OpenML
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 3732 Supervised Classification fri_c4_100_25 562 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, build_cpu_time: 0.0035, build_memory: 49111512, f_measure: 0.6205, kappa: 0.2376, kb_relative_information_score: 21.8351, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0724, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, build_cpu_time: 0.0113, build_memory: 1025586053.6, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, build_cpu_time: 0.0117, build_memory: 209350605.6, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, build_cpu_time: 0.0124, build_memory: 107733221.6, f_measure: 0.7298, kappa: 0.4556, kb_relative_information_score: 41.6089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7297, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8623, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, build_cpu_time: 0.0132, build_memory: 74552652, f_measure: 0.7298, kappa: 0.4556, kb_relative_information_score: 41.6089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7297, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8623, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, build_cpu_time: 0.0001, build_memory: 75763662.4, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, build_cpu_time: 0.0002, build_memory: 425338416, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, build_cpu_time: 0.0007, build_memory: 41340856, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 33.8909, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9385, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, build_cpu_time: 0.0194, build_memory: 651190062.4, f_measure: 0.6605, kappa: 0.32, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6632, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, build_cpu_time: 0.0221, build_memory: 1724446448.8, f_measure: 0.6605, kappa: 0.32, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6632, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 938.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.1302, build_memory: 421534794.4, f_measure: 0.6505, kappa: 0.2989, kb_relative_information_score: 15.9741, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6522, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0596, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, build_cpu_time: 0.1203, build_memory: 701128764, f_measure: 0.6593, kappa: 0.3134, kb_relative_information_score: 25.6848, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6592, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9997, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.2711, build_memory: 3129197274.4, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 26.7834, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9836, scimark_benchmark: 943.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.2188, build_memory: 1832731076.8, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 26.7834, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9836, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, build_cpu_time: 0.4509, build_memory: 350840955.2, f_measure: 0.6905, kappa: 0.381, kb_relative_information_score: 27.2711, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6944, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9807, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, build_cpu_time: 0.8634, build_memory: 1191419737.6, f_measure: 0.6905, kappa: 0.379, kb_relative_information_score: 28.0398, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6922, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9736, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 0.15, build_memory: 957637488.8, f_measure: 0.7675, kappa: 0.5318, kb_relative_information_score: 34.5272, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7729, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7692, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 0.1438, build_memory: 1587992812.8, f_measure: 0.7675, kappa: 0.5318, kb_relative_information_score: 34.5272, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7729, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7692, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 0.1318, build_memory: 174604662.4, f_measure: 0.7675, kappa: 0.5318, kb_relative_information_score: 34.5272, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7729, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7692, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 0.0851, build_memory: 1341131861.6, f_measure: 0.7378, kappa: 0.4715, kb_relative_information_score: 34.127, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7745, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 0.0856, build_memory: 140130405.6, f_measure: 0.7378, kappa: 0.4715, kb_relative_information_score: 34.127, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7745, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 0.0473, build_memory: 1100962457.6, f_measure: 0.7568, kappa: 0.5106, kb_relative_information_score: 33.2267, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7638, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7863, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 0.0421, build_memory: 1652420772.8, f_measure: 0.7568, kappa: 0.5106, kb_relative_information_score: 33.2267, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7638, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7863, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.0405, build_memory: 841686878.4, f_measure: 0.7698, kappa: 0.5363, kb_relative_information_score: 34.0289, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7697, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7694, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 4.0226, build_memory: 2141109041.6, f_measure: 0.7877, kappa: 0.5725, kb_relative_information_score: 29.8339, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7935, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7963, scimark_benchmark: 894.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.2852, build_memory: 1650367940, f_measure: 0.7854, kappa: 0.5697, kb_relative_information_score: 29.4105, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8014, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8065, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.2346, build_memory: 1192310153.6, f_measure: 0.7854, kappa: 0.5697, kb_relative_information_score: 29.4105, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8014, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8065, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 0.0094, build_memory: 946300135.2, f_measure: 0.7271, kappa: 0.4503, kb_relative_information_score: 32.9211, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7316, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.855, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 0.0094, build_memory: 355806400, f_measure: 0.7271, kappa: 0.4503, kb_relative_information_score: 32.9211, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7316, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.855, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, build_cpu_time: 0.439, build_memory: 686897777.6, f_measure: 0.7387, kappa: 0.4733, kb_relative_information_score: 29.6376, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8287, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, build_cpu_time: 0.0203, build_memory: 681562022.4, f_measure: 0.78, kappa: 0.5572, kb_relative_information_score: 38.9058, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7781, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, build_cpu_time: 0.2102, build_memory: 948658551.2, f_measure: 0.7291, kappa: 0.4539, kb_relative_information_score: 30.2988, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8298, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, build_cpu_time: 0.0688, build_memory: 275244832.8, f_measure: 0.7703, kappa: 0.5393, kb_relative_information_score: 39.0263, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7721, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7798, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 0.0742, build_memory: 323319047.2, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 32.8867, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8898, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.006, build_memory: 38968171.2, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 32.4161, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.958, scimark_benchmark: 940.5081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.0068, build_memory: 58462526.4, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 32.4161, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.958, scimark_benchmark: 940.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.0053, build_memory: 227204877.6, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 32.4161, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.958, scimark_benchmark: 922.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, build_cpu_time: 0.0054, build_memory: 60548130.4, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 32.4161, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.958, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, build_cpu_time: 37.9501, build_memory: 440093781.6, f_measure: 0.6805, kappa: 0.36, kb_relative_information_score: 25.7985, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6832, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9732, scimark_benchmark: 935.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, build_cpu_time: 84.9127, build_memory: 585249360, f_measure: 0.6705, kappa: 0.3389, kb_relative_information_score: 25.9992, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6722, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9663, scimark_benchmark: 942.3742,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.0054, build_memory: 1316738583.2, f_measure: 0.7555, kappa: 0.509, kb_relative_information_score: 28.2675, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7671, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8442, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, build_cpu_time: 0.0023, build_memory: 937178014.4, f_measure: 0.754, kappa: 0.5074, kb_relative_information_score: 28.0249, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7716, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8511, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 0.001, build_memory: 535575658.4, f_measure: 0.7335, kappa: 0.4663, kb_relative_information_score: 29.4609, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8489, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, build_cpu_time: 0.4937, build_memory: 2070991856.8, f_measure: 0.7081, kappa: 0.4115, kb_relative_information_score: 31.5883, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7098, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.868, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 1.4703, build_memory: 164436001.6, f_measure: 0.709, kappa: 0.4134, kb_relative_information_score: 31.5558, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8632, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 1.1874, build_memory: 868329337.6, f_measure: 0.709, kappa: 0.4134, kb_relative_information_score: 31.5212, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8635, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 2.2941, build_memory: 1982046892, f_measure: 0.7403, kappa: 0.4783, kb_relative_information_score: 33.0372, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7412, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8452, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, build_cpu_time: 4.5182, build_memory: 118270360.8, f_measure: 0.7203, kappa: 0.4382, kb_relative_information_score: 33.2961, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7213, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8419, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, build_cpu_time: 9.7686, build_memory: 2260292647.2, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 31.8675, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.854, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.3392, build_memory: 1546713269.6, f_measure: 0.7403, kappa: 0.4783, kb_relative_information_score: 44.2008, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7412, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8867, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 0.1657, build_memory: 907013923.2, f_measure: 0.7403, kappa: 0.4783, kb_relative_information_score: 44.2015, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7412, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8867, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, build_cpu_time: 0.1249, build_memory: 925713215.2, f_measure: 0.7504, kappa: 0.4992, kb_relative_information_score: 46.1781, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7521, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8626, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, build_cpu_time: 0.0437, build_memory: 1551802588, f_measure: 0.7304, kappa: 0.4591, kb_relative_information_score: 43.5123, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7321, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8837, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, build_cpu_time: 0.0264, build_memory: 1158742922.4, f_measure: 0.76, kappa: 0.5169, kb_relative_information_score: 47.7887, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8299, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, build_cpu_time: 0.3, build_memory: 2339239005.6, f_measure: 0.808, kappa: 0.6132, kb_relative_information_score: 40.6129, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8141, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7306, scimark_benchmark: 944.5875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, build_cpu_time: 0.6907, build_memory: 1768526646.4, f_measure: 0.8392, kappa: 0.6759, kb_relative_information_score: 41.8485, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7193, scimark_benchmark: 924.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.2033, build_memory: 814974056, f_measure: 0.7983, kappa: 0.5935, kb_relative_information_score: 39.9635, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7416, scimark_benchmark: 943.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.1231, build_memory: 2289567593.6, f_measure: 0.7886, kappa: 0.5739, kb_relative_information_score: 39.1197, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7913, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7508, scimark_benchmark: 898.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, build_cpu_time: 0.0732, build_memory: 133166237.6, f_measure: 0.808, kappa: 0.6132, kb_relative_information_score: 41.0999, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8141, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.738, scimark_benchmark: 949.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.0254, build_memory: 3886308104, f_measure: 0.7983, kappa: 0.5935, kb_relative_information_score: 40.0945, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.765, scimark_benchmark: 945.3859,

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