OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.2789, build_memory: 488073434.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.9594, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6008, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.5633, build_memory: 499810430.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.8134, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.6019, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.1363, build_memory: 481547704, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.8495, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6018, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0221, build_memory: 234183245.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.5026, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3019, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 0.021, build_memory: 454593885.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.6592, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3094, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.0299, build_memory: 394402768, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.668, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3018, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.0755, build_memory: 410335086.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.4597, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2973, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.1541, build_memory: 423169975.2, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.3655, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3038, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.328, build_memory: 426262756.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.29, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.295, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.1627, build_memory: 468678668, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.8051, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2835, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.0796, build_memory: 421209553.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6843, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.049, build_memory: 539194125.6, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 133.6608, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3122, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.0238, build_memory: 193496242.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.1428, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2835, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.0139, build_memory: 388308751.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.5446, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3076, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.021, build_memory: 613267576.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.493, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3183, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0363, build_memory: 358239817.6, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.6454, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2757, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.0672, build_memory: 306632869.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.2082, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.29, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.1451, build_memory: 339257692.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.4928, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2928, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.103, build_memory: 431257585.6, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0476, build_memory: 459214037.6, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0245, build_memory: 345576895.2, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.013, build_memory: 464041108.8, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0066, build_memory: 256532312, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.012, build_memory: 401570240, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 85.9355, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7089, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, build_cpu_time: 0.0199, build_memory: 614344884, f_measure: 0.6528, kappa: 0.5, kb_relative_information_score: 86.5636, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7078, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.6032, kappa: 0.5, kb_relative_information_score: 86.324, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 0.0687, build_memory: 362744755.2, f_measure: 0.6633, kappa: 0.5, kb_relative_information_score: 86.5124, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7077, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, build_cpu_time: 0.1552, build_memory: 437545622.4, f_measure: 0.6633, kappa: 0.5, kb_relative_information_score: 86.307, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7079, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.1912, build_memory: 448485923.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5862, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0813, build_memory: 428164057.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.777, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.04, build_memory: 470940353.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.569, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0207, build_memory: 295911463.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.9829, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2937, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.0108, build_memory: 525419760, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.631, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.7194, build_memory: 312464232.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 138.1225, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2741, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 1.5415, build_memory: 202168265.6, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.8911, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.262, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 2.7876, build_memory: 227108592.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7576, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2643, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 5.4308, build_memory: 164944151.2, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7288, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2664, scimark_benchmark: 1684.5627,
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Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs