OpenML
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3057 Supervised Classification SPECTF 363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7573, kappa: 0.3773, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8021, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7573, kappa: 0.3773, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8021, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7573, kappa: 0.3773, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8021, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8515, kappa: 0.6355, kb_relative_information_score: 55.7021, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8509, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7473, scimark_benchmark: 851.2074, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 931.771, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 44.7272, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7533, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 65.0766, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6956, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 947.1781, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7543, kappa: 0.4205, kb_relative_information_score: 29.9228, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7663, predictive_accuracy: 0.7478, prior_entropy: 0.8464, recall: 0.7478, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0707, scimark_benchmark: 936.3373, usercpu_time_millis: 2230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 947.1781, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 935.2002, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8515, kappa: 0.6355, kb_relative_information_score: 55.7021, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8509, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7473, scimark_benchmark: 906.5979, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 908.9569, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 919.3788, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 44.7272, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7533, scimark_benchmark: 933.3455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 65.0766, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6956, scimark_benchmark: 936.9595, usercpu_time_millis: 1490, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7543, kappa: 0.4205, kb_relative_information_score: 29.9228, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7663, predictive_accuracy: 0.7478, prior_entropy: 0.8464, recall: 0.7478, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0707, scimark_benchmark: 935.5664, usercpu_time_millis: 2060, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 1051.249, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 68.5243, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.6138, scimark_benchmark: 906.0979, usercpu_time_millis: 8980, usercpu_time_millis_testing: 3420, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 65.4624, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6467, scimark_benchmark: 942.2392, usercpu_time_millis: 4580, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8448, kappa: 0.6243, kb_relative_information_score: 70.0347, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8467, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6166, scimark_benchmark: 939.7241, usercpu_time_millis: 1780, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 64.9887, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6512, scimark_benchmark: 914.3583, usercpu_time_millis: 920, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9048, kappa: 0.7684, kb_relative_information_score: 69.1699, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9053, predictive_accuracy: 0.9043, prior_entropy: 0.8464, recall: 0.9043, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6483, scimark_benchmark: 889.4922, usercpu_time_millis: 410, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 60.1727, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7571, scimark_benchmark: 894.7131, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 60.1727, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7571, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 60.1727, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7571, scimark_benchmark: 936.7184, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 1296.8947, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 65.0766, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6956, scimark_benchmark: 1333.202, usercpu_time_millis: 1070, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1346.1568, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 1320.8283, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1346.0226, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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