Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3054 Supervised Classification monks-problems-2 352 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 904.6764, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5671, kappa: 0.083, kb_relative_information_score: 13.5925, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6033, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9841, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 947.1781, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.6537, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0042, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 947.1781, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 906.5979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 908.9569, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 919.3788, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5671, kappa: 0.083, kb_relative_information_score: 13.5925, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6033, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9841, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 936.9595, usercpu_time_millis: 2350, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 934.695, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 936.3213, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 150.5661, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3547, scimark_benchmark: 938.988, usercpu_time_millis: 3070, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 153.3992, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3369, scimark_benchmark: 934.695, usercpu_time_millis: 1310, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 144.7589, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3941, scimark_benchmark: 939.7241, usercpu_time_millis: 560, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 141.161, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4204, scimark_benchmark: 914.3583, usercpu_time_millis: 470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9486, kappa: 0.8883, kb_relative_information_score: 112.9794, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.9532, predictive_accuracy: 0.9495, prior_entropy: 0.9279, recall: 0.9495, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5631, scimark_benchmark: 889.4922, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.967, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0047, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.967, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0047, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.967, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0047, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.967, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0047, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.4664, kappa: -0.0881, kb_relative_information_score: 3.1554, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3875, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0036, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.5147, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0017, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 1316.5668, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1319.4538, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 1317.5857, usercpu_time_millis: 1140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 1322.3407, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1313.11, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.6537, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0042, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 1332.6745, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 1367.3264, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.4886, kb_relative_information_score: 2.5929, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9882, scimark_benchmark: 1321.4771, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1330.4755,

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