Task
Supervised Classification on wap.wc

Supervised Classification on wap.wc

Task 4238 Supervised Classification wap.wc 99 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.6998, kappa: 0.6999, kb_relative_information_score: 9394.435, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7252, predictive_accuracy: 0.7344, prior_entropy: 3.7381, recall: 0.7344, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.143, root_relative_squared_error: 0.6745, scimark_benchmark: 1368.9272, usercpu_time_millis: 160670, usercpu_time_millis_testing: 5810, usercpu_time_millis_training: 154860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.5318, kappa: 0.4937, kb_relative_information_score: 4746.2517, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.557, predictive_accuracy: 0.5573, prior_entropy: 3.7381, recall: 0.5573, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.8767, scimark_benchmark: 1332.576, usercpu_time_millis: 2228500, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 2227690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.6668, kappa: 0.6361, kb_relative_information_score: 9594.4914, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6833, predictive_accuracy: 0.6772, prior_entropy: 3.7381, recall: 0.6772, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.8118, scimark_benchmark: 1322.4968, usercpu_time_millis: 429690, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 429430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.6998, kappa: 0.6999, kb_relative_information_score: 9394.435, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7252, predictive_accuracy: 0.7344, prior_entropy: 3.7381, recall: 0.7344, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.143, root_relative_squared_error: 0.6745, scimark_benchmark: 1350.4702, usercpu_time_millis: 216380, usercpu_time_millis_testing: 4040, usercpu_time_millis_training: 212340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7012, kappa: 0.6986, kb_relative_information_score: 10012.6724, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7174, predictive_accuracy: 0.7326, prior_entropy: 3.7381, recall: 0.7326, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6521, scimark_benchmark: 1313.5052, usercpu_time_millis: 3076420, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3076280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.6521, kappa: 0.6288, kb_relative_information_score: 9310.6477, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.654, predictive_accuracy: 0.6698, prior_entropy: 3.7381, recall: 0.6698, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.159, root_relative_squared_error: 0.7499, scimark_benchmark: 1335.5424, usercpu_time_millis: 414550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 414540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7604, kappa: 0.7473, kb_relative_information_score: 11686.1605, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7636, predictive_accuracy: 0.7753, prior_entropy: 3.7381, recall: 0.7753, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6283, scimark_benchmark: 1292.1375, usercpu_time_millis: 3447770, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3447670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.7215, kappa: 0.7271, kb_relative_information_score: 9543.5707, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7418, predictive_accuracy: 0.7583, prior_entropy: 3.7381, recall: 0.7583, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6634, scimark_benchmark: 1352.2274, usercpu_time_millis: 848320, usercpu_time_millis_testing: 17220, usercpu_time_millis_training: 831100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7012, kappa: 0.6995, kb_relative_information_score: 10015.8558, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7095, predictive_accuracy: 0.7335, prior_entropy: 3.7381, recall: 0.7335, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6511, scimark_benchmark: 1308.0332, usercpu_time_millis: 6877140, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 6876810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.7143, kappa: 0.7174, kb_relative_information_score: 9492.631, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7381, predictive_accuracy: 0.7498, prior_entropy: 3.7381, recall: 0.7498, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.667, scimark_benchmark: 1319.3406, usercpu_time_millis: 441510, usercpu_time_millis_testing: 8730, usercpu_time_millis_training: 432780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7604, kappa: 0.7473, kb_relative_information_score: 11686.1605, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7636, predictive_accuracy: 0.7753, prior_entropy: 3.7381, recall: 0.7753, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6283, scimark_benchmark: 1347.388, usercpu_time_millis: 3447820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3447720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8318, kappa: 0.8184, kb_relative_information_score: 12675.7581, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8366, predictive_accuracy: 0.8376, prior_entropy: 3.7381, recall: 0.8376, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5258, scimark_benchmark: 758.4518, usercpu_time_millis: 7683440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7683430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7604, kappa: 0.7473, kb_relative_information_score: 11686.1605, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7636, predictive_accuracy: 0.7753, prior_entropy: 3.7381, recall: 0.7753, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6283, scimark_benchmark: 1337.5749, usercpu_time_millis: 3455070, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3454970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8318, kappa: 0.8184, kb_relative_information_score: 12675.7581, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8366, predictive_accuracy: 0.8376, prior_entropy: 3.7381, recall: 0.8376, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5258, scimark_benchmark: 1316.8194, usercpu_time_millis: 6426460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6426450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.4295, kappa: 0.3031, kb_relative_information_score: 5007.8114, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6828, predictive_accuracy: 0.3449, prior_entropy: 3.7381, recall: 0.3449, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2311, root_relative_squared_error: 1.09, scimark_benchmark: 894.7222, usercpu_time_millis: 8083890, usercpu_time_millis_testing: 8083880, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7604, kappa: 0.7473, kb_relative_information_score: 11686.1605, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7636, predictive_accuracy: 0.7753, prior_entropy: 3.7381, recall: 0.7753, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6283, scimark_benchmark: 1317.1597, usercpu_time_millis: 3507020, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3506930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8391, kappa: 0.8263, kb_relative_information_score: 12785.1497, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8435, predictive_accuracy: 0.8445, prior_entropy: 3.7381, recall: 0.8445, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.531, scimark_benchmark: 1344.4042, usercpu_time_millis: 17219480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17219470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.6694, kappa: 0.6585, kb_relative_information_score: 7943.2634, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.758, predictive_accuracy: 0.7007, prior_entropy: 3.7381, recall: 0.7007, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.7445, scimark_benchmark: 1313.5726, usercpu_time_millis: 34350, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 33460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.0784, kb_relative_information_score: 10.9385, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.0478, predictive_accuracy: 0.2186, prior_entropy: 3.7381, recall: 0.2186, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.212, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.6565, kappa: 0.6203, kb_relative_information_score: 9527.9318, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6618, predictive_accuracy: 0.661, prior_entropy: 3.7381, recall: 0.661, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.8093, scimark_benchmark: 1465.2979, usercpu_time_millis: 375970, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 375850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.2024, kappa: 0.1674, kb_relative_information_score: 2097.627, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.1904, predictive_accuracy: 0.2885, prior_entropy: 3.7381, recall: 0.2885, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.9409, scimark_benchmark: 882.7843, usercpu_time_millis: 7610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.2024, kappa: 0.1674, kb_relative_information_score: 2097.627, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.1904, predictive_accuracy: 0.2885, prior_entropy: 3.7381, recall: 0.2885, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.9409, scimark_benchmark: 939.5088, usercpu_time_millis: 7530, usercpu_time_millis_training: 7530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.2024, kappa: 0.1674, kb_relative_information_score: 2097.627, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.1904, predictive_accuracy: 0.2885, prior_entropy: 3.7381, recall: 0.2885, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.9409, scimark_benchmark: 882.7843, usercpu_time_millis: 7510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.6464, kappa: 0.6087, kb_relative_information_score: 9434.6795, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6488, predictive_accuracy: 0.6497, prior_entropy: 3.7381, recall: 0.6497, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.8425, scimark_benchmark: 1339.4189, usercpu_time_millis: 1476570, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1476500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.1871, kappa: 0.1882, kb_relative_information_score: 3248.9862, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.158, predictive_accuracy: 0.3283, prior_entropy: 3.7381, recall: 0.3283, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2592, root_relative_squared_error: 1.2227, scimark_benchmark: 1466.6185, usercpu_time_millis: 3300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.832, kappa: 0.8185, kb_relative_information_score: 12677.2145, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8367, predictive_accuracy: 0.8377, prior_entropy: 3.7381, recall: 0.8377, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.5257, scimark_benchmark: 932.5646, usercpu_time_millis: 10105490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10105480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8483, kappa: 0.8339, kb_relative_information_score: 12710.0529, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8515, predictive_accuracy: 0.8513, prior_entropy: 3.7381, recall: 0.8513, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5753, scimark_benchmark: 938.343, usercpu_time_millis: 940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.4307, kappa: 0.369, kb_relative_information_score: 5595.1518, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.4315, predictive_accuracy: 0.4352, prior_entropy: 3.7381, recall: 0.4352, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1212, scimark_benchmark: 1306.6379, usercpu_time_millis: 550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.6963, kappa: 0.6706, kb_relative_information_score: 9927.3678, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6982, predictive_accuracy: 0.7082, prior_entropy: 3.7381, recall: 0.7082, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.7421, scimark_benchmark: 1168.3268, usercpu_time_millis: 1048700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1048690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7443, kappa: 0.7181, kb_relative_information_score: 10758.5841, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7537, predictive_accuracy: 0.7486, prior_entropy: 3.7381, recall: 0.7486, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.748, scimark_benchmark: 1331.2332, usercpu_time_millis: 253370, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 252280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.4261, kappa: 0.3392, kb_relative_information_score: 5513.2229, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6343, predictive_accuracy: 0.3982, prior_entropy: 3.7381, recall: 0.3982, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2453, root_relative_squared_error: 1.1573, scimark_benchmark: 1348.8637, usercpu_time_millis: 2343060, usercpu_time_millis_testing: 2342170, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.6939, kappa: 0.6894, kb_relative_information_score: 9932.2405, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7089, predictive_accuracy: 0.7244, prior_entropy: 3.7381, recall: 0.7244, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6604, scimark_benchmark: 1319.4881, usercpu_time_millis: 691910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 691870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.4261, kappa: 0.3392, kb_relative_information_score: 5483.5622, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6343, predictive_accuracy: 0.3982, prior_entropy: 3.7381, recall: 0.3982, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2436, root_relative_squared_error: 1.1493, scimark_benchmark: 1331.5882, usercpu_time_millis: 8030, usercpu_time_millis_testing: 8030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.6497, kappa: 0.605, kb_relative_information_score: 4498.5156, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6737, predictive_accuracy: 0.6417, prior_entropy: 3.7381, recall: 0.6417, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.9372, scimark_benchmark: 765.566, usercpu_time_millis: 22820, usercpu_time_millis_testing: 17500, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.1882, kappa: 0.1706, kb_relative_information_score: 2238.5904, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.1549, predictive_accuracy: 0.2971, prior_entropy: 3.7381, recall: 0.2971, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.9473, scimark_benchmark: 1270.2428, usercpu_time_millis: 78190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 78180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4198, kappa: 0.3708, kb_relative_information_score: 5385.9544, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6494, predictive_accuracy: 0.4591, prior_entropy: 3.7381, recall: 0.4591, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0972, scimark_benchmark: 1318.8785, usercpu_time_millis: 35620, usercpu_time_millis_testing: 16170, usercpu_time_millis_training: 19450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7794, kappa: 0.768, kb_relative_information_score: 10919.749, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7845, predictive_accuracy: 0.7933, prior_entropy: 3.7381, recall: 0.7933, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5995, scimark_benchmark: 930.0565, usercpu_time_millis: 2957140, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 2956010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8112, kappa: 0.7948, kb_relative_information_score: 12292.8721, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8154, predictive_accuracy: 0.8164, prior_entropy: 3.7381, recall: 0.8164, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5475, scimark_benchmark: 1347.993, usercpu_time_millis: 3064350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3064340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7275, kappa: 0.7339, kb_relative_information_score: 9581.252, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7465, predictive_accuracy: 0.7644, prior_entropy: 3.7381, recall: 0.7644, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.661, scimark_benchmark: 1351.6526, usercpu_time_millis: 3348470, usercpu_time_millis_testing: 69460, usercpu_time_millis_training: 3279010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8482, kappa: 0.8339, kb_relative_information_score: 12710.1096, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8516, predictive_accuracy: 0.8513, prior_entropy: 3.7381, recall: 0.8513, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.122, root_relative_squared_error: 0.5753, scimark_benchmark: 1327.035, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.7257, kappa: 0.7314, kb_relative_information_score: 9573.109, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7495, predictive_accuracy: 0.7621, prior_entropy: 3.7381, recall: 0.7621, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6617, scimark_benchmark: 1320.9026, usercpu_time_millis: 1796860, usercpu_time_millis_testing: 40670, usercpu_time_millis_training: 1756190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.789, kappa: 0.7708, kb_relative_information_score: 11821.0093, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7907, predictive_accuracy: 0.795, prior_entropy: 3.7381, recall: 0.795, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5719, scimark_benchmark: 1347.388, usercpu_time_millis: 1954780, usercpu_time_millis_training: 1954780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7891, kappa: 0.771, kb_relative_information_score: 11822.4657, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7908, predictive_accuracy: 0.7951, prior_entropy: 3.7381, recall: 0.7951, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5718, scimark_benchmark: 932.5646, usercpu_time_millis: 2391610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2391600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8318, kappa: 0.8184, kb_relative_information_score: 12675.7581, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8366, predictive_accuracy: 0.8376, prior_entropy: 3.7381, recall: 0.8376, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5258, scimark_benchmark: 1059.8591, usercpu_time_millis: 7672010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7672000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8318, kappa: 0.8184, kb_relative_information_score: 12675.7581, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8366, predictive_accuracy: 0.8376, prior_entropy: 3.7381, recall: 0.8376, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5258, scimark_benchmark: 1371.9645, usercpu_time_millis: 9262340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9262330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6754, kappa: 0.6435, kb_relative_information_score: 9812.1016, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6734, predictive_accuracy: 0.6804, prior_entropy: 3.7381, recall: 0.6804, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7742, scimark_benchmark: 922.5036, usercpu_time_millis: 58160, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 57220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6754, kappa: 0.6435, kb_relative_information_score: 9812.1016, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6734, predictive_accuracy: 0.6804, prior_entropy: 3.7381, recall: 0.6804, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7742, scimark_benchmark: 926.4745, usercpu_time_millis: 58890, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 57830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.5229, kappa: 0.5059, kb_relative_information_score: 7589.417, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.5036, predictive_accuracy: 0.5638, prior_entropy: 3.7381, recall: 0.5638, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7858, scimark_benchmark: 931.7994, usercpu_time_millis: 854420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 854400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8162, kappa: 0.7996, kb_relative_information_score: 12351.8009, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8189, predictive_accuracy: 0.8207, prior_entropy: 3.7381, recall: 0.8207, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.556, scimark_benchmark: 907.1091, usercpu_time_millis: 6578690, usercpu_time_millis_testing: 390130, usercpu_time_millis_training: 6188560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.3173, kappa: 0.2706, kb_relative_information_score: 4825.6644, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7973, predictive_accuracy: 0.2928, prior_entropy: 3.7381, recall: 0.2928, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2659, root_relative_squared_error: 1.2545, scimark_benchmark: 1353.5464, usercpu_time_millis: 246130, usercpu_time_millis_testing: 112640, usercpu_time_millis_training: 133490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.5229, kappa: 0.5059, kb_relative_information_score: 7589.417, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.5036, predictive_accuracy: 0.5638, prior_entropy: 3.7381, recall: 0.5638, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7858, scimark_benchmark: 906.5979, usercpu_time_millis: 834820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 834810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6754, kappa: 0.6435, kb_relative_information_score: 9812.1016, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6734, predictive_accuracy: 0.6804, prior_entropy: 3.7381, recall: 0.6804, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7742, scimark_benchmark: 942.2392, usercpu_time_millis: 70980, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 69900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.7222, kappa: 0.6999, kb_relative_information_score: 10641.4551, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7286, predictive_accuracy: 0.7327, prior_entropy: 3.7381, recall: 0.7327, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.6424, scimark_benchmark: 912.6307, usercpu_time_millis: 4128810, usercpu_time_millis_testing: 1307410, usercpu_time_millis_training: 2821400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.7336, kappa: 0.7131, kb_relative_information_score: 10733.3492, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7422, predictive_accuracy: 0.7445, prior_entropy: 3.7381, recall: 0.7445, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.6307, scimark_benchmark: 974.2014, usercpu_time_millis: 6576000, usercpu_time_millis_testing: 2124170, usercpu_time_millis_training: 4451830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7902, kappa: 0.7727, kb_relative_information_score: 11987.5238, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7947, predictive_accuracy: 0.7963, prior_entropy: 3.7381, recall: 0.7963, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.6279, scimark_benchmark: 863.8193, usercpu_time_millis: 37214800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 37214790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.5229, kappa: 0.5059, kb_relative_information_score: 7589.417, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.5036, predictive_accuracy: 0.5638, prior_entropy: 3.7381, recall: 0.5638, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7858, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6754, kappa: 0.6435, kb_relative_information_score: 9812.1016, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6734, predictive_accuracy: 0.6804, prior_entropy: 3.7381, recall: 0.6804, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7742, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.5229, kappa: 0.5059, kb_relative_information_score: 7589.417, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.5036, predictive_accuracy: 0.5638, prior_entropy: 3.7381, recall: 0.5638, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7858, scimark_benchmark: 1316.6799, usercpu_time_millis: 558680, usercpu_time_millis_training: 558680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8326, kappa: 0.8172, kb_relative_information_score: 12627.2384, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8354, predictive_accuracy: 0.8364, prior_entropy: 3.7381, recall: 0.8364, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5496, scimark_benchmark: 737.6064, usercpu_time_millis: 28191660, usercpu_time_millis_testing: 24850, usercpu_time_millis_training: 28166810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.7474, kappa: 0.7281, kb_relative_information_score: 10900.5052, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7587, predictive_accuracy: 0.7583, prior_entropy: 3.7381, recall: 0.7583, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6232, scimark_benchmark: 944.1067, usercpu_time_millis: 10235130, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 10232990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.2098, kappa: 0.1694, kb_relative_information_score: 2257.8081, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.2095, predictive_accuracy: 0.2884, prior_entropy: 3.7381, recall: 0.2884, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.9367, scimark_benchmark: 1339.2472, usercpu_time_millis: 10410750, usercpu_time_millis_testing: 10410750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6754, kappa: 0.6435, kb_relative_information_score: 9812.1016, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6734, predictive_accuracy: 0.6804, prior_entropy: 3.7381, recall: 0.6804, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.7742, scimark_benchmark: 1310.6554, usercpu_time_millis: 49360, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 48580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.1668, kappa: 0.1718, kb_relative_information_score: 2173.3605, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.1763, predictive_accuracy: 0.3236, prior_entropy: 3.7381, recall: 0.3236, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.9413, scimark_benchmark: 931.7994, usercpu_time_millis: 6080, usercpu_time_millis_training: 6080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0784, kb_relative_information_score: 1677.1129, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.0478, predictive_accuracy: 0.2186, prior_entropy: 3.7381, recall: 0.2186, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2795, root_relative_squared_error: 1.3188, scimark_benchmark: 938.3115, usercpu_time_millis: 1290, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 440,

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