... Iris-virginica Iris-virginica Yes 20 0.583333 0.500000 0.728814 ... Iris-virginica Iris-virginica Yes 21 0.666667 0.208333 0.813559 ... Iris-virginica Iris-virginica Yes 22 0.472222 0.416667 0.644068 ... Iris-virginica Iris-virginica Yes 23 0.250000 0.583333 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.416667 0.291667 0.525424 ... Iris-versicolor Iris-versicolor Yes 25 0.194444 0.125000 0.389831 ... Iris-versicolor Iris-versicolor Yes 26 0.777778 0.416667 0.830508 ... Iris-virginica Iris-virginica Yes 27 0.500000 0.333333 0.508475 ... Iris-versicolor Iris-versicolor Yes 28 0.833333 0.375000 0.898305 ... Iris-virginica Iris-virginica Yes 29 0.388889 0.250000 0.423729 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 3 ... Experiment 3 Trained Neural Network [{'weights': [0.5020716453544786, 0.20826758662660508, 1.249184956417794, 1.052375442718908, 1.092790021721189], 'output': 0.9271296088463853, 'delta': -0.00015407899140571467}, {'weights': [0.3209626297766766, 0.5176802549857235, -0.2706213957013808, -0.31401923856315084, 1.043932054065561], 'output': 0.7457997537469049, 'delta': 2.9062951947652142e-05}, {'weights': [-2.0078647263088127, 3.645663960139947, -4.762904644248901, -5.083625980678938, 1.5269558588873133], 'output': 0.061604541638684694, 'delta': 0.0009458127922223456}, {'weights': [-0.3532246389189343, 0.5537615658390098, -1.9755125337627568, -0.6977632649848765, 1.3440911991778641], 'output': 0.515097671213572, 'delta': 7.875361078239138e-05}, {'weights': [0.14508585252257764, 0.44861895453502837, -1.779382011553752, -1.9805991852125844, 1.9619398483933435], 'output': 0.5685720207656567, 'delta': -1.8548397661465384e-05}, {'weights': [0.12898940670985654, -2.544977709499983, 10.447410250611224, 7.364489368010011, -10.944769509977657], 'output': 0.05802878989855088, 'delta': 3.341603036887084e-07}, {'weights': [0.5218217569848735, 0.8785442687688837, -0.16783034775376593, -0.12987082166802064, -0.1210826702395215], 'output': 0.5696186972024696, 'delta': 0.00013067545764963622}, {'weights': [1.1152713817990418, -1.7155213089038295, 4.113283856494802, 4.12297803951417, -1.8049069879912583], 'output': 0.8914593726462375, 'delta': -0.0009343603746076811}] [{'weights': [-1.0759162151918147, -0.029160618824032987, 4.59220509527432, 0.779755088828431, 0.8884765088738006, -3.9490107542199704, 0.1580884955543896, -5.309418300406241, 0.2997926764629882], 'output': 0.012104587266852634, 'delta': 0.0005238032907618367}, {'weights': [0.7594348937454499, -0.24701008017369078, -7.4424595317061915, -0.06832209473654799, 0.7794502988095345, -11.361627920233852, -0.6071486116290662, 3.924476129175261, 1.4548873329047478], 'output': 0.9880808706664972, 'delta': -0.0007763135581397764}, {'weights': [-1.4691674970337734, -1.6764591231550894, -3.117303309353672, -2.9256487054046065, -3.309638680979159, 10.067707307288032, -0.6628388097184454, 3.828584475056837, -3.187709418838722], 'output': 0.0031373180167569127, 'delta': -3.636861715390636e-12}] Experiment 3 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.333333 0.250000 0.576271 ... Iris-versicolor Iris-versicolor Yes 1 0.333333 0.208333 0.508475 ... Iris-versicolor Iris-versicolor Yes 2 0.666667 0.458333 0.779661 ... Iris-virginica Iris-virginica Yes 3 0.305556 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 4 0.722222 0.458333 0.694915 ... Iris-virginica Iris-virginica Yes 5 0.527778 0.333333 0.644068 ... Iris-virginica Iris-virginica Yes 6 0.944444 0.416667 0.864407 ... Iris-virginica Iris-virginica Yes 7 0.250000 0.625000 0.084746 ... Iris-setosa Iris-setosa Yes 8 0.666667 0.416667 0.677966 ... Iris-versicolor Iris-virginica No 9 0.611111 0.416667 0.711864 ... Iris-virginica Iris-virginica Yes 10 0.305556 0.791667 0.050847 ... Iris-setosa Iris-setosa Yes 11 0.527778 0.375000 0.559322 ... Iris-versicolor Iris-versicolor Yes 12 0.583333 0.291667 0.728814 ... Iris-virginica Iris-virginica Yes 13 0.500000 0.416667 0.661017 ... Iris-virginica Iris-virginica Yes 14 0.222222 0.750000 0.084746 ... Iris-setosa Iris-setosa Yes 15 0.194444 0.000000 0.423729 ... Iris-versicolor Iris-versicolor Yes 16 0.944444 0.333333 0.966102 ... Iris-virginica Iris-virginica Yes 17 0.666667 0.458333 0.627119 ... Iris-versicolor Iris-versicolor Yes 18 0.027778 0.416667 0.050847 ... Iris-setosa Iris-setosa Yes 19 0.583333 0.500000 0.593220 ... Iris-versicolor Iris-versicolor Yes 20 0.166667 0.208333 0.593220 ... Iris-virginica Iris-versicolor No 21 0.111111 0.500000 0.050847 ... Iris-setosa Iris-setosa Yes 22 0.416667 0.333333 0.694915 ... Iris-virginica Iris-virginica Yes 23 0.333333 0.916667 0.067797 ... Iris-setosa Iris-setosa Yes 24 0.416667 0.250000 0.508475 ... Iris-versicolor Iris-versicolor Yes 25 0.027778 0.375000 0.067797 ... Iris-setosa Iris-setosa Yes 26 0.222222 0.750000 0.101695 ... Iris-setosa Iris-setosa Yes 27 0.194444 0.583333 0.101695 ... Iris-setosa Iris-setosa Yes 28 0.333333 0.166667 0.457627 ... Iris-versicolor Iris-versicolor Yes 29 0.361111 0.416667 0.525424 ... Iris-versicolor Iris-versicolor Yes [30 rows x 7 columns] Running Experiment 4 ... Experiment 4 Trained Neural Network [{'weights': [1.1410828169387133, -1.9591386269475202, 3.1953775214375333, 3.4844937635747475, -0.9136499504559392], 'output': 0.29622393077028863, 'delta': 7.840500514977509e-05}, {'weights': [0.6031087002659243, 1.0307269455520793, -2.727798923623731, -2.361313296151274, 1.1883611906478597], 'output': 0.7650364559968947, 'delta': -0.00010843552328936911}, {'weights': [1.5471482755703032, -1.9587792200360827, 4.043631867637811, 3.5693352266509653, -1.327471911366109], 'output': 0.2504814443418207, 'delta': 8.012498256366325e-05}, {'weights': [0.8159057189060587, 0.47069466007588323, -0.1975948874907084, -0.41864461956232385, 1.2984188762619235], 'output': 0.8380702527572359, 'delta': -4.1627366791889037e-05}, {'weights': [2.0514699191994787, -2.8899508099750753, 4.130882459447936, 3.1185754978457605, -0.7788358547688927], 'output': 0.2466861216831201, 'delta': 7.367384842906249e-05}, {'weights': [-3.055955462064628, -2.210314230408098, 11.000867935917313, 8.56808951356286, -10.33130950661078], 'output': 8.245144886961142e-05, 'delta': -0.0001610235849602403}, {'weights': [0.7682491839411466, 0.5531684177664634, -2.6319403297190576, -2.648640026705804, 2.176397682704982], 'output': 0.8643681766795865, 'delta': -8.908464993524033e-05}, {'weights': [-0.23354348055471766, 1.5445280915507775, 0.7749514303853156, 0.5518699193308637, -0.5931240252745433], 'output': 0.627282519212849, 'delta': -7.640718260627143e-05}] [{'weights': [-3.1036101452062965, 2.494753819734513, -3.4636980749750372, 0.3117693204914575, -2.362558171804076, -4.0979873365546124, 2.6285114473396574, 0.13841822689985545, 1.4503725428497578], 'output': 0.973633991924334, 'delta': -9.82242629601267e-05}, {'weights': [3.0279948340885428, -1.8315501080907688, 3.8684289186871346, -1.5865556730478838, 4.640503654121163, -12.742591820666322, -0.9914738747913034, -1.8163657222336687, -1.4727773368328818], 'output': 0.03952985890359466, 'delta': 0.0001724011857519658}, {'weights': [1.285954696763121, -4.112560230183854, 1.43071906454946, -2.073060156393577, -0.5547868070230931, 9.691514743147827, -5.156789573269452, 0.8677208667387045, -3.445237201446149], 'output': 8.818196072777549e-06, 'delta': -1.4104044751090524e-05}] Experiment 4 Classifications on Test Instances sepal length in cm sepal width in cm petal length in cm ... Actual Class Predicted Class Prediction Correct? 0 0.611111 0.333333 0.610169 ... Iris-versicolor Iris-versicolor Yes 1 0.055556 0.125000 0.050847 ... Iris-setosa Iris-setosa Yes 2 0.722222 0.458333 0.745763 ... Iris-virginica Iris-virginica Yes 3 0.666667 0.541667 0.796610 ... Iris-virginica Iris-virginica Yes 4 1.000000 0.750000 0.915254 ... Iris-virginica Iris-virginica Yes 5 0.444444 0.416667 0.542373 ... Iris-versicolor Iris-versicolor Yes 6 0.805556 0.666667 0.864407 ... Iris-virginica Iris-virginica Yes 7 0.305556 0.583333 0.118644 ... Iris-setosa Iris-setosa Yes 8 0.277778 0.708333 0.084746 ... Iris-setosa Iris-setosa Yes 9 0.472222 0.083333 0.508475 ... Iris-versicolor Iris-versicolor Yes 10 0.555556 0.541667 0.847458 ... Iris-virginica Iris-virginica Yes 11 0.361111 0.375000 0.440678 ... Iris-versicolor Iris-versicolor Yes 12 0.444444 0.500000 0.644068 ... Iris-versicolor Iris-virginica No 13 0.222222 0.625000 0.067797 ... Iris-setosa Iris-setosa Yes 14 0.583333 0.333333 0.779661 ... Iris-virginica Iris-virginica Yes 15 0.222222 0.625000 0.067797 ... Iris-setosa Iris-setosa Yes 16 0.805556 0.500000 0.847458 ... Iris-virginica Iris-virginica Yes 17 0.222222 0.208333 0.338983 ... Iris-versicolor Iris-versicolor Yes 18 0.861111 0.333333 0.864407 ... Iris-virginica Iris-virginica Yes 19 0.083333 0.666667 0.000000 ... Iris-setosa Iris-setosa Yes 20 0.638889 0.375000 0.610169 ... Iris-versicolor Iris-versicolor Yes 21 0.611111 0.500000 0.694915 ... Iris-virginica Iris-virginica Yes 22 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 23 0.027778 0.500000 0.050847 ... Iris-setosa Iris-setosa Yes 24 0.666667 0.416667 0.711864 ... Iris-virginica Iris-virginica Yes 25 0.166667 0.458333 0.084746 ... Iris-setosa Iris-setosa Yes 26 0.388889 0.333333 0.593220 ... Iris-versicolor Iris-versicolor Yes 27 0.666667 0.458333 0.576271 ... Iris-versicolor Iris-versicolor Yes 28 0.361111 0.291667 0.542373 ... Iris-versicolor Iris-versicolor Yes 29 0.194444 0.625000 0.101695 ... Iris-setosa Iris-setosa Yes [30 rows x 7 columns] Experiments Completed.