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OpenML
Task
Supervised Classification on fri_c4_500_100

Supervised Classification on fri_c4_500_100

Task 3608 Supervised Classification fri_c4_500_100 542 runs submitted
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Visibility: Public
  • 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: 0.5161, f_measure: 0.4993, kappa: -0.0234, kb_relative_information_score: 6.0965, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.4969, predictive_accuracy: 0.508, prior_entropy: 0.9875, recall: 0.508, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1298, scimark_benchmark: 939.5088, usercpu_time_millis: 450, usercpu_time_millis_testing: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.5384, kappa: 0.1041, kb_relative_information_score: 81.5858, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5882, predictive_accuracy: 0.592, prior_entropy: 0.9875, recall: 0.592, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2888, scimark_benchmark: 1363.454, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.4196, kappa: 0.0036, kb_relative_information_score: 54.9254, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5378, predictive_accuracy: 0.566, prior_entropy: 0.9875, recall: 0.566, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3292, scimark_benchmark: 1333.5799, usercpu_time_millis: 270, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6226, kappa: 0.2297, kb_relative_information_score: 114.3986, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6218, predictive_accuracy: 0.624, prior_entropy: 0.9875, recall: 0.624, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2372, scimark_benchmark: 1297.6599, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6349, kappa: 0.2539, kb_relative_information_score: 70.902, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6346, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9559, scimark_benchmark: 938.343, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6148, kappa: 0.2127, kb_relative_information_score: 108.2462, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.618, prior_entropy: 0.9875, recall: 0.618, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.247, scimark_benchmark: 942.6843, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6335, kappa: 0.2516, kb_relative_information_score: 84.4757, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6377, predictive_accuracy: 0.642, prior_entropy: 0.9875, recall: 0.642, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9859, scimark_benchmark: 1028.5889, usercpu_time_millis: 700, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8371, kappa: 0.6672, kb_relative_information_score: 294.1959, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7352, scimark_benchmark: 1372.2145, usercpu_time_millis: 530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7857, kappa: 0.5619, kb_relative_information_score: 120.4161, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9875, recall: 0.788, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8381, scimark_benchmark: 1316.0472, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, f_measure: 0.6351, kappa: 0.261, kb_relative_information_score: 124.6526, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6374, predictive_accuracy: 0.634, prior_entropy: 0.9875, recall: 0.634, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2206, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.818, kappa: 0.6293, kb_relative_information_score: 253.126, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9875, recall: 0.818, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7827, scimark_benchmark: 1316.0472, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8511, kappa: 0.6958, kb_relative_information_score: 300.2613, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8524, predictive_accuracy: 0.852, prior_entropy: 0.9875, recall: 0.852, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.723, scimark_benchmark: 1330.2678, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.3485, kappa: 0.0431, kb_relative_information_score: -47.6146, mean_absolute_error: 0.534, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.466, prior_entropy: 0.9875, recall: 0.466, relative_absolute_error: 1.0869, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.7308, root_relative_squared_error: 1.4744, scimark_benchmark: 1291.6995, usercpu_time_millis: 1020, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2627, kb_relative_information_score: -80.4275, mean_absolute_error: 0.566, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.1884, predictive_accuracy: 0.434, prior_entropy: 0.9875, recall: 0.434, relative_absolute_error: 1.152, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.7523, root_relative_squared_error: 1.5179, scimark_benchmark: 1372.2145, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7985, kappa: 0.5913, kb_relative_information_score: 290.7539, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7998, predictive_accuracy: 0.798, prior_entropy: 0.9875, recall: 0.798, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8991, scimark_benchmark: 1358.4523, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7893, kappa: 0.57, kb_relative_information_score: 284.6151, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7893, predictive_accuracy: 0.79, prior_entropy: 0.9875, recall: 0.79, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9246, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8298, kappa: 0.6521, kb_relative_information_score: 327.6819, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8348, predictive_accuracy: 0.832, prior_entropy: 0.9875, recall: 0.832, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.827, scimark_benchmark: 1353.5686, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.4091, kb_relative_information_score: -0.0584, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.3204, predictive_accuracy: 0.566, prior_entropy: 0.9875, recall: 0.566, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4956, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8399, kappa: 0.674, kb_relative_information_score: 330.9892, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9875, recall: 0.84, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.788, scimark_benchmark: 1605.6303, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6041, kappa: 0.1908, kb_relative_information_score: 98.3523, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6035, predictive_accuracy: 0.608, prior_entropy: 0.9875, recall: 0.608, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5974, root_relative_squared_error: 1.2053, scimark_benchmark: 931.2336, usercpu_time_millis: 660, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5898, kappa: 0.1623, kb_relative_information_score: 84.9282, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5888, predictive_accuracy: 0.592, prior_entropy: 0.9875, recall: 0.592, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.2311, scimark_benchmark: 932.3943, usercpu_time_millis: 1380, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.583, kappa: 0.1496, kb_relative_information_score: 72.1007, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5823, predictive_accuracy: 0.584, prior_entropy: 0.9875, recall: 0.584, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.2674, scimark_benchmark: 941.7954, usercpu_time_millis: 2840, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5886, kappa: 0.1605, kb_relative_information_score: 76.4771, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5877, predictive_accuracy: 0.59, prior_entropy: 0.9875, recall: 0.59, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2388, scimark_benchmark: 923.7642, usercpu_time_millis: 5000, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.604, kappa: 0.1915, kb_relative_information_score: 85.6841, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6032, predictive_accuracy: 0.606, prior_entropy: 0.9875, recall: 0.606, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.1954, scimark_benchmark: 894.7455, usercpu_time_millis: 2130, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8515, kappa: 0.6971, kb_relative_information_score: 350.4835, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9875, recall: 0.852, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7047, scimark_benchmark: 936.6206, usercpu_time_millis: 3050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8553, kappa: 0.7047, kb_relative_information_score: 347.4121, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6991, scimark_benchmark: 943.2817, usercpu_time_millis: 1500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8435, kappa: 0.6808, kb_relative_information_score: 323.3612, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9875, recall: 0.844, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7517, scimark_benchmark: 942.1229, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8007, kappa: 0.5928, kb_relative_information_score: 285.4577, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 0.9875, recall: 0.802, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8059, scimark_benchmark: 922.9039, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7449, kappa: 0.4794, kb_relative_information_score: 233.2643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7449, predictive_accuracy: 0.746, prior_entropy: 0.9875, recall: 0.746, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9066, scimark_benchmark: 938.4285, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8559, kappa: 0.7066, kb_relative_information_score: 329.7973, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8559, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6962, scimark_benchmark: 936.6206, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.86, kappa: 0.715, kb_relative_information_score: 325.9954, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9875, recall: 0.86, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6565, scimark_benchmark: 924.6116, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8615, kappa: 0.7174, kb_relative_information_score: 317.8123, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 0.9875, recall: 0.862, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6316, scimark_benchmark: 924.6116, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8478, kappa: 0.6899, kb_relative_information_score: 283.5152, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.9875, recall: 0.848, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6611, scimark_benchmark: 947.9494, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8472, kappa: 0.6879, kb_relative_information_score: 268.0387, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9875, recall: 0.848, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6686, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7608, kappa: 0.5116, kb_relative_information_score: 111.9105, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.761, predictive_accuracy: 0.762, prior_entropy: 0.9875, recall: 0.762, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8802, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8374, kappa: 0.6683, kb_relative_information_score: 323.6351, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7687, scimark_benchmark: 929.0255, usercpu_time_millis: 3100, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.6037, kappa: 0.2048, kb_relative_information_score: 75.432, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6114, predictive_accuracy: 0.602, prior_entropy: 0.9875, recall: 0.602, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0799, scimark_benchmark: 930.32, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.3289, build_memory: 259748579.2, f_measure: 0.7914, kappa: 0.5736, kb_relative_information_score: 120.6059, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7952, predictive_accuracy: 0.794, prior_entropy: 0.9875, recall: 0.794, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8358, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 1.8066, build_memory: 533888688, f_measure: 0.8095, kappa: 0.6114, kb_relative_information_score: 306.8692, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9875, recall: 0.81, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8593, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.9272, build_memory: 670022452, f_measure: 0.8214, kappa: 0.6355, kb_relative_information_score: 316.058, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8216, predictive_accuracy: 0.822, prior_entropy: 0.9875, recall: 0.822, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8245, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, build_cpu_time: 0.4824, build_memory: 792142345.6, f_measure: 0.7859, kappa: 0.5642, kb_relative_information_score: 280.1536, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7859, predictive_accuracy: 0.786, prior_entropy: 0.9875, recall: 0.786, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8831, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 0.2173, build_memory: 1386642577.6, f_measure: 0.7661, kappa: 0.524, kb_relative_information_score: 249.3955, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7661, predictive_accuracy: 0.766, prior_entropy: 0.9875, recall: 0.766, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9235, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.1109, build_memory: 767192533.6, f_measure: 0.7319, kappa: 0.4539, kb_relative_information_score: 209.3142, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7317, predictive_accuracy: 0.732, prior_entropy: 0.9875, recall: 0.732, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9562, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, build_cpu_time: 0.4464, build_memory: 790022677.6, f_measure: 0.5985, kappa: 0.1805, kb_relative_information_score: 88.9443, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5976, predictive_accuracy: 0.6, prior_entropy: 0.9875, recall: 0.6, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1329, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, build_cpu_time: 0.8757, build_memory: 1565623998.4, f_measure: 0.5907, kappa: 0.165, kb_relative_information_score: 82.0051, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5899, predictive_accuracy: 0.592, prior_entropy: 0.9875, recall: 0.592, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.1781, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 1.293, build_memory: 707179772.8, f_measure: 0.5982, kappa: 0.1796, kb_relative_information_score: 84.9422, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.6, prior_entropy: 0.9875, recall: 0.6, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.589, root_relative_squared_error: 1.1883, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, build_cpu_time: 1.5214, build_memory: 1661900651.2, f_measure: 0.6043, kappa: 0.1924, kb_relative_information_score: 85.824, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6035, predictive_accuracy: 0.606, prior_entropy: 0.9875, recall: 0.606, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.1914, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, build_cpu_time: 1.5177, build_memory: 1714532386.4, f_measure: 0.6043, kappa: 0.1924, kb_relative_information_score: 85.824, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6035, predictive_accuracy: 0.606, prior_entropy: 0.9875, recall: 0.606, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.1914, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, build_cpu_time: 144.8096, build_memory: 428225143.2, f_measure: 0.7979, kappa: 0.5886, kb_relative_information_score: 282.6346, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7979, predictive_accuracy: 0.798, prior_entropy: 0.9875, recall: 0.798, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8096, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 359.3778, build_memory: 1200906836.8, f_measure: 0.8136, kappa: 0.62, kb_relative_information_score: 307.8901, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8135, predictive_accuracy: 0.814, prior_entropy: 0.9875, recall: 0.814, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8053, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 631.1006, build_memory: 988458672.8, f_measure: 0.8351, kappa: 0.6633, kb_relative_information_score: 333.1273, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9875, recall: 0.836, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7767, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 2506.3311, build_memory: 89553450.4, f_measure: 0.8517, kappa: 0.6978, kb_relative_information_score: 348.5165, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9875, recall: 0.852, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7665, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, build_cpu_time: 425.5253, build_memory: 346030921.6, f_measure: 0.7793, kappa: 0.5498, kb_relative_information_score: 272.8189, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9875, recall: 0.78, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9461, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, build_cpu_time: 207.053, build_memory: 613496194.4, f_measure: 0.7631, kappa: 0.5165, kb_relative_information_score: 257.2815, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7631, predictive_accuracy: 0.764, prior_entropy: 0.9875, recall: 0.764, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9743, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, build_cpu_time: 105.0059, build_memory: 72064010.4, f_measure: 0.7734, kappa: 0.5377, kb_relative_information_score: 266.8516, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7733, predictive_accuracy: 0.774, prior_entropy: 0.9875, recall: 0.774, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9459, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 50.2416, build_memory: 1302324359.2, f_measure: 0.7717, kappa: 0.5349, kb_relative_information_score: 260.3042, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7716, predictive_accuracy: 0.772, prior_entropy: 0.9875, recall: 0.772, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9375, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 25.4083, build_memory: 83359777.6, f_measure: 0.7624, kappa: 0.5174, kb_relative_information_score: 250.8036, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7631, predictive_accuracy: 0.762, prior_entropy: 0.9875, recall: 0.762, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9262, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 4.3533, build_memory: 771693098.4, f_measure: 0.8355, kappa: 0.6644, kb_relative_information_score: 321.4243, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9875, recall: 0.836, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7616, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, build_cpu_time: 8.1847, build_memory: 373443488, f_measure: 0.8456, kappa: 0.685, kb_relative_information_score: 342.8686, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9875, recall: 0.846, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7502, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, build_cpu_time: 18.2986, build_memory: 481468830.4, f_measure: 0.8514, kappa: 0.6968, kb_relative_information_score: 347.038, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9875, recall: 0.852, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7496, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, build_cpu_time: 32.29, build_memory: 310670405.6, f_measure: 0.8553, kappa: 0.7047, kb_relative_information_score: 356.0197, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7416, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 65.3861, build_memory: 712361856.8, f_measure: 0.8673, kappa: 0.729, kb_relative_information_score: 365.4071, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9875, recall: 0.868, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7244, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 17.6271, build_memory: 632964830.4, f_measure: 0.8633, kappa: 0.7208, kb_relative_information_score: 359.8258, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7279, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, build_cpu_time: 9.7218, build_memory: 1180771879.2, f_measure: 0.8714, kappa: 0.7375, kb_relative_information_score: 367.4612, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8722, predictive_accuracy: 0.872, prior_entropy: 0.9875, recall: 0.872, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7045, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, build_cpu_time: 5.4357, build_memory: 3491009580.8, f_measure: 0.8653, kappa: 0.725, kb_relative_information_score: 360.1054, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 0.9875, recall: 0.866, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7102, scimark_benchmark: 927.3354,

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