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OpenML
Task
Supervised Classification on fri_c4_100_100

Supervised Classification on fri_c4_100_100

Task 3693 Supervised Classification fri_c4_100_100 536 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
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: 0.489, f_measure: 0.5102, kappa: 0.0176, kb_relative_information_score: -1.4305, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5106, predictive_accuracy: 0.51, prior_entropy: 0.9975, recall: 0.51, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.1356, scimark_benchmark: 1324.8395, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 17.5791, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2829, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.4252, kappa: 0.0474, kb_relative_information_score: 9.5391, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6396, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3441, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 28.0899, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8938, scimark_benchmark: 934.6432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5475, kappa: 0.0913, kb_relative_information_score: 9.5391, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5477, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3441, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.5678, kappa: 0.1425, kb_relative_information_score: 8.575, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5791, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9889, scimark_benchmark: 934.6432, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7796, kappa: 0.5626, kb_relative_information_score: 42.8582, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7894, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7919, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7901, kappa: 0.579, kb_relative_information_score: 50.7376, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8312, scimark_benchmark: 1372.2145, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6772, kappa: 0.3648, kb_relative_information_score: 12.0654, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7086, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9208, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6857, kappa: 0.3709, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.693, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 41.0126, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8576, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7888, kappa: 0.584, kb_relative_information_score: 45.9258, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8073, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7904, scimark_benchmark: 1327.6929, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.68, kappa: 0.3577, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, scimark_benchmark: 1359.379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 1335.4072, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.5426, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.083, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7084, kappa: 0.4144, kb_relative_information_score: 41.6994, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.079, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7381, kappa: 0.4856, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7582, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7493, kappa: 0.4964, kb_relative_information_score: 48.037, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9874, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6172, kappa: 0.2317, kb_relative_information_score: 22.8131, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2132, scimark_benchmark: 931.2336, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 18.5094, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6259, root_relative_squared_error: 1.2541, scimark_benchmark: 941.7954, usercpu_time_millis: 560, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.58, kappa: 0.157, kb_relative_information_score: 15.9089, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6392, root_relative_squared_error: 1.2807, scimark_benchmark: 923.7642, usercpu_time_millis: 1100, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5902, kappa: 0.178, kb_relative_information_score: 17.8515, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5905, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.2717, scimark_benchmark: 894.7455, usercpu_time_millis: 2210, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7098, kappa: 0.4228, kb_relative_information_score: 43.1236, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7166, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0303, scimark_benchmark: 911.3823, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7501, kappa: 0.5012, kb_relative_information_score: 50.0322, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.754, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9566, scimark_benchmark: 943.2817, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7784, kappa: 0.5647, kb_relative_information_score: 55.479, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7999, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8853, scimark_benchmark: 938.2848, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7775, kappa: 0.5657, kb_relative_information_score: 55.8525, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.807, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8699, scimark_benchmark: 933.8635, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7968, kappa: 0.6061, kb_relative_information_score: 56.9299, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8371, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8846, scimark_benchmark: 938.9865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 55.198, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9049, scimark_benchmark: 936.6206, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 46.301, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9315, scimark_benchmark: 924.6116, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 45.938, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8978, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 46.2889, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.857, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, build_cpu_time: 0.3329, build_memory: 618362198.4, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 58.2532, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.894, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, build_cpu_time: 0.1753, build_memory: 1264814287.2, f_measure: 0.6902, kappa: 0.3785, kb_relative_information_score: 39.4846, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6904, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0731, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 0.1234, build_memory: 905715588.8, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 47.5368, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9702, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.062, build_memory: 1879343918.4, f_measure: 0.6787, kappa: 0.3546, kb_relative_information_score: 35.5825, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0426, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, build_cpu_time: 0.0203, build_memory: 820351137.6, f_measure: 0.68, kappa: 0.3577, kb_relative_information_score: 29.9801, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0257, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, build_cpu_time: 0.0896, build_memory: 639942212, f_measure: 0.5582, kappa: 0.1125, kb_relative_information_score: 13.058, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5582, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6437, root_relative_squared_error: 1.2898, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, build_cpu_time: 0.1786, build_memory: 1549531290.4, f_measure: 0.5897, kappa: 0.176, kb_relative_information_score: 16.7316, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5895, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6314, root_relative_squared_error: 1.265, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, build_cpu_time: 0.3548, build_memory: 786736117.6, f_measure: 0.5688, kappa: 0.1338, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5687, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6424, root_relative_squared_error: 1.2872, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, build_cpu_time: 0.7156, build_memory: 1135446156.8, f_measure: 0.6, kappa: 0.1971, kb_relative_information_score: 20.24, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6242, root_relative_squared_error: 1.2507, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 1.5823, build_memory: 864450634.4, f_measure: 0.5702, kappa: 0.1379, kb_relative_information_score: 14.132, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5705, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6509, root_relative_squared_error: 1.3042, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, build_cpu_time: 5.2941, build_memory: 743408539.2, f_measure: 0.7293, kappa: 0.4561, kb_relative_information_score: 41.4819, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7299, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9922, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, build_cpu_time: 9.99, build_memory: 608005481.6, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.5558, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0753, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, build_cpu_time: 20.8468, build_memory: 3291128416, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 43.3301, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0135, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, build_cpu_time: 41.79, build_memory: 853422436.8, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 50.6566, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.958, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, build_cpu_time: 85.2005, build_memory: 15687235.2, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.9498, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0113, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, build_cpu_time: 21.4287, build_memory: 263149637.6, f_measure: 0.5897, kappa: 0.176, kb_relative_information_score: 17.6582, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5895, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6395, root_relative_squared_error: 1.2813, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, build_cpu_time: 10.8578, build_memory: 2480665896.8, f_measure: 0.5897, kappa: 0.176, kb_relative_information_score: 16.2166, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5895, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6406, root_relative_squared_error: 1.2835, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 2.7101, build_memory: 118868294.4, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 17.4398, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.2587, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, build_cpu_time: 1.5318, build_memory: 99391784.8, f_measure: 0.6, kappa: 0.1971, kb_relative_information_score: 18.3661, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6024, root_relative_squared_error: 1.2069, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 0.7477, build_memory: 352195186.4, f_measure: 0.7101, kappa: 0.4186, kb_relative_information_score: 38.8131, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.0682, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, build_cpu_time: 1.6194, build_memory: 1304626701.6, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 39.8111, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0591, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, build_cpu_time: 3.3126, build_memory: 849103724, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 46.2778, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0147, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, build_cpu_time: 5.9798, build_memory: 778024226.4, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 51.7435, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9705, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, build_cpu_time: 0.6174, build_memory: 1315672515.2, f_measure: 0.68, kappa: 0.3577, kb_relative_information_score: 36.4183, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.539, root_relative_squared_error: 1.08, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, build_cpu_time: 0.424, build_memory: 293266227.2, f_measure: 0.6787, kappa: 0.3546, kb_relative_information_score: 37.5296, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5285, root_relative_squared_error: 1.0589, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, build_cpu_time: 0.2423, build_memory: 2030479505.6, f_measure: 0.6691, kappa: 0.3352, kb_relative_information_score: 33.7488, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6694, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.0801, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, build_cpu_time: 0.1338, build_memory: 1524415866.4, f_measure: 0.6586, kappa: 0.3142, kb_relative_information_score: 32.5793, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6594, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0517, scimark_benchmark: 916.1588,

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