OpenML
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 3703 Supervised Classification fri_c4_500_25 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6414, kappa: 0.2665, kb_relative_information_score: 130.2956, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6409, predictive_accuracy: 0.644, prior_entropy: 0.9867, recall: 0.644, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5681, root_relative_squared_error: 1.1469, scimark_benchmark: 1352.2099, usercpu_time_millis: 16380, usercpu_time_millis_testing: 16380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1345.3152, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7466, kappa: 0.4856, kb_relative_information_score: 139.32, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.746, prior_entropy: 0.9867, recall: 0.746, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.876, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8418, kappa: 0.6772, kb_relative_information_score: 295.1226, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6933, scimark_benchmark: 1311.9814, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8799, kappa: 0.7552, kb_relative_information_score: 354.7001, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9867, recall: 0.88, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6263, scimark_benchmark: 934.4732, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8573, kappa: 0.7082, kb_relative_information_score: 228.3911, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.683, scimark_benchmark: 1352.2099, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1206.8386, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1343.2125, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8418, kappa: 0.6772, kb_relative_information_score: 295.1226, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6933, scimark_benchmark: 1318.8785, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8578, kappa: 0.7098, kb_relative_information_score: 333.454, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7105, scimark_benchmark: 1368.9272, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1349.1028, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8699, kappa: 0.7347, kb_relative_information_score: 293.4739, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9867, recall: 0.87, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6318, scimark_benchmark: 854.5188, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 1347.388, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1334.2049, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8522, kappa: 0.6994, kb_relative_information_score: 327.9641, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7417, scimark_benchmark: 1320.9387, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8418, kappa: 0.6772, kb_relative_information_score: 295.1226, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6933, scimark_benchmark: 1328.941, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8439, kappa: 0.6818, kb_relative_information_score: 322.1479, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9867, recall: 0.844, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7598, scimark_benchmark: 912.5006, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6771, kappa: 0.3406, kb_relative_information_score: 169.2539, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6766, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1455, scimark_benchmark: 1307.3764, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6785, kappa: 0.3428, kb_relative_information_score: 100.3259, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6781, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9295, scimark_benchmark: 1313.6093, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7466, kappa: 0.4856, kb_relative_information_score: 147.8163, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.746, prior_entropy: 0.9867, recall: 0.746, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8593, scimark_benchmark: 1205.8291, usercpu_time_millis: 2340, usercpu_time_millis_testing: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.5263, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2542, scimark_benchmark: 1327.9121, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.4566, kappa: 0.0897, kb_relative_information_score: -8.4741, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.5965, predictive_accuracy: 0.506, prior_entropy: 0.9867, recall: 0.506, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.046, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6244, kappa: 0.2311, kb_relative_information_score: 119.9582, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6251, predictive_accuracy: 0.63, prior_entropy: 0.9867, recall: 0.63, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.228, scimark_benchmark: 1346.3935, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8262, kappa: 0.6464, kb_relative_information_score: 282.5976, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8266, predictive_accuracy: 0.826, prior_entropy: 0.9867, recall: 0.826, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6812, scimark_benchmark: 1317.0962, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8421, kappa: 0.6786, kb_relative_information_score: 304.0088, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7495, scimark_benchmark: 896.937, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1249.4068, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.855, kappa: 0.7033, kb_relative_information_score: 218.6013, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9867, recall: 0.856, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6914, scimark_benchmark: 1311.9814, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8473, kappa: 0.6878, kb_relative_information_score: 232.0559, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6803, scimark_benchmark: 1321.5205, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8385, kappa: 0.6696, kb_relative_information_score: 261.5832, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 0.9867, recall: 0.84, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6841, scimark_benchmark: 1332.6143, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1163.8617, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6737, kappa: 0.3346, kb_relative_information_score: 129.9036, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6735, predictive_accuracy: 0.674, prior_entropy: 0.9867, recall: 0.674, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0221, scimark_benchmark: 1330.668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.2716, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9383, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382, scimark_benchmark: 986.8456, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6184, kappa: 0.2189, kb_relative_information_score: 64.6474, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.622, prior_entropy: 0.9867, recall: 0.622, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9513, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6804, kappa: 0.3466, kb_relative_information_score: 100.4427, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.682, prior_entropy: 0.9867, recall: 0.682, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9295, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8737, kappa: 0.7423, kb_relative_information_score: 295.6753, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9867, recall: 0.874, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6256, scimark_benchmark: 1368.9272, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8678, kappa: 0.7304, kb_relative_information_score: 298.4289, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6257, scimark_benchmark: 1339.3974, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8859, kappa: 0.7673, kb_relative_information_score: 348.9703, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9867, recall: 0.886, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5958, scimark_benchmark: 916.6405, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8381, kappa: 0.6704, kb_relative_information_score: 307.2998, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7705, scimark_benchmark: 1354.2491, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6515, kappa: 0.3042, kb_relative_information_score: 140.4981, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.65, prior_entropy: 0.9867, recall: 0.65, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1943, scimark_benchmark: 1359.379, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2606, kb_relative_information_score: -83.3866, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.1866, predictive_accuracy: 0.432, prior_entropy: 0.9867, recall: 0.432, relative_absolute_error: 1.1573, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5215, scimark_benchmark: 1337.7959, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8136, kappa: 0.6195, kb_relative_information_score: 301.6602, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8135, predictive_accuracy: 0.814, prior_entropy: 0.9867, recall: 0.814, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8111, scimark_benchmark: 1392.1129, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7759, kappa: 0.5431, kb_relative_information_score: 269.8994, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9555, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8718, kappa: 0.7383, kb_relative_information_score: 368.4908, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7223, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6752, kappa: 0.3354, kb_relative_information_score: 159.6383, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6753, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0565, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6795, kappa: 0.3444, kb_relative_information_score: 115.2563, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6795, predictive_accuracy: 0.682, prior_entropy: 0.9867, recall: 0.682, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9743, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 941.7954, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 923.7642, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8596, kappa: 0.7131, kb_relative_information_score: 356.4235, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6949, scimark_benchmark: 936.7115, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8577, kappa: 0.7095, kb_relative_information_score: 350.7092, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8577, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6855, scimark_benchmark: 936.7115, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.844, kappa: 0.6821, kb_relative_information_score: 329.1545, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9867, recall: 0.844, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7357, scimark_benchmark: 936.6206, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8165, kappa: 0.6275, kb_relative_information_score: 286.2273, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.816, prior_entropy: 0.9867, recall: 0.816, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8073, scimark_benchmark: 922.9039, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7751, kappa: 0.5405, kb_relative_information_score: 254.6103, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7751, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8577, scimark_benchmark: 938.9865, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8799, kappa: 0.7552, kb_relative_information_score: 354.7001, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9867, recall: 0.88, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6263, scimark_benchmark: 938.4285, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8839, kappa: 0.7631, kb_relative_information_score: 347.2007, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9867, recall: 0.884, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5984, scimark_benchmark: 924.6116, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8798, kappa: 0.7547, kb_relative_information_score: 328.6018, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9867, recall: 0.88, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6115, scimark_benchmark: 945.6434, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8473, kappa: 0.6878, kb_relative_information_score: 298.9196, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6429, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8385, kappa: 0.6696, kb_relative_information_score: 261.5832, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 0.9867, recall: 0.84, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6841, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.5477, kappa: 0.1797, kb_relative_information_score: 59.0173, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6325, predictive_accuracy: 0.566, prior_entropy: 0.9867, recall: 0.566, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9898, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8375, kappa: 0.6682, kb_relative_information_score: 283.3132, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6736, scimark_benchmark: 933.8635, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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