Task
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 4568 Supervised Classification hypothyroid 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9969, kappa: 0.978, kb_relative_information_score: 33855.6132, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2252, scimark_benchmark: 972.587, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9975, kappa: 0.9823, kb_relative_information_score: 34127.1447, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.3928, recall: 0.9975, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.205, scimark_benchmark: 934.3687, usercpu_time_millis: 1100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 931.771, usercpu_time_millis: 5040, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9968, kappa: 0.9775, kb_relative_information_score: 35354.206, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2078, scimark_benchmark: 941.6675, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9635, kappa: 0.7213, kb_relative_information_score: 21730.0394, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9664, predictive_accuracy: 0.9669, prior_entropy: 0.3928, recall: 0.9669, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.58, scimark_benchmark: 944.1067, usercpu_time_millis: 506990, usercpu_time_millis_testing: 4780, usercpu_time_millis_training: 502210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9942, kappa: 0.959, kb_relative_information_score: 34914.9741, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.3928, recall: 0.9942, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.278, scimark_benchmark: 931.771, usercpu_time_millis: 3160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 936.3373, usercpu_time_millis: 4970, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 947.1781, usercpu_time_millis: 4940, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9957, kappa: 0.9698, kb_relative_information_score: 30764.9528, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.3928, recall: 0.9957, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3073, scimark_benchmark: 947.1781, usercpu_time_millis: 990, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9969, kappa: 0.978, kb_relative_information_score: 33855.6132, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2252, scimark_benchmark: 908.9569, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9975, kappa: 0.9823, kb_relative_information_score: 34127.1447, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.3928, recall: 0.9975, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.205, scimark_benchmark: 936.2574, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 908.9569, usercpu_time_millis: 13420, usercpu_time_millis_testing: 6170, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 932.438, usercpu_time_millis: 5620, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9968, kappa: 0.9775, kb_relative_information_score: 35354.206, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2078, scimark_benchmark: 933.3455, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 944.0133, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9942, kappa: 0.959, kb_relative_information_score: 34914.9741, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.3928, recall: 0.9942, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.278, scimark_benchmark: 942.2392, usercpu_time_millis: 3230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9957, kappa: 0.9698, kb_relative_information_score: 30764.9528, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.3928, recall: 0.9957, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3073, scimark_benchmark: 938.988, usercpu_time_millis: 1020, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9974, kappa: 0.9816, kb_relative_information_score: 32972.6869, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.3928, recall: 0.9974, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.2394, scimark_benchmark: 1051.249, usercpu_time_millis: 68920, usercpu_time_millis_testing: 35560, usercpu_time_millis_training: 33360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9971, kappa: 0.98, kb_relative_information_score: 32957.0034, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9972, predictive_accuracy: 0.9971, prior_entropy: 0.3928, recall: 0.9971, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.2405, scimark_benchmark: 936.3373, usercpu_time_millis: 25960, usercpu_time_millis_testing: 9360, usercpu_time_millis_training: 16600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9972, kappa: 0.9801, kb_relative_information_score: 32870.2298, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.3928, recall: 0.9972, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2435, scimark_benchmark: 906.5979, usercpu_time_millis: 10340, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9966, kappa: 0.9761, kb_relative_information_score: 32959.8028, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.3928, recall: 0.9966, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2465, scimark_benchmark: 910.2405, usercpu_time_millis: 5520, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 4370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9842, kappa: 0.8938, kb_relative_information_score: 29652.6047, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9861, predictive_accuracy: 0.9835, prior_entropy: 0.3928, recall: 0.9835, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4397, scimark_benchmark: 889.4922, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 1339.2472, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1362.9924, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1303.5632, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 908.2231, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1331.2559, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1340.9749, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1317.2327, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9971, kappa: 0.9795, kb_relative_information_score: 35389.4944, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.3928, recall: 0.9971, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2004, scimark_benchmark: 1333.6736, usercpu_time_millis: 1330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9635, kappa: 0.7213, kb_relative_information_score: 21729.9914, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9664, predictive_accuracy: 0.9669, prior_entropy: 0.3928, recall: 0.9669, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.58, scimark_benchmark: 1336.0954, usercpu_time_millis: 265460, usercpu_time_millis_testing: 3270, usercpu_time_millis_training: 262190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9968, kappa: 0.9775, kb_relative_information_score: 35354.206, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2078, scimark_benchmark: 1342.8584, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1332.1612, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9975, kappa: 0.9823, kb_relative_information_score: 34127.1447, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.3928, recall: 0.9975, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.205, scimark_benchmark: 1307.9497, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9765, kappa: 0.8325, kb_relative_information_score: 28778.9949, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9763, predictive_accuracy: 0.9768, prior_entropy: 0.3928, recall: 0.9768, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4784, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1323.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8641, kb_relative_information_score: 30109.0299, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9808, predictive_accuracy: 0.9811, prior_entropy: 0.3928, recall: 0.9811, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.4352, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9942, kappa: 0.959, kb_relative_information_score: 34914.9741, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.3928, recall: 0.9942, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.278, scimark_benchmark: 1326.2019, usercpu_time_millis: 4280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9957, kappa: 0.9698, kb_relative_information_score: 30764.9528, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.3928, recall: 0.9957, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3073, scimark_benchmark: 1347.6543, usercpu_time_millis: 720, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9962, kappa: 0.973, kb_relative_information_score: 35647.814, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.3928, recall: 0.9962, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2229, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9718, kappa: 0.7898, kb_relative_information_score: 24165.229, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.3928, recall: 0.9735, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.5324, scimark_benchmark: 1324.5762, usercpu_time_millis: 54460, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 53210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9975, kappa: 0.9823, kb_relative_information_score: 34127.1447, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.3928, recall: 0.9975, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.205, scimark_benchmark: 1321.8132, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8973, kappa: 0.1119, kb_relative_information_score: 11178.7641, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1426, number_of_instances: 37720, precision: 0.9303, predictive_accuracy: 0.9276, prior_entropy: 0.3928, recall: 0.9276, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.269, root_relative_squared_error: 1.0083, scimark_benchmark: 1396.1629, usercpu_time_millis: 4280, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 2790,

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