OpenML
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: 0.8449, 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: 931.4089,
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: 0.9535, 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: 0.9729, 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: 0.9523, 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: 0.9409, 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: 0.8449, 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: 0.8965, 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: 0.9621, 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: 0.4972, f_measure: 0.0784, kb_relative_information_score: 149.8978, mean_absolute_error: 0.09, 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: 1.0013, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.212, root_relative_squared_error: 1.0003, scimark_benchmark: 926.5859, usercpu_time_millis: 70000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 69960,
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: 926.5859, usercpu_time_millis: 7980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7970,
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: 936.1714, usercpu_time_millis: 7910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7900,
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: 941.9549, usercpu_time_millis: 8140, usercpu_time_millis_training: 8140,
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: 929.0296, usercpu_time_millis: 7660, usercpu_time_millis_training: 7660,
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: 929.0296, usercpu_time_millis: 7720, usercpu_time_millis_training: 7720,
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,
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: 0.8449, 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: 0.9709, 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: 0.8965, 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: 0.8449, 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: 0.8239, 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: 0.8965, 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: 1317.071, usercpu_time_millis: 614880, usercpu_time_millis_training: 614880,
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: 1316.5668, usercpu_time_millis: 45620, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 44830,
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: 0.8449, 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: 0.6409, 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: 0.9759, 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: 0.9788, 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: 0.9788, 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: 0.9788, 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: 0.9585, 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: 1319.3046, usercpu_time_millis: 6516610, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 6516280,
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: 1352.6859, usercpu_time_millis: 6973970, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 6973620,
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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: 1314.7093, usercpu_time_millis: 3945690, usercpu_time_millis_training: 3945690,
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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,
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: 1324.9597, usercpu_time_millis: 48250, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 47330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7152, kappa: 0.6875, kb_relative_information_score: 10452.0266, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7393, predictive_accuracy: 0.7181, prior_entropy: 3.7381, recall: 0.7181, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.7909, scimark_benchmark: 1330.7934, usercpu_time_millis: 128930, usercpu_time_millis_testing: 116830, usercpu_time_millis_training: 12100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7251, kappa: 0.6983, kb_relative_information_score: 10622.3336, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7461, predictive_accuracy: 0.7281, prior_entropy: 3.7381, recall: 0.7281, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.7761, scimark_benchmark: 1340.1351, usercpu_time_millis: 115010, usercpu_time_millis_testing: 108740, usercpu_time_millis_training: 6270,
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: 1368.9272, usercpu_time_millis: 537930, usercpu_time_millis_training: 537930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.6966, kappa: 0.694, kb_relative_information_score: 9997.3529, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7162, predictive_accuracy: 0.7286, prior_entropy: 3.7381, recall: 0.7286, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6541, scimark_benchmark: 1287.514, usercpu_time_millis: 1652530, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1652460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8326, kappa: 0.8171, kb_relative_information_score: 12626.1815, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8354, predictive_accuracy: 0.8363, prior_entropy: 3.7381, recall: 0.8363, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5494, scimark_benchmark: 923.988, usercpu_time_millis: 3806700, usercpu_time_millis_testing: 14540, usercpu_time_millis_training: 3792160,
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: 1321.6263, usercpu_time_millis: 3080, usercpu_time_millis_testing: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.6474, kappa: 0.6293, kb_relative_information_score: 674.1196, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7368, predictive_accuracy: 0.6716, prior_entropy: 3.7381, recall: 0.6716, relative_absolute_error: 1.0562, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0279, scimark_benchmark: 916.6405, usercpu_time_millis: 16450, usercpu_time_millis_testing: 15650, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6656, kappa: 0.6347, kb_relative_information_score: 9720.3111, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6609, predictive_accuracy: 0.6731, prior_entropy: 3.7381, recall: 0.6731, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.7761, scimark_benchmark: 1330.0694, usercpu_time_millis: 543240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 543210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.6861, kappa: 0.6795, kb_relative_information_score: 9836.6933, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6941, predictive_accuracy: 0.7156, prior_entropy: 3.7381, recall: 0.7156, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6701, scimark_benchmark: 938.343, usercpu_time_millis: 470590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470560,
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: 0.6309, 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: 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: 1318.1432, usercpu_time_millis: 6820, usercpu_time_millis_training: 6820,
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: 1321.9426, usercpu_time_millis: 6870, usercpu_time_millis_training: 6870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.2566, kappa: 0.223, kb_relative_information_score: 4551.3001, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6682, predictive_accuracy: 0.3037, prior_entropy: 3.7381, recall: 0.3037, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.212, root_relative_squared_error: 1, scimark_benchmark: 1363.454, usercpu_time_millis: 16010, usercpu_time_millis_testing: 16000, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.4029, kappa: 0.328, kb_relative_information_score: 5044.7842, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6435, predictive_accuracy: 0.3947, prior_entropy: 3.7381, recall: 0.3947, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2128, root_relative_squared_error: 1.0041, scimark_benchmark: 940.3347, usercpu_time_millis: 18120, usercpu_time_millis_testing: 18120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.5566, kappa: 0.5287, kb_relative_information_score: 1729.7853, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6791, predictive_accuracy: 0.5846, prior_entropy: 3.7381, recall: 0.5846, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.9948, scimark_benchmark: 869.6028, usercpu_time_millis: 106080, usercpu_time_millis_testing: 96890, usercpu_time_millis_training: 9190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8136, kappa: 0.7996, kb_relative_information_score: 2356.8802, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.8336, predictive_accuracy: 0.8215, prior_entropy: 3.7381, recall: 0.8215, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.9874, scimark_benchmark: 1287.514, usercpu_time_millis: 13920, usercpu_time_millis_testing: 6190, usercpu_time_millis_training: 7730,
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: 0.8087, f_measure: 0.6452, kappa: 0.6042, kb_relative_information_score: 9126.9094, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.7506, predictive_accuracy: 0.6433, prior_entropy: 3.7381, recall: 0.6433, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.891, scimark_benchmark: 1292.2426, usercpu_time_millis: 1030830, usercpu_time_millis_testing: 594050, usercpu_time_millis_training: 436780,
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: 0.8703, f_measure: 0.6144, kappa: 0.593, kb_relative_information_score: 8740.1627, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0899, number_of_instances: 15600, precision: 0.6035, predictive_accuracy: 0.6381, prior_entropy: 3.7381, recall: 0.6381, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.162, root_relative_squared_error: 0.7645, scimark_benchmark: 1066.7184, usercpu_time_millis: 49480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 49470,
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: 0.8193, 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: 0.8394, 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: 0.4883, 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,

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