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Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8536, kappa: 0.67, kb_relative_information_score: 579.6003, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8533, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6777, scimark_benchmark: 1279.1213, usercpu_time_millis: 4.677, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8058, kappa: 0.5621, kb_relative_information_score: 484.1919, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8049, predictive_accuracy: 0.8076, prior_entropy: 0.9226, recall: 0.8076, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7477, scimark_benchmark: 1291.33, usercpu_time_millis: 4.984, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 0.9124, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.998, scimark_benchmark: 1302.1898, usercpu_time_millis: 7.903, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 7.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.613, kappa: 0.1449, kb_relative_information_score: 102.8374, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7341, predictive_accuracy: 0.6967, prior_entropy: 0.9226, recall: 0.6967, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9524, scimark_benchmark: 1304.8356, usercpu_time_millis: 9.959, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 9.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.5337, kappa: 0.0073, kb_relative_information_score: 5.6051, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6423, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9962, scimark_benchmark: 1309.8481, usercpu_time_millis: 8.292, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 8.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5501, kappa: 0.0348, kb_relative_information_score: 22.0704, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7081, predictive_accuracy: 0.6701, prior_entropy: 0.9226, recall: 0.6701, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9886, scimark_benchmark: 1282.4552, usercpu_time_millis: 8.776, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 8.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.6088, kappa: 0.1361, kb_relative_information_score: 82.4643, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7258, predictive_accuracy: 0.6938, prior_entropy: 0.9226, recall: 0.6938, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9572, scimark_benchmark: 1305.2866, usercpu_time_millis: 5.336, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8766, kappa: 0.7218, kb_relative_information_score: 596.331, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6594, scimark_benchmark: 1305.3122, usercpu_time_millis: 3.369, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7243, kappa: 0.367, kb_relative_information_score: 272.9829, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7542, predictive_accuracy: 0.7517, prior_entropy: 0.9226, recall: 0.7517, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8519, scimark_benchmark: 1274.7727, usercpu_time_millis: 5.231, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8613, kappa: 0.6861, kb_relative_information_score: 593.761, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6762, scimark_benchmark: 1305.2822, usercpu_time_millis: 7.12, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.5986, kappa: 0.1151, kb_relative_information_score: 120.5505, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7062, predictive_accuracy: 0.6872, prior_entropy: 0.9226, recall: 0.6872, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9315, scimark_benchmark: 1281.2391, usercpu_time_millis: 4.655, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7681, kappa: 0.4672, kb_relative_information_score: 325.9222, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7824, predictive_accuracy: 0.7829, prior_entropy: 0.9226, recall: 0.7829, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8312, scimark_benchmark: 1276.3437, usercpu_time_millis: 5.642, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 5.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8783, kappa: 0.7253, kb_relative_information_score: 650.0478, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8784, predictive_accuracy: 0.8796, prior_entropy: 0.9226, recall: 0.8796, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6325, scimark_benchmark: 1281.7272, usercpu_time_millis: 4.786, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5894, kappa: 0.1022, kb_relative_information_score: 56.3516, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7281, predictive_accuracy: 0.6863, prior_entropy: 0.9226, recall: 0.6863, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9721, scimark_benchmark: 1270.6356, usercpu_time_millis: 5.494, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 5.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8613, kappa: 0.6872, kb_relative_information_score: 590.6478, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6675, scimark_benchmark: 1296.7254, usercpu_time_millis: 3.754, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.6857, kappa: 0.2853, kb_relative_information_score: 196.9203, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.748, predictive_accuracy: 0.7318, prior_entropy: 0.9226, recall: 0.7318, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8937, scimark_benchmark: 1265.4184, usercpu_time_millis: 5.529, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8306, kappa: 0.6195, kb_relative_information_score: 515.3315, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8301, predictive_accuracy: 0.8313, prior_entropy: 0.9226, recall: 0.8313, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7414, scimark_benchmark: 1298.3719, usercpu_time_millis: 6.512, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 6.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8105, kappa: 0.5743, kb_relative_information_score: 490.1431, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8099, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7472, scimark_benchmark: 1294.5036, usercpu_time_millis: 7.441, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 7.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.5762, kappa: 0.0753, kb_relative_information_score: 110.0726, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6917, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9356, scimark_benchmark: 1300.9327, usercpu_time_millis: 5.731, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5624, kappa: 0.0566, kb_relative_information_score: 31.0535, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7324, predictive_accuracy: 0.6758, prior_entropy: 0.9226, recall: 0.6758, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9842, scimark_benchmark: 1269.5888, usercpu_time_millis: 9.841, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 9.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8699, kappa: 0.7069, kb_relative_information_score: 566.7005, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6715, scimark_benchmark: 1274.5961, usercpu_time_millis: 224.316, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 224.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8702, kappa: 0.7081, kb_relative_information_score: 567.788, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6705, scimark_benchmark: 1267.9903, usercpu_time_millis: 483.976, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 483.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7776, kappa: 0.4889, kb_relative_information_score: 372.6411, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7948, predictive_accuracy: 0.7924, prior_entropy: 0.9226, recall: 0.7924, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7984, scimark_benchmark: 1308.5363, usercpu_time_millis: 4.549, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6064, kappa: 0.1307, kb_relative_information_score: 146.4229, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.719, predictive_accuracy: 0.6919, prior_entropy: 0.9226, recall: 0.6919, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9193, scimark_benchmark: 1308.1151, usercpu_time_millis: 5.235, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8018, kappa: 0.5452, kb_relative_information_score: 438.9871, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8139, predictive_accuracy: 0.8123, prior_entropy: 0.9226, recall: 0.8123, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7807, scimark_benchmark: 1311.164, usercpu_time_millis: 9.118, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 8.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7228, kappa: 0.364, kb_relative_information_score: 263.3662, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7562, predictive_accuracy: 0.7517, prior_entropy: 0.9226, recall: 0.7517, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8565, scimark_benchmark: 1292.9923, usercpu_time_millis: 5.28, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 5.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8739, kappa: 0.7159, kb_relative_information_score: 622.1207, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8737, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6464, scimark_benchmark: 1310.9417, usercpu_time_millis: 4.291, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6301, kappa: 0.1763, kb_relative_information_score: 121.1907, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7362, predictive_accuracy: 0.7043, prior_entropy: 0.9226, recall: 0.7043, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9423, scimark_benchmark: 1278.76, usercpu_time_millis: 9.87, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 9.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 0.7817, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.998, scimark_benchmark: 1281.2507, usercpu_time_millis: 8.3, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 8.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8681, kappa: 0.703, kb_relative_information_score: 567.4491, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8679, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6737, scimark_benchmark: 1306.1631, usercpu_time_millis: 505.283, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 505.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 572.4921, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6695, scimark_benchmark: 1300.0762, usercpu_time_millis: 17.545, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 17.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7569, kappa: 0.4414, kb_relative_information_score: 311.336, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.772, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8374, scimark_benchmark: 1274.6113, usercpu_time_millis: 5.299, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 5.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 573.2878, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1308.7112, usercpu_time_millis: 93.116, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 93.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 608.789, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.656, scimark_benchmark: 1310.1974, usercpu_time_millis: 4.156, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6361, kappa: 0.1877, kb_relative_information_score: 133.6351, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7376, predictive_accuracy: 0.7071, prior_entropy: 0.9226, recall: 0.7071, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9382, scimark_benchmark: 1278.3745, usercpu_time_millis: 10.114, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 9.956,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 579.3256, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6683, scimark_benchmark: 1272.4661, usercpu_time_millis: 10.403, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 10.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.802, kappa: 0.5467, kb_relative_information_score: 421.0772, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8089, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.776, scimark_benchmark: 1307.534, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 5.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8652, kappa: 0.6963, kb_relative_information_score: 595.4255, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.865, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.663, scimark_benchmark: 1304.1172, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6205, kappa: 0.158, kb_relative_information_score: 111.1163, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.732, predictive_accuracy: 0.6995, prior_entropy: 0.9226, recall: 0.6995, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9464, scimark_benchmark: 1264.6866, usercpu_time_millis: 9.324, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 9.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8547, kappa: 0.6728, kb_relative_information_score: 587.2117, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8544, predictive_accuracy: 0.8559, prior_entropy: 0.9226, recall: 0.8559, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6717, scimark_benchmark: 1265.1033, usercpu_time_millis: 5.023, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 4.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8748, kappa: 0.7178, kb_relative_information_score: 592.7538, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6617, scimark_benchmark: 1270.2355, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 3.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7006, kappa: 0.3151, kb_relative_information_score: 235.6801, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7438, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8708, scimark_benchmark: 1305.8065, usercpu_time_millis: 6.371, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 6.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8146, kappa: 0.5889, kb_relative_information_score: 489.6872, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8168, predictive_accuracy: 0.8133, prior_entropy: 0.9226, recall: 0.8133, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7606, scimark_benchmark: 1297.9196, usercpu_time_millis: 5.957, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 1.5592, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9977, scimark_benchmark: 1304.5772, usercpu_time_millis: 8.128, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7915, kappa: 0.5213, kb_relative_information_score: 413.2704, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8057, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7937, scimark_benchmark: 1296.0195, usercpu_time_millis: 10.373, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 10.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8719, kappa: 0.7116, kb_relative_information_score: 574.8187, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6685, scimark_benchmark: 1302.8823, usercpu_time_millis: 10.813, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 10.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.6083, kappa: 0.1365, kb_relative_information_score: 80.5473, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7348, predictive_accuracy: 0.6948, prior_entropy: 0.9226, recall: 0.6948, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.453, root_relative_squared_error: 0.958, scimark_benchmark: 1301.7062, usercpu_time_millis: 5.487, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.7532, kappa: 0.4328, kb_relative_information_score: 326.2207, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7767, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8227, scimark_benchmark: 1287.209, usercpu_time_millis: 4.807, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.2856, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1287.6362, usercpu_time_millis: 141.528, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 141.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7569, kappa: 0.4414, kb_relative_information_score: 311.2486, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.772, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8374, scimark_benchmark: 1254.7322, usercpu_time_millis: 6.282, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 6.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 569.0497, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6712, scimark_benchmark: 1268.6334, usercpu_time_millis: 145.877, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 145.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.6041, kappa: 0.1277, kb_relative_information_score: 83.8876, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.726, predictive_accuracy: 0.6919, prior_entropy: 0.9226, recall: 0.6919, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9575, scimark_benchmark: 1277.9344, usercpu_time_millis: 5.577, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 5.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8748, kappa: 0.7178, kb_relative_information_score: 592.3016, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.658, scimark_benchmark: 1302.8673, usercpu_time_millis: 4.105, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 572.9079, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1297.2532, usercpu_time_millis: 204.18, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 204.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8623, kappa: 0.6896, kb_relative_information_score: 590.4762, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6677, scimark_benchmark: 1303.9187, usercpu_time_millis: 3.634, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8718, kappa: 0.7112, kb_relative_information_score: 601.4977, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6547, scimark_benchmark: 1256.3301, usercpu_time_millis: 4.051, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8768, kappa: 0.7225, kb_relative_information_score: 631.0517, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6404, scimark_benchmark: 1275.2165, usercpu_time_millis: 4.192, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7205, kappa: 0.3615, kb_relative_information_score: 272.0591, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7774, predictive_accuracy: 0.7564, prior_entropy: 0.9226, recall: 0.7564, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8493, scimark_benchmark: 1302.5245, usercpu_time_millis: 4.732, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8758, kappa: 0.7202, kb_relative_information_score: 591.981, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8756, predictive_accuracy: 0.8768, prior_entropy: 0.9226, recall: 0.8768, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6577, scimark_benchmark: 1298.8302, usercpu_time_millis: 4.427, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8604, kappa: 0.6853, kb_relative_information_score: 586.8647, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8601, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6707, scimark_benchmark: 1269.7362, usercpu_time_millis: 3.59, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8539, kappa: 0.6682, kb_relative_information_score: 616.1437, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8555, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6627, scimark_benchmark: 1304.2124, usercpu_time_millis: 6.368, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 6.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8504, kappa: 0.6623, kb_relative_information_score: 581.3841, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8503, predictive_accuracy: 0.8521, prior_entropy: 0.9226, recall: 0.8521, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6844, scimark_benchmark: 1287.8594, usercpu_time_millis: 4.983, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8707, kappa: 0.7071, kb_relative_information_score: 643.2934, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.872, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.642, scimark_benchmark: 1301.844, usercpu_time_millis: 5.935, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7124, kappa: 0.3427, kb_relative_information_score: 229.5771, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7639, predictive_accuracy: 0.7488, prior_entropy: 0.9226, recall: 0.7488, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8746, scimark_benchmark: 1301.9253, usercpu_time_millis: 5.949, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 5.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.874, kappa: 0.7163, kb_relative_information_score: 591.04, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8737, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6623, scimark_benchmark: 1276.3531, usercpu_time_millis: 4.208, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.6799, kappa: 0.2758, kb_relative_information_score: 172.7464, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7605, predictive_accuracy: 0.7318, prior_entropy: 0.9226, recall: 0.7318, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9057, scimark_benchmark: 1268.301, usercpu_time_millis: 5.154, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.868, kappa: 0.7025, kb_relative_information_score: 563.3323, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6753, scimark_benchmark: 1307.888, usercpu_time_millis: 524.36, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 524.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8748, kappa: 0.7178, kb_relative_information_score: 590.2532, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.662, scimark_benchmark: 1303.2429, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8068, kappa: 0.5646, kb_relative_information_score: 485.2356, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.806, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7475, scimark_benchmark: 1299.7333, usercpu_time_millis: 5.321, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.217,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs