OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 47 Supervised Classification tae 940 runs submitted
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  • basic study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, build_cpu_time: 0.2209, build_memory: 90002867.4967, f_measure: 0.6423, kappa: 0.4637, kb_relative_information_score: 78.5867, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0065, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, build_cpu_time: 0.1194, build_memory: 151655244.7682, f_measure: 0.6423, kappa: 0.4637, kb_relative_information_score: 78.6312, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0063, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, build_cpu_time: 0.0018, build_memory: 162442720.9007, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, build_cpu_time: 0.0023, build_memory: 45926055.5232, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, build_cpu_time: 0.0264, build_memory: 24916681.0066, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, build_cpu_time: 0.354, build_memory: 942086250.543, f_measure: 0.6494, kappa: 0.4739, kb_relative_information_score: 78.3847, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6526, predictive_accuracy: 0.649, prior_entropy: 1.5845, recall: 0.649, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9386, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 0.2943, build_memory: 150383222.8344, f_measure: 0.6628, kappa: 0.4937, kb_relative_information_score: 77.4056, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6651, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9148, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 0.1222, build_memory: 1000797463.6291, f_measure: 0.6494, kappa: 0.4736, kb_relative_information_score: 71.6044, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6502, predictive_accuracy: 0.649, prior_entropy: 1.5845, recall: 0.649, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8846, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, build_cpu_time: 0.0001, build_memory: 92314802.1192, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, build_cpu_time: 0.0398, build_memory: 316665394.543, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, build_cpu_time: 0.0123, build_memory: 437696110.4636, f_measure: 0.4545, kappa: 0.1814, kb_relative_information_score: 19.9976, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4856, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9956, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, build_memory: 949814152.2649, f_measure: 0.6423, kappa: 0.4637, kb_relative_information_score: 76.9706, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6432, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, build_cpu_time: 0.0189, build_memory: 561253693.5099, f_measure: 0.1764, kb_relative_information_score: 13.7521, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1491, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, build_cpu_time: 0.014, build_memory: 387471383.5232, f_measure: 0.5322, kappa: 0.3059, kb_relative_information_score: 40.9731, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5385, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9913, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, build_cpu_time: 0.0032, build_memory: 463336480, f_measure: 0.5248, kappa: 0.2962, kb_relative_information_score: 25.6203, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5344, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9791, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.0002, build_memory: 221798732.1854, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.0002, build_memory: 207524391.7351, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, build_cpu_time: 0.0046, build_memory: 296325666.3841, f_measure: 0.5801, kappa: 0.375, kb_relative_information_score: 37.0253, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5835, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9311, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, build_cpu_time: 0.0002, build_memory: 585851636.8212, f_measure: 0.5031, kappa: 0.2546, kb_relative_information_score: 48.2563, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5032, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.2209, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, build_cpu_time: 0.0004, build_memory: 790377568, f_measure: 0.5031, kappa: 0.2546, kb_relative_information_score: 48.2563, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5032, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.2209, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0019, build_memory: 227370442.2252, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0019, build_memory: 744194584, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.0003, build_memory: 193804912, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.0003, build_memory: 169022122.1192, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.0004, build_memory: 59673418.596, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9575, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9828, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, build_cpu_time: 0.1221, build_memory: 905936425.5894, f_measure: 0.4824, kappa: 0.2371, kb_relative_information_score: 34.731, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4933, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9938, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, build_cpu_time: 0.2853, build_memory: 653881783.7881, f_measure: 0.5, kappa: 0.2668, kb_relative_information_score: 33.5845, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.51, predictive_accuracy: 0.5099, prior_entropy: 1.5845, recall: 0.5099, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9872, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, build_cpu_time: 0.4688, build_memory: 731889324.2914, f_measure: 0.5147, kappa: 0.2863, kb_relative_information_score: 34.2043, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5252, predictive_accuracy: 0.5232, prior_entropy: 1.5845, recall: 0.5232, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9792, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, build_cpu_time: 0.8969, build_memory: 1245799657.1126, f_measure: 0.5233, kappa: 0.2962, kb_relative_information_score: 34.5767, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5316, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9764, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, build_cpu_time: 1.7494, build_memory: 3304820703.3642, f_measure: 0.5246, kappa: 0.2961, kb_relative_information_score: 34.9731, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5323, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9742, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, build_cpu_time: 0.0933, build_memory: 433564016.3709, f_measure: 0.5721, kappa: 0.3643, kb_relative_information_score: 35.9476, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5717, predictive_accuracy: 0.5762, prior_entropy: 1.5845, recall: 0.5762, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9169, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, build_cpu_time: 0.046, build_memory: 355564649.2715, f_measure: 0.5784, kappa: 0.374, kb_relative_information_score: 36.047, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5768, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9158, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, build_cpu_time: 0.0268, build_memory: 1411822687.8411, f_measure: 0.585, kappa: 0.384, kb_relative_information_score: 37.8683, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5845, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9111, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, build_cpu_time: 0.0113, build_memory: 2989016852.5563, f_measure: 0.6619, kappa: 0.4934, kb_relative_information_score: 65.1335, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6619, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8602, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, build_cpu_time: 0.0232, build_memory: 93670918.5695, f_measure: 0.6944, kappa: 0.5428, kb_relative_information_score: 66.4983, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6945, predictive_accuracy: 0.6954, prior_entropy: 1.5845, recall: 0.6954, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8369, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 0.0719, build_memory: 354071531.2318, f_measure: 0.6885, kappa: 0.5329, kb_relative_information_score: 65.8003, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6883, predictive_accuracy: 0.6887, prior_entropy: 1.5845, recall: 0.6887, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8342, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, build_cpu_time: 4.8133, build_memory: 2736553429.6689, f_measure: 0.6692, kappa: 0.503, kb_relative_information_score: 55.1194, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6699, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8554, scimark_benchmark: 912.68,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 0.0021, build_memory: 43487863.0464, f_measure: 0.5611, kappa: 0.3443, kb_relative_information_score: 55.374, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5626, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0118, scimark_benchmark: 943.7642,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.5414, kappa: 0.3152, kb_relative_information_score: 23.7869, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.543, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9519, scimark_benchmark: 930.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 937.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.4424, kappa: 0.1644, kb_relative_information_score: 15.0845, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4443, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.46, root_relative_squared_error: 0.976, scimark_benchmark: 594.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6703, kappa: 0.5028, kb_relative_information_score: 76.252, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6744, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891, scimark_benchmark: 593.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.5487, kappa: 0.3244, kb_relative_information_score: 34.8856, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5483, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9244, scimark_benchmark: 945.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 23.2719, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9636, scimark_benchmark: 898.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.6561, kappa: 0.4835, kb_relative_information_score: 80.3284, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6574, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9464, scimark_benchmark: 896.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.407, kappa: 0.179, kb_relative_information_score: 20.6852, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4465, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9825, scimark_benchmark: 899.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.6948, kappa: 0.543, kb_relative_information_score: 85.5419, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6946, predictive_accuracy: 0.6954, prior_entropy: 1.5845, recall: 0.6954, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9262, scimark_benchmark: 900.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.6552, kappa: 0.4835, kb_relative_information_score: 79.2018, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6566, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0137, scimark_benchmark: 596.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.6623, kappa: 0.493, kb_relative_information_score: 78.4836, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6627, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9494, scimark_benchmark: 591.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.6628, kappa: 0.4937, kb_relative_information_score: 77.4056, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6651, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9148, scimark_benchmark: 896.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.562, kappa: 0.3443, kb_relative_information_score: 42.7144, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5623, predictive_accuracy: 0.5629, prior_entropy: 1.5845, recall: 0.5629, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9428, scimark_benchmark: 944.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.3827, kappa: 0.159, kb_relative_information_score: 17.7281, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3965, predictive_accuracy: 0.4371, prior_entropy: 1.5845, recall: 0.4371, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9888, scimark_benchmark: 595.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.6953, kappa: 0.5431, kb_relative_information_score: 86.9795, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6955, predictive_accuracy: 0.6954, prior_entropy: 1.5845, recall: 0.6954, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9054, scimark_benchmark: 898.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6821, kappa: 0.5233, kb_relative_information_score: 76.8337, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6828, predictive_accuracy: 0.6821, prior_entropy: 1.5845, recall: 0.6821, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8385, scimark_benchmark: 929.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.5429, kappa: 0.3143, kb_relative_information_score: 36.0028, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5428, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.95, scimark_benchmark: 938.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5577, kappa: 0.336, kb_relative_information_score: 52.8138, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5752, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.019, scimark_benchmark: 932.0989,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs