OpenML
Supervised Classification on fri_c1_100_25

Supervised Classification on fri_c1_100_25

Task 4382 Supervised Classification fri_c1_100_25 210 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7621, kappa: 0.522, kb_relative_information_score: 458.72, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.763, prior_entropy: 0.9975, recall: 0.763, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8781, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8179, kappa: 0.6343, kb_relative_information_score: 537.2321, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9975, recall: 0.818, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7198, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.792, kappa: 0.5824, kb_relative_information_score: 548.9632, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9975, recall: 0.792, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.824, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 904.0772, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7712, kappa: 0.5416, kb_relative_information_score: 353.6736, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7722, predictive_accuracy: 0.771, prior_entropy: 0.9975, recall: 0.771, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.794, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6667, kappa: 0.3305, kb_relative_information_score: 248.2526, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6666, predictive_accuracy: 0.667, prior_entropy: 0.9975, recall: 0.667, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9821, scimark_benchmark: 938.191, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8241, kappa: 0.6471, kb_relative_information_score: 565.3018, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9975, recall: 0.824, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7807, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 936.3373, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.795, kappa: 0.5884, kb_relative_information_score: 310.9497, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7903, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7621, kappa: 0.522, kb_relative_information_score: 458.72, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.763, prior_entropy: 0.9975, recall: 0.763, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8781, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8179, kappa: 0.6343, kb_relative_information_score: 537.2321, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9975, recall: 0.818, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7198, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.792, kappa: 0.5824, kb_relative_information_score: 548.9632, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9975, recall: 0.792, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.824, scimark_benchmark: 940.1541, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7712, kappa: 0.5416, kb_relative_information_score: 353.6736, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7722, predictive_accuracy: 0.771, prior_entropy: 0.9975, recall: 0.771, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.794, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6667, kappa: 0.3305, kb_relative_information_score: 248.2526, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6666, predictive_accuracy: 0.667, prior_entropy: 0.9975, recall: 0.667, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9821, scimark_benchmark: 919.3788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8241, kappa: 0.6471, kb_relative_information_score: 565.3018, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9975, recall: 0.824, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7807, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.795, kappa: 0.5884, kb_relative_information_score: 310.9497, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7903, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7559, kappa: 0.5099, kb_relative_information_score: 259.7581, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7559, predictive_accuracy: 0.756, prior_entropy: 0.9975, recall: 0.756, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8397, scimark_benchmark: 936.2574, usercpu_time_millis: 1450, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7589, kappa: 0.516, kb_relative_information_score: 263.2767, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7589, predictive_accuracy: 0.759, prior_entropy: 0.9975, recall: 0.759, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8391, scimark_benchmark: 943.6618, usercpu_time_millis: 860, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 261.042, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7441, predictive_accuracy: 0.744, prior_entropy: 0.9975, recall: 0.744, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8439, scimark_benchmark: 933.9243, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7291, kappa: 0.4564, kb_relative_information_score: 276.5808, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7292, predictive_accuracy: 0.729, prior_entropy: 0.9975, recall: 0.729, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8428, scimark_benchmark: 945.0448, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7312, kappa: 0.461, kb_relative_information_score: 266.6574, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7317, predictive_accuracy: 0.731, prior_entropy: 0.9975, recall: 0.731, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.862, scimark_benchmark: 935.9271, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8258, kappa: 0.6502, kb_relative_information_score: 640.3104, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9975, recall: 0.826, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.808, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8158, kappa: 0.6301, kb_relative_information_score: 622.6602, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8159, predictive_accuracy: 0.816, prior_entropy: 0.9975, recall: 0.816, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8147, scimark_benchmark: 941.9549, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7948, kappa: 0.5878, kb_relative_information_score: 581.7926, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8262, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7885, kappa: 0.5752, kb_relative_information_score: 542.991, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7891, predictive_accuracy: 0.789, prior_entropy: 0.9975, recall: 0.789, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.828, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7856, kappa: 0.5693, kb_relative_information_score: 506.6491, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9975, recall: 0.786, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7984, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -1.4035, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.817, kappa: 0.6326, kb_relative_information_score: 630.8439, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.817, predictive_accuracy: 0.817, prior_entropy: 0.9975, recall: 0.817, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.814, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.815, kappa: 0.6286, kb_relative_information_score: 609.5314, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9975, recall: 0.815, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.817, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7662, kappa: 0.5318, kb_relative_information_score: 531.1404, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7674, predictive_accuracy: 0.766, prior_entropy: 0.9975, recall: 0.766, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8873, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6667, kappa: 0.3305, kb_relative_information_score: 248.2526, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6666, predictive_accuracy: 0.667, prior_entropy: 0.9975, recall: 0.667, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9821, scimark_benchmark: 1331.7953, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6667, kappa: 0.3305, kb_relative_information_score: 248.2526, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6666, predictive_accuracy: 0.667, prior_entropy: 0.9975, recall: 0.667, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9821, scimark_benchmark: 1332.1612, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7302, kappa: 0.4605, kb_relative_information_score: 428.0653, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7326, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8776, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8241, kappa: 0.6471, kb_relative_information_score: 565.3018, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9975, recall: 0.824, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7807, scimark_benchmark: 1351.3088, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.795, kappa: 0.5884, kb_relative_information_score: 310.9497, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7903, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7621, kappa: 0.522, kb_relative_information_score: 458.72, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.763, prior_entropy: 0.9975, recall: 0.763, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8781, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.792, kappa: 0.5825, kb_relative_information_score: 549.4453, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9975, recall: 0.792, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8248, scimark_benchmark: 1364.991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7431, kappa: 0.4846, kb_relative_information_score: 461.1079, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7433, predictive_accuracy: 0.743, prior_entropy: 0.9975, recall: 0.743, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9017, scimark_benchmark: 1330.4755, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 1348.2804, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7362, kappa: 0.4721, kb_relative_information_score: 435.8506, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9975, recall: 0.736, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8743, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8241, kappa: 0.6471, kb_relative_information_score: 565.3018, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9975, recall: 0.824, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7807, scimark_benchmark: 1332.7986, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8179, kappa: 0.6343, kb_relative_information_score: 537.2321, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9975, recall: 0.818, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7198, scimark_benchmark: 1344.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 1343.3311, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.795, kappa: 0.5884, kb_relative_information_score: 310.9497, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7949, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7903, scimark_benchmark: 1253.0071, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6814, kappa: 0.3599, kb_relative_information_score: 360.7132, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6815, predictive_accuracy: 0.682, prior_entropy: 0.9975, recall: 0.682, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1299, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs