Task
Supervised Classification on visualizing_soil

Supervised Classification on visualizing_soil

Task 3786 Supervised Classification visualizing_soil 545 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.6185, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8562.8441, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9986, kb_relative_information_score: 8596.1117, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9928, recall: 0.9993, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9993, kb_relative_information_score: 8628.8653, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9928, recall: 0.9997, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8637.0803, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0122, root_relative_squared_error: 0.0246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9979, kappa: 0.9958, kb_relative_information_score: 8601.82, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9928, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 8244.862, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9928, recall: 0.9847, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9911, kappa: 0.982, kb_relative_information_score: 7461.8774, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9912, predictive_accuracy: 0.9911, prior_entropy: 0.9928, recall: 0.9911, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9876, kb_relative_information_score: 7891.0915, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.9928, recall: 0.9939, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9455, kappa: 0.8896, kb_relative_information_score: 6936.621, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.9928, recall: 0.946, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9958, kb_relative_information_score: 8552.2518, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9928, recall: 0.9979, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9899, kappa: 0.9796, kb_relative_information_score: 8468.621, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.9928, recall: 0.9899, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.7593, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0138, root_relative_squared_error: 0.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9916, kappa: 0.9829, kb_relative_information_score: 5329.6281, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9928, recall: 0.9916, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3904, kb_relative_information_score: -0.0152, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.3026, predictive_accuracy: 0.5501, prior_entropy: 0.9928, recall: 0.5501, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4975, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 8564.0771, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9928, recall: 0.9978, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.3148, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 8564.0771, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9928, recall: 0.9978, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.6073, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9979, kb_relative_information_score: 8608.2481, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9928, recall: 0.999, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.03, root_relative_squared_error: 0.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9889, kappa: 0.9775, kb_relative_information_score: 8446.1667, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 0.9928, recall: 0.9889, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.4173, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9889, kappa: 0.9775, kb_relative_information_score: 8446.1667, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 0.9928, recall: 0.9889, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9911, kappa: 0.982, kb_relative_information_score: 8484.7217, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9912, predictive_accuracy: 0.9911, prior_entropy: 0.9928, recall: 0.9911, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9859, kappa: 0.9714, kb_relative_information_score: 7820.9321, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9862, predictive_accuracy: 0.9859, prior_entropy: 0.9928, recall: 0.9859, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9466, kappa: 0.8918, kb_relative_information_score: 6959.2592, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9517, predictive_accuracy: 0.947, prior_entropy: 0.9928, recall: 0.947, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9802, kappa: 0.96, kb_relative_information_score: 8214.9959, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9928, recall: 0.9802, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.8157, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 1180.2127, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9991, kb_relative_information_score: 8617.8935, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9928, recall: 0.9995, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0203, root_relative_squared_error: 0.0409, scimark_benchmark: 1258.8174, usercpu_time_millis: 2650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9993, kb_relative_information_score: 8628.4338, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9928, recall: 0.9997, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0351, scimark_benchmark: 1269.7052, usercpu_time_millis: 540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8615.005, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0749, scimark_benchmark: 1264.9713, usercpu_time_millis: 4410, usercpu_time_millis_testing: 4380, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1107.8416, usercpu_time_millis: 1400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.5889, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 590.0111, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9889, kappa: 0.9775, kb_relative_information_score: 8446.1667, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 0.9928, recall: 0.9889, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2119, scimark_benchmark: 1618.1738, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 1618.1738, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9974, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 1870.7932, usercpu_time_millis: 187.2012, usercpu_time_millis_training: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 1870.7932, usercpu_time_millis: 187.2012, usercpu_time_millis_training: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9988, kb_relative_information_score: 8607.0461, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9928, recall: 0.9994, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0226, root_relative_squared_error: 0.0454, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9986, kb_relative_information_score: 8596.1117, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9928, recall: 0.9993, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.059, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9455, kappa: 0.8896, kb_relative_information_score: 6936.621, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.9928, recall: 0.946, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3882, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9455, kappa: 0.8896, kb_relative_information_score: 6936.621, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.9928, recall: 0.946, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3882, scimark_benchmark: 1887.4343, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.1481, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0106, root_relative_squared_error: 0.0212, scimark_benchmark: 1806.5905, usercpu_time_millis: 265.2017, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.4173, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0172, scimark_benchmark: 1806.5905, usercpu_time_millis: 421.2027, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 374.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8639.5745, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9928, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1806.5905, usercpu_time_millis: 2948.4189, usercpu_time_millis_testing: 2917.2187, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8615.005, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0749, scimark_benchmark: 1806.5905, usercpu_time_millis: 3556.8228, usercpu_time_millis_testing: 3556.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9455, kappa: 0.8896, kb_relative_information_score: 6936.621, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.9928, recall: 0.946, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3882, scimark_benchmark: 1877.5305, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

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