OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.9157, kappa: 0.618, kb_relative_information_score: 1283.1941, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9243, predictive_accuracy: 0.925, prior_entropy: 0.5848, recall: 0.925, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7322, scimark_benchmark: 1240.347, usercpu_time_millis: 1946.365, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 1945.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9691, kappa: 0.87, kb_relative_information_score: 2672.5855, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4499, scimark_benchmark: 1263.5523, usercpu_time_millis: 7545.766, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 7544.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9581, kappa: 0.8173, kb_relative_information_score: 2216.5435, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9607, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5212, scimark_benchmark: 1262.7459, usercpu_time_millis: 770.612, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 769.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7953, kb_relative_information_score: -169.628, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9894, scimark_benchmark: 1260.0609, usercpu_time_millis: 4777.623, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 4775.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9712, kappa: 0.8783, kb_relative_information_score: 2671.8493, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.436, scimark_benchmark: 1252.1424, usercpu_time_millis: 5164.095, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 5163.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 902.0451, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.82, scimark_benchmark: 1263.2937, usercpu_time_millis: 1314.356, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 1313.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9578, kappa: 0.8161, kb_relative_information_score: 1529.9642, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5685, scimark_benchmark: 1244.691, usercpu_time_millis: 153.938, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 153.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9076, kappa: 0.5752, kb_relative_information_score: 955.3824, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9224, predictive_accuracy: 0.9201, prior_entropy: 0.5848, recall: 0.9201, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.761, scimark_benchmark: 1271.6102, usercpu_time_millis: 130.304, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 129.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7953, kb_relative_information_score: -1761.0546, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.1474, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.9801, scimark_benchmark: 1265.167, usercpu_time_millis: 2854.444, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 2852.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9603, kappa: 0.8267, kb_relative_information_score: 1842.4537, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.537, scimark_benchmark: 1258.4671, usercpu_time_millis: 630.602, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 629.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8971, kappa: 0.5204, kb_relative_information_score: 721.4476, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9199, predictive_accuracy: 0.9137, prior_entropy: 0.5848, recall: 0.9137, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7437, scimark_benchmark: 1236.3099, usercpu_time_millis: 4203.121, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 4202.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9587, kappa: 0.8207, kb_relative_information_score: 2321.6134, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5182, scimark_benchmark: 1258.3801, usercpu_time_millis: 6476.942, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 6473.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.7953, kb_relative_information_score: -2302.6209, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.2032, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3536, root_relative_squared_error: 1.0192, scimark_benchmark: 1250.0199, usercpu_time_millis: 656.697, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 655.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9315, kappa: 0.6943, kb_relative_information_score: 1773.0938, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.5848, recall: 0.9375, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6367, scimark_benchmark: 1236.8561, usercpu_time_millis: 9887.576, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 9886.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9108, kappa: 0.5977, kb_relative_information_score: 1381.7534, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9168, predictive_accuracy: 0.9201, prior_entropy: 0.5848, recall: 0.9201, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7233, scimark_benchmark: 1221.5597, usercpu_time_millis: 7539.537, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 7538.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7934, kappa: -0.0057, kb_relative_information_score: -582.7144, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7509, predictive_accuracy: 0.8539, prior_entropy: 0.5848, recall: 0.8539, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9167, scimark_benchmark: 1232.4081, usercpu_time_millis: 5366.231, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 5365.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9391, kappa: 0.7294, kb_relative_information_score: 1851.6328, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.5848, recall: 0.9439, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.6247, scimark_benchmark: 1238.2144, usercpu_time_millis: 9171.667, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 9170.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1036.608, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.7942, scimark_benchmark: 1259.5248, usercpu_time_millis: 8702.976, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 8702.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9133, kappa: 0.6095, kb_relative_information_score: 1409.6596, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9188, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7205, scimark_benchmark: 1258.4591, usercpu_time_millis: 6976.559, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 6975.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.973, kappa: 0.8845, kb_relative_information_score: 2634.9694, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4236, scimark_benchmark: 1244.8864, usercpu_time_millis: 5107.504, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 5106.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.8996, kappa: 0.5475, kb_relative_information_score: 942.0415, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9029, predictive_accuracy: 0.9097, prior_entropy: 0.5848, recall: 0.9097, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.8091, scimark_benchmark: 1229.6807, usercpu_time_millis: 9842.376, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 9841.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8929, kappa: 0.4998, kb_relative_information_score: 1288.0771, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9162, predictive_accuracy: 0.9106, prior_entropy: 0.5848, recall: 0.9106, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7325, scimark_benchmark: 1257.101, usercpu_time_millis: 333.073, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 332.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9492, kappa: 0.7768, kb_relative_information_score: 2113.9285, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5579, scimark_benchmark: 1246.8446, usercpu_time_millis: 4124.377, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 4123.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 981.609, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.278, root_relative_squared_error: 0.8011, scimark_benchmark: 1266.6971, usercpu_time_millis: 5583.677, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 5582.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9673, kappa: 0.8591, kb_relative_information_score: 2511.5042, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4655, scimark_benchmark: 1228.7321, usercpu_time_millis: 1077.964, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 1076.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9488, kappa: 0.7751, kb_relative_information_score: 2129.3512, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 0.5848, recall: 0.9521, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5541, scimark_benchmark: 1272.6616, usercpu_time_millis: 4554.281, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 4553.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9384, kappa: 0.7259, kb_relative_information_score: 1728.4201, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9443, predictive_accuracy: 0.9436, prior_entropy: 0.5848, recall: 0.9436, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.638, scimark_benchmark: 1267.8992, usercpu_time_millis: 9093.56, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 9092.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9695, kappa: 0.8717, kb_relative_information_score: 2660.7169, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4555, scimark_benchmark: 1257.3336, usercpu_time_millis: 6627.429, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 6626.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9365, kappa: 0.7164, kb_relative_information_score: 1840.3269, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.943, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6058, scimark_benchmark: 1264.4259, usercpu_time_millis: 5875.389, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 5874.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9524, kappa: 0.7955, kb_relative_information_score: 892.121, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9529, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.6528, scimark_benchmark: 1264.3526, usercpu_time_millis: 9158.35, usercpu_time_millis_testing: 2.8, usercpu_time_millis_training: 9155.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7953, kb_relative_information_score: -3353.4756, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.3261, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3631, root_relative_squared_error: 1.0464, scimark_benchmark: 1256.2736, usercpu_time_millis: 3425.738, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 3423.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8606, kappa: 0.3349, kb_relative_information_score: -129.0753, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9001, predictive_accuracy: 0.8911, prior_entropy: 0.5848, recall: 0.8911, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.7934, scimark_benchmark: 1260.3727, usercpu_time_millis: 1506.44, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 1504.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.904, kappa: 0.557, kb_relative_information_score: 628.3106, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9205, predictive_accuracy: 0.9177, prior_entropy: 0.5848, recall: 0.9177, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.8336, scimark_benchmark: 1267.9417, usercpu_time_millis: 7038.968, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 7037.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9589, kappa: 0.8212, kb_relative_information_score: 2273.0987, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.5191, scimark_benchmark: 1243.0885, usercpu_time_millis: 6949.753, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 6948.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7953, kb_relative_information_score: -404.0915, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9668, scimark_benchmark: 1259.033, usercpu_time_millis: 4636.164, usercpu_time_millis_testing: 2.612, usercpu_time_millis_training: 4633.552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9106, kappa: 0.5966, kb_relative_information_score: 1355.06, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9164, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7322, scimark_benchmark: 1237.0721, usercpu_time_millis: 10035.505, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 10034.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7953, kb_relative_information_score: -2895.9238, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.2693, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0164, scimark_benchmark: 1242.1435, usercpu_time_millis: 1334.202, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 1332.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9512, kappa: 0.7848, kb_relative_information_score: 2048.6768, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9556, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5439, scimark_benchmark: 1275.4303, usercpu_time_millis: 868.551, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 867.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9354, kappa: 0.7103, kb_relative_information_score: 1370.6541, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9432, predictive_accuracy: 0.9414, prior_entropy: 0.5848, recall: 0.9414, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.6475, scimark_benchmark: 1270.1089, usercpu_time_millis: 5419.632, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 5418.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9135, kappa: 0.6112, kb_relative_information_score: 1439.1539, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9186, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7156, scimark_benchmark: 1267.2427, usercpu_time_millis: 10709.396, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 10708.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.9042, kappa: 0.5571, kb_relative_information_score: 884.8921, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9226, predictive_accuracy: 0.9183, prior_entropy: 0.5848, recall: 0.9183, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.8046, scimark_benchmark: 1242.755, usercpu_time_millis: 7713.057, usercpu_time_millis_testing: 2.351, usercpu_time_millis_training: 7710.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9734, kappa: 0.8869, kb_relative_information_score: 2665, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4219, scimark_benchmark: 1266.6378, usercpu_time_millis: 5777.639, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 5776.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9718, kappa: 0.8801, kb_relative_information_score: 2668.37, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4226, scimark_benchmark: 1257.1579, usercpu_time_millis: 1361.505, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 1360.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9513, kappa: 0.7881, kb_relative_information_score: 2147.3139, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9533, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5632, scimark_benchmark: 1266.1311, usercpu_time_millis: 3605.026, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 3603.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9133, kappa: 0.6048, kb_relative_information_score: 1331.6126, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9245, predictive_accuracy: 0.9238, prior_entropy: 0.5848, recall: 0.9238, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7273, scimark_benchmark: 1247.1541, usercpu_time_millis: 5551.525, usercpu_time_millis_testing: 2.006, usercpu_time_millis_training: 5549.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.96, kappa: 0.8278, kb_relative_information_score: 2290.0278, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5269, scimark_benchmark: 1267.7496, usercpu_time_millis: 3965.963, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 3963.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9661, kappa: 0.8576, kb_relative_information_score: 2637.3799, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9659, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4813, scimark_benchmark: 1253.813, usercpu_time_millis: 6996.038, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 6994.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9721, kappa: 0.8809, kb_relative_information_score: 2591.7299, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4303, scimark_benchmark: 1270.2419, usercpu_time_millis: 8534.017, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 8533.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7953, kb_relative_information_score: -97.7992, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.9484, scimark_benchmark: 1264.4505, usercpu_time_millis: 4188.65, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 4186.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9415, kappa: 0.7385, kb_relative_information_score: -6133.8084, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9488, predictive_accuracy: 0.9466, prior_entropy: 0.5848, recall: 0.9466, relative_absolute_error: 1.7781, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.43, root_relative_squared_error: 1.2393, scimark_benchmark: 1243.2052, usercpu_time_millis: 1787.364, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 1785.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1084.1927, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7906, scimark_benchmark: 1264.349, usercpu_time_millis: 10269.23, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 10268.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7953, kb_relative_information_score: -2025.1237, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.1654, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.9583, scimark_benchmark: 1220.5176, usercpu_time_millis: 95.864, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 94.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.968, kappa: 0.8621, kb_relative_information_score: 2500.3476, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.4681, scimark_benchmark: 1241.1382, usercpu_time_millis: 5211.996, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 5209.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9357, kappa: 0.7141, kb_relative_information_score: 1826.723, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9405, predictive_accuracy: 0.9408, prior_entropy: 0.5848, recall: 0.9408, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.628, scimark_benchmark: 1266.8532, usercpu_time_millis: 5915.892, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 5914.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9114, kappa: 0.6006, kb_relative_information_score: 1341.4936, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.917, predictive_accuracy: 0.9204, prior_entropy: 0.5848, recall: 0.9204, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7324, scimark_benchmark: 1263.5499, usercpu_time_millis: 4356.039, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 4355.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9667, kappa: 0.8599, kb_relative_information_score: 2664.9334, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4694, scimark_benchmark: 1268.2924, usercpu_time_millis: 5554.861, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 5553.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9695, kappa: 0.8709, kb_relative_information_score: 2694.1821, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4543, scimark_benchmark: 1266.7824, usercpu_time_millis: 13379.044, usercpu_time_millis_testing: 4.797, usercpu_time_millis_training: 13374.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -7390.0517, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 2.0711, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.499, root_relative_squared_error: 1.4381, scimark_benchmark: 1248.8473, usercpu_time_millis: 1779.063, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 1777.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9738, kappa: 0.8885, kb_relative_information_score: 2647.1899, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4224, scimark_benchmark: 1242.1935, usercpu_time_millis: 10616.643, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 10615.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9335, kappa: 0.7004, kb_relative_information_score: 1813.4529, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.943, predictive_accuracy: 0.9402, prior_entropy: 0.5848, recall: 0.9402, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6149, scimark_benchmark: 1250.8629, usercpu_time_millis: 9150.515, usercpu_time_millis_testing: 5.327, usercpu_time_millis_training: 9145.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9263, kappa: 0.6702, kb_relative_information_score: 1660.5116, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9318, predictive_accuracy: 0.9329, prior_entropy: 0.5848, recall: 0.9329, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.6652, scimark_benchmark: 1220.9983, usercpu_time_millis: 2677.229, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 2676.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7953, kb_relative_information_score: -690.7401, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.03, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9325, scimark_benchmark: 1265.521, usercpu_time_millis: 865.067, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 864.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: -2852.9027, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8798, predictive_accuracy: 0.8603, prior_entropy: 0.5848, recall: 0.8603, relative_absolute_error: 1.2467, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9496, scimark_benchmark: 1265.0753, usercpu_time_millis: 2045.22, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 2043.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9517, kappa: 0.7873, kb_relative_information_score: 2151.2212, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9556, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5496, scimark_benchmark: 1240.0524, usercpu_time_millis: 6896.633, usercpu_time_millis_testing: 3.236, usercpu_time_millis_training: 6893.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9369, kappa: 0.7206, kb_relative_information_score: 1746.5926, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.9418, prior_entropy: 0.5848, recall: 0.9418, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.6501, scimark_benchmark: 1250.6601, usercpu_time_millis: 10575.805, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 10574.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.8094, kappa: 0.0734, kb_relative_information_score: -1274.2291, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8437, predictive_accuracy: 0.864, prior_entropy: 0.5848, recall: 0.864, relative_absolute_error: 1.0974, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9417, scimark_benchmark: 1265.5953, usercpu_time_millis: 6318.65, usercpu_time_millis_testing: 2.894, usercpu_time_millis_training: 6315.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.8111, kappa: 0.0817, kb_relative_information_score: -5233.4776, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8532, predictive_accuracy: 0.8652, prior_entropy: 0.5848, recall: 0.8652, relative_absolute_error: 1.607, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.143, scimark_benchmark: 1270.4756, usercpu_time_millis: 4587.788, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 4586.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9718, kappa: 0.8809, kb_relative_information_score: 2696.6506, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4559, scimark_benchmark: 1264.9001, usercpu_time_millis: 9203.527, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 9200.009,

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