OpenML
Supervised Classification on re0.wc

Supervised Classification on re0.wc

Task 4231 Supervised Classification re0.wc 93 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6857, kappa: 0.6126, kb_relative_information_score: 8523.0648, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.6795, predictive_accuracy: 0.714, prior_entropy: 2.6539, recall: 0.714, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7333, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.7784, kappa: 0.7151, kb_relative_information_score: 10347.8984, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.782, predictive_accuracy: 0.7866, prior_entropy: 2.6539, recall: 0.7866, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.6418, scimark_benchmark: 936.9759, usercpu_time_millis: 1068440, usercpu_time_millis_testing: 306440, usercpu_time_millis_training: 762000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7748, kappa: 0.7107, kb_relative_information_score: 10319.0651, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7779, predictive_accuracy: 0.783, prior_entropy: 2.6539, recall: 0.783, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.6508, scimark_benchmark: 932.438, usercpu_time_millis: 544420, usercpu_time_millis_testing: 168720, usercpu_time_millis_training: 375700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 942.2392, usercpu_time_millis: 15170, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 14880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6857, kappa: 0.6126, kb_relative_information_score: 8523.0648, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.6795, predictive_accuracy: 0.714, prior_entropy: 2.6539, recall: 0.714, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7333, scimark_benchmark: 940.1541, usercpu_time_millis: 226480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 226470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7664, kappa: 0.6986, kb_relative_information_score: 10274.7314, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.767, predictive_accuracy: 0.7735, prior_entropy: 2.6539, recall: 0.7735, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.6702, scimark_benchmark: 936.7184, usercpu_time_millis: 6679880, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 6679640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.2328, kb_relative_information_score: 88.0886, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2423, root_relative_squared_error: 1.0001, scimark_benchmark: 926.5859, usercpu_time_millis: 12560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 938.3115, usercpu_time_millis: 4140, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 936.1714, usercpu_time_millis: 3950, usercpu_time_millis_training: 3950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 941.9549, usercpu_time_millis: 4310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 929.0296, usercpu_time_millis: 4140, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 940.0055, usercpu_time_millis: 4090, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2328, kb_relative_information_score: 2355.3459, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.2498, scimark_benchmark: 922.8232, usercpu_time_millis: 380, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8157, kappa: 0.7596, kb_relative_information_score: 10814.7272, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8222, predictive_accuracy: 0.8213, prior_entropy: 2.6539, recall: 0.8213, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.5919, scimark_benchmark: 941.9549, usercpu_time_millis: 525860, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 525510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.2987, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3329, predictive_accuracy: 0.5373, prior_entropy: 2.6539, recall: 0.5373, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9186, scimark_benchmark: 933.0918, usercpu_time_millis: 1710, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 934.929, usercpu_time_millis: 15050, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 14760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6857, kappa: 0.6126, kb_relative_information_score: 8523.0648, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.6795, predictive_accuracy: 0.714, prior_entropy: 2.6539, recall: 0.714, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7333, scimark_benchmark: 922.9595, usercpu_time_millis: 228650, usercpu_time_millis_training: 228650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.3743, kappa: 0.2192, kb_relative_information_score: 1790.1396, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.304, predictive_accuracy: 0.4929, prior_entropy: 2.6539, recall: 0.4929, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9503, scimark_benchmark: 935.627, usercpu_time_millis: 1195830, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1195400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 945.988, usercpu_time_millis: 15860, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 15560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8354, kappa: 0.7839, kb_relative_information_score: 11821.2518, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8361, predictive_accuracy: 0.837, prior_entropy: 2.6539, recall: 0.837, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.143, root_relative_squared_error: 0.5904, scimark_benchmark: 1360.6367, usercpu_time_millis: 2371380, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 2369660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6857, kappa: 0.6126, kb_relative_information_score: 8523.0648, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.6795, predictive_accuracy: 0.714, prior_entropy: 2.6539, recall: 0.714, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7333, scimark_benchmark: 1330.3852, usercpu_time_millis: 156330, usercpu_time_millis_training: 156330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.752, kappa: 0.6826, kb_relative_information_score: 9733.1715, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7585, predictive_accuracy: 0.7642, prior_entropy: 2.6539, recall: 0.7642, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.7524, scimark_benchmark: 1330.4755, usercpu_time_millis: 56520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 56480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.2328, kb_relative_information_score: 5.8886, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2422, root_relative_squared_error: 1, scimark_benchmark: 1364.991, usercpu_time_millis: 25420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 1330.8256, usercpu_time_millis: 10840, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 10600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 1329.8937, usercpu_time_millis: 10890, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 3035.9808, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9271, scimark_benchmark: 1352.2099, usercpu_time_millis: 2730650, usercpu_time_millis_testing: 2730640, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8511, kappa: 0.8046, kb_relative_information_score: 12173.0391, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8515, predictive_accuracy: 0.8512, prior_entropy: 2.6539, recall: 0.8512, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.6246, scimark_benchmark: 1301.1661, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7141, kappa: 0.6243, kb_relative_information_score: 9650.0277, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.734, predictive_accuracy: 0.7146, prior_entropy: 2.6539, recall: 0.7146, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.7701, scimark_benchmark: 1352.2099, usercpu_time_millis: 2347030, usercpu_time_millis_testing: 2347030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8476, kappa: 0.8007, kb_relative_information_score: 12171.6496, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8477, predictive_accuracy: 0.8497, prior_entropy: 2.6539, recall: 0.8497, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5565, scimark_benchmark: 1368.9272, usercpu_time_millis: 2290380, usercpu_time_millis_training: 2290380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7531, kappa: 0.6782, kb_relative_information_score: 9746.1798, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 2.6539, recall: 0.7591, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.7343, scimark_benchmark: 1339.9935, usercpu_time_millis: 87140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 87130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7627, kappa: 0.6912, kb_relative_information_score: 10175.0462, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7632, predictive_accuracy: 0.7657, prior_entropy: 2.6539, recall: 0.7657, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.7314, scimark_benchmark: 1321.5205, usercpu_time_millis: 10290, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 10080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8443, kappa: 0.7966, kb_relative_information_score: 12110.7886, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8443, predictive_accuracy: 0.8463, prior_entropy: 2.6539, recall: 0.8463, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5803, scimark_benchmark: 1339.0817, usercpu_time_millis: 4507380, usercpu_time_millis_training: 4507380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.7876, kappa: 0.7317, kb_relative_information_score: 9359.2069, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8236, predictive_accuracy: 0.8051, prior_entropy: 2.6539, recall: 0.8051, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6469, scimark_benchmark: 909.1698, usercpu_time_millis: 447760, usercpu_time_millis_testing: 8800, usercpu_time_millis_training: 438960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7852, kappa: 0.7278, kb_relative_information_score: 9361.7299, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8175, predictive_accuracy: 0.8021, prior_entropy: 2.6539, recall: 0.8021, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6481, scimark_benchmark: 1347.5461, usercpu_time_millis: 176170, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 171800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8132, kappa: 0.7556, kb_relative_information_score: 11501.7969, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8166, predictive_accuracy: 0.818, prior_entropy: 2.6539, recall: 0.818, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6325, scimark_benchmark: 932.0242, usercpu_time_millis: 556670, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 556630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 930.5999, usercpu_time_millis: 3610, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1324.8395, usercpu_time_millis: 3940, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 915.9693, usercpu_time_millis: 4110, usercpu_time_millis_training: 4110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1304.6687, usercpu_time_millis: 3320, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.4108, kappa: 0.2964, kb_relative_information_score: 2926.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3328, predictive_accuracy: 0.5372, prior_entropy: 2.6539, recall: 0.5372, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9285, scimark_benchmark: 1333.5799, usercpu_time_millis: 3740, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.5422, kappa: 0.4215, kb_relative_information_score: 7226.3868, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.617, predictive_accuracy: 0.57, prior_entropy: 2.6539, recall: 0.57, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8578, scimark_benchmark: 1325.2092, usercpu_time_millis: 4320, usercpu_time_millis_testing: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.5435, kappa: 0.4225, kb_relative_information_score: 7719.3618, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.6243, predictive_accuracy: 0.5535, prior_entropy: 2.6539, recall: 0.5535, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.87, scimark_benchmark: 854.5188, usercpu_time_millis: 5090, usercpu_time_millis_testing: 5090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.3969, kappa: 0.2172, kb_relative_information_score: 441.3217, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.5658, predictive_accuracy: 0.5098, prior_entropy: 2.6539, recall: 0.5098, relative_absolute_error: 1.1351, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0504, scimark_benchmark: 869.6028, usercpu_time_millis: 21880, usercpu_time_millis_testing: 17400, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8355, kappa: 0.7839, kb_relative_information_score: 11791.128, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8364, predictive_accuracy: 0.8372, prior_entropy: 2.6539, recall: 0.8372, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.5866, scimark_benchmark: 942.9708, usercpu_time_millis: 712170, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 710080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7452, kappa: 0.6604, kb_relative_information_score: 1604.1856, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7602, predictive_accuracy: 0.7517, prior_entropy: 2.6539, recall: 0.7517, relative_absolute_error: 1.1171, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2502, root_relative_squared_error: 1.033, scimark_benchmark: 1287.514, usercpu_time_millis: 3720, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8505, kappa: 0.8038, kb_relative_information_score: 12162.4413, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8509, predictive_accuracy: 0.8506, prior_entropy: 2.6539, recall: 0.8506, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.6259, scimark_benchmark: 1337.7959, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.7863, kappa: 0.7273, kb_relative_information_score: 8919.7835, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8099, predictive_accuracy: 0.8015, prior_entropy: 2.6539, recall: 0.8015, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.6784, scimark_benchmark: 1319.6463, usercpu_time_millis: 18840, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 18300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.5956, kappa: 0.4702, kb_relative_information_score: 7008.3104, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.5959, predictive_accuracy: 0.5957, prior_entropy: 2.6539, recall: 0.5957, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2476, root_relative_squared_error: 1.0221, scimark_benchmark: 1313.5726, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7225, kappa: 0.6411, kb_relative_information_score: 9084.1569, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7233, predictive_accuracy: 0.7309, prior_entropy: 2.6539, recall: 0.7309, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.7364, scimark_benchmark: 1319.9043, usercpu_time_millis: 9370, usercpu_time_millis_training: 9370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7539, kappa: 0.6818, kb_relative_information_score: 9456.8433, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7571, predictive_accuracy: 0.7625, prior_entropy: 2.6539, recall: 0.7625, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.7157, scimark_benchmark: 1319.9043, usercpu_time_millis: 95100, usercpu_time_millis_training: 95100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7056, kappa: 0.6157, kb_relative_information_score: 9132.604, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7241, predictive_accuracy: 0.716, prior_entropy: 2.6539, recall: 0.716, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.209, root_relative_squared_error: 0.863, scimark_benchmark: 1355.9413, usercpu_time_millis: 277870, usercpu_time_millis_testing: 143490, usercpu_time_millis_training: 134380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.3223, kappa: 0.1621, kb_relative_information_score: 1517.7318, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.8547, predictive_accuracy: 0.2294, prior_entropy: 2.6539, recall: 0.2294, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.4214, scimark_benchmark: 1325.942, usercpu_time_millis: 124270, usercpu_time_millis_testing: 21850, usercpu_time_millis_training: 102420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7357, kappa: 0.6558, kb_relative_information_score: 9865.1607, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7366, predictive_accuracy: 0.7363, prior_entropy: 2.6539, recall: 0.7363, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.191, root_relative_squared_error: 0.7886, scimark_benchmark: 1339.4189, usercpu_time_millis: 222330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 222290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.4203, kappa: 0.2835, kb_relative_information_score: 4476.2222, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.3543, predictive_accuracy: 0.542, prior_entropy: 2.6539, recall: 0.542, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2655, root_relative_squared_error: 1.0959, scimark_benchmark: 1466.6185, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.2328, kb_relative_information_score: 5.8886, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.1634, predictive_accuracy: 0.4043, prior_entropy: 2.6539, recall: 0.4043, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.2422, root_relative_squared_error: 1, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7478, kappa: 0.6729, kb_relative_information_score: 9734.0939, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7473, predictive_accuracy: 0.7531, prior_entropy: 2.6539, recall: 0.7531, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.7574, scimark_benchmark: 1353.5686, usercpu_time_millis: 47620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 47600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 965.3638, build_memory: 65138398.484, f_measure: 0.7758, kappa: 0.7135, kb_relative_information_score: 10456.5694, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7823, predictive_accuracy: 0.7855, prior_entropy: 2.6539, recall: 0.7855, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6408, scimark_benchmark: 941.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 919.2927, build_memory: 1819276534.6723, f_measure: 0.7758, kappa: 0.7135, kb_relative_information_score: 10456.5694, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1176, number_of_instances: 15040, precision: 0.7823, predictive_accuracy: 0.7855, prior_entropy: 2.6539, recall: 0.7855, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.2422, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6408, scimark_benchmark: 909.6771,

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