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: 0.9742, f_measure: 0.9678, kappa: 0.8617, kb_relative_information_score: 2543.5967, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4521, scimark_benchmark: 1275.7474, usercpu_time_millis: 5989.911, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 5989.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.8283, kappa: 0.1689, kb_relative_information_score: 577.7142, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8853, predictive_accuracy: 0.8744, prior_entropy: 0.5848, recall: 0.8744, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.297, root_relative_squared_error: 0.856, scimark_benchmark: 1250.9073, usercpu_time_millis: 5508.053, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 5505.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9675, kappa: 0.8629, kb_relative_information_score: 2618.9228, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4739, scimark_benchmark: 1248.1272, usercpu_time_millis: 8958.278, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 8957.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.8975, kappa: 0.5298, kb_relative_information_score: 359.9467, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9079, predictive_accuracy: 0.9109, prior_entropy: 0.5848, recall: 0.9109, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.8584, scimark_benchmark: 1243.2957, usercpu_time_millis: 3320.512, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 3319.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8942, kappa: 0.5067, kb_relative_information_score: 675.7035, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.917, predictive_accuracy: 0.9116, prior_entropy: 0.5848, recall: 0.9116, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7604, scimark_benchmark: 1255.5094, usercpu_time_millis: 2168.801, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 2167.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9716, kappa: 0.8787, kb_relative_information_score: 2550.3372, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4547, scimark_benchmark: 1272.1941, usercpu_time_millis: 3708.413, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 3706.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1092.8876, mean_absolute_error: 0.1556, 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: 0.6459, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.274, root_relative_squared_error: 0.7897, scimark_benchmark: 1255.8049, usercpu_time_millis: 2702.568, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 2701.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.9049, kappa: 0.5685, kb_relative_information_score: 1053.568, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9116, predictive_accuracy: 0.9155, prior_entropy: 0.5848, recall: 0.9155, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.792, scimark_benchmark: 1276.7946, usercpu_time_millis: 10361.294, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 10360.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9597, kappa: 0.8246, kb_relative_information_score: 2301.1069, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9623, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4932, scimark_benchmark: 1267.2215, usercpu_time_millis: 8339.455, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 8338.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9679, kappa: 0.864, kb_relative_information_score: 2513.9697, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.968, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4638, scimark_benchmark: 1270.694, usercpu_time_millis: 4739.69, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 4738.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9379, kappa: 0.7247, kb_relative_information_score: 1818.979, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.5848, recall: 0.9427, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6345, scimark_benchmark: 1271.4175, usercpu_time_millis: 2683.294, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 2682.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.891, kappa: 0.4904, kb_relative_information_score: 651.605, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9151, predictive_accuracy: 0.9094, prior_entropy: 0.5848, recall: 0.9094, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.7835, scimark_benchmark: 1270.4919, usercpu_time_millis: 4145.156, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 4144.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2394.3944, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5235, scimark_benchmark: 1240.2323, usercpu_time_millis: 2295.255, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 2293.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9701, kappa: 0.8721, kb_relative_information_score: 2553.6648, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4497, scimark_benchmark: 1246.2139, usercpu_time_millis: 12351.56, usercpu_time_millis_testing: 4.733, usercpu_time_millis_training: 12346.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9376, kappa: 0.723, kb_relative_information_score: 1857.1332, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.5848, recall: 0.9427, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.6208, scimark_benchmark: 1273.1329, usercpu_time_millis: 10863.763, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 10862.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7953, kb_relative_information_score: 65.7333, mean_absolute_error: 0.2371, 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: 0.9841, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.9858, scimark_benchmark: 1255.6299, usercpu_time_millis: 3088.59, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 3086.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9273, kappa: 0.6741, kb_relative_information_score: 1602.3873, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.5848, recall: 0.9341, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.6737, scimark_benchmark: 1261.1858, usercpu_time_millis: 4814.21, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 4813.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9744, kappa: 0.8912, kb_relative_information_score: 2676.8724, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4285, scimark_benchmark: 1248.1196, usercpu_time_millis: 7666.094, usercpu_time_millis_testing: 4.045, usercpu_time_millis_training: 7662.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.935, kappa: 0.7085, kb_relative_information_score: 1634.8154, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9429, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.6377, scimark_benchmark: 1262.107, usercpu_time_millis: 3949.353, usercpu_time_millis_testing: 2.488, usercpu_time_millis_training: 3946.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.9122, kappa: 0.6003, kb_relative_information_score: 990.0801, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9222, predictive_accuracy: 0.9225, prior_entropy: 0.5848, recall: 0.9225, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.7688, scimark_benchmark: 1251.3539, usercpu_time_millis: 5032.445, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 5030.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9461, kappa: 0.7631, kb_relative_information_score: 2004.2906, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.5834, scimark_benchmark: 1274.0961, usercpu_time_millis: 3959.927, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 3959.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9133, kappa: 0.6095, kb_relative_information_score: 1445.6991, mean_absolute_error: 0.1356, 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: 0.563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7091, scimark_benchmark: 1278.4057, usercpu_time_millis: 3541.532, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 3540.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9131, kappa: 0.6086, kb_relative_information_score: 1418.5822, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.919, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7156, scimark_benchmark: 1272.8326, usercpu_time_millis: 8572.032, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 8571.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9386, kappa: 0.7282, kb_relative_information_score: 1890.5702, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.5848, recall: 0.9433, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6081, scimark_benchmark: 1262.7527, usercpu_time_millis: 5117.198, usercpu_time_millis_testing: 2.932, usercpu_time_millis_training: 5114.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9084, kappa: 0.5865, kb_relative_information_score: 1252.1281, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9141, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.752, scimark_benchmark: 1278.3731, usercpu_time_millis: 9821.461, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 9820.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9081, kappa: 0.5757, kb_relative_information_score: 1390.1649, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9266, predictive_accuracy: 0.9213, prior_entropy: 0.5848, recall: 0.9213, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.6967, scimark_benchmark: 1269.9626, usercpu_time_millis: 6079.145, usercpu_time_millis_testing: 4.058, usercpu_time_millis_training: 6075.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.9167, kappa: 0.6242, kb_relative_information_score: 1347.4657, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9236, predictive_accuracy: 0.9253, prior_entropy: 0.5848, recall: 0.9253, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7194, scimark_benchmark: 1235.7527, usercpu_time_millis: 4693.5, usercpu_time_millis_testing: 2.304, usercpu_time_millis_training: 4691.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 902.4509, 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: 0.6993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8199, scimark_benchmark: 1278.3487, usercpu_time_millis: 9875.051, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 9874.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9323, kappa: 0.698, kb_relative_information_score: 1797.6125, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6311, scimark_benchmark: 1276.9032, usercpu_time_millis: 8446.822, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 8445.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: -5943.6058, mean_absolute_error: 0.4194, 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: 1.7408, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.2185, scimark_benchmark: 1260.0129, usercpu_time_millis: 899.537, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 898.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7953, kb_relative_information_score: 327.8566, mean_absolute_error: 0.2236, 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: 0.9282, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9313, scimark_benchmark: 1280.7756, usercpu_time_millis: 5985.174, usercpu_time_millis_testing: 2.576, usercpu_time_millis_training: 5982.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9383, kappa: 0.727, kb_relative_information_score: 1922.7292, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9425, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.6055, scimark_benchmark: 1274.2674, usercpu_time_millis: 9660.034, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 9655.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9732, kappa: 0.8867, kb_relative_information_score: 2737.1546, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4361, scimark_benchmark: 1276.4987, usercpu_time_millis: 10959.377, usercpu_time_millis_testing: 5.376, usercpu_time_millis_training: 10954.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9615, kappa: 0.8339, kb_relative_information_score: 2442.1611, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9628, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4847, scimark_benchmark: 1266.2264, usercpu_time_millis: 1531.295, usercpu_time_millis_testing: 1.776, usercpu_time_millis_training: 1529.519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.9124, kappa: 0.5991, kb_relative_information_score: 1155.8258, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9253, predictive_accuracy: 0.9235, prior_entropy: 0.5848, recall: 0.9235, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.262, root_relative_squared_error: 0.755, scimark_benchmark: 1268.0291, usercpu_time_millis: 815.933, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 814.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9541, kappa: 0.8009, kb_relative_information_score: 2202.3102, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.5516, scimark_benchmark: 1307.0105, usercpu_time_millis: 6874.594, usercpu_time_millis_testing: 2.592, usercpu_time_millis_training: 6872.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2505.4686, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4417, scimark_benchmark: 1281.2415, usercpu_time_millis: 3643.691, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 3642.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9292, kappa: 0.6842, kb_relative_information_score: 1663.8107, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9344, predictive_accuracy: 0.9353, prior_entropy: 0.5848, recall: 0.9353, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.6652, scimark_benchmark: 1276.6668, usercpu_time_millis: 10324.816, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 10323.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9685, kappa: 0.8677, kb_relative_information_score: 2667.4898, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4595, scimark_benchmark: 1277.9184, usercpu_time_millis: 4327.798, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 4326.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9735, kappa: 0.8879, kb_relative_information_score: 2674.8686, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4243, scimark_benchmark: 1272.875, usercpu_time_millis: 3856.319, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 3855.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9224, kappa: 0.6483, kb_relative_information_score: 1499.1926, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9328, predictive_accuracy: 0.9311, prior_entropy: 0.5848, recall: 0.9311, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.6675, scimark_benchmark: 1282.3581, usercpu_time_millis: 1941.733, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 1940.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9508, kappa: 0.7831, kb_relative_information_score: 2133.3728, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.538, scimark_benchmark: 1284.5767, usercpu_time_millis: 1040.165, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 1039.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7953, kb_relative_information_score: -156.4294, mean_absolute_error: 0.2425, 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: 1.0065, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9749, scimark_benchmark: 1302.5246, usercpu_time_millis: 3821.801, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 3819.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.9029, kappa: 0.561, kb_relative_information_score: 964.4839, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9083, predictive_accuracy: 0.9134, prior_entropy: 0.5848, recall: 0.9134, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8042, scimark_benchmark: 1270.4484, usercpu_time_millis: 7555.167, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 7554.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1085.2036, mean_absolute_error: 0.1564, 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: 0.649, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7905, scimark_benchmark: 1301.0094, usercpu_time_millis: 5721.778, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 5720.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.7953, kb_relative_information_score: -969.5589, mean_absolute_error: 0.2491, 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: 1.034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.845, scimark_benchmark: 1260.2092, usercpu_time_millis: 8054.55, usercpu_time_millis_testing: 6.694, usercpu_time_millis_training: 8047.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9091, kappa: 0.5888, kb_relative_information_score: 1195.3557, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9157, predictive_accuracy: 0.9189, prior_entropy: 0.5848, recall: 0.9189, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.7503, scimark_benchmark: 1286.1343, usercpu_time_millis: 6401.212, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 6400.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9673, kappa: 0.8625, kb_relative_information_score: 2669.5777, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9671, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4682, scimark_benchmark: 1276.5903, usercpu_time_millis: 6207.55, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 6206.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 1925.979, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.5835, scimark_benchmark: 1295.3156, usercpu_time_millis: 2550.668, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 2549.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9111, kappa: 0.5921, kb_relative_information_score: 931.4881, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9257, predictive_accuracy: 0.9228, prior_entropy: 0.5848, recall: 0.9228, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.7887, scimark_benchmark: 1281.9757, usercpu_time_millis: 426.857, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 425.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9531, kappa: 0.7948, kb_relative_information_score: 2211.5656, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5341, scimark_benchmark: 1276.4087, usercpu_time_millis: 9323.987, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 9323.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7953, kb_relative_information_score: 529.5178, mean_absolute_error: 0.2084, 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: 0.865, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.8816, scimark_benchmark: 1302.0718, usercpu_time_millis: 4725.589, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 4723.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9647, kappa: 0.847, kb_relative_information_score: 2236.7106, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.967, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.17, root_relative_squared_error: 0.4899, scimark_benchmark: 1278.5869, usercpu_time_millis: 1975.556, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 1974.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7953, kb_relative_information_score: -1674.1259, mean_absolute_error: 0.2745, 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: 1.1395, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.0057, scimark_benchmark: 1276.1628, usercpu_time_millis: 2682.171, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 2680.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.972, kappa: 0.8817, kb_relative_information_score: 2682.9332, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1285.762, usercpu_time_millis: 3082.758, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 3080.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9704, kappa: 0.8755, kb_relative_information_score: 2665.836, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9703, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4534, scimark_benchmark: 1306.3893, usercpu_time_millis: 2922.419, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 2921.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7953, kb_relative_information_score: -6849.2135, mean_absolute_error: 0.4671, 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: 1.9387, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.348, scimark_benchmark: 1294.2637, usercpu_time_millis: 3208.561, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 3206.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8766, kappa: 0.4169, kb_relative_information_score: -1717.2455, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9085, predictive_accuracy: 0.9006, prior_entropy: 0.5848, recall: 0.9006, relative_absolute_error: 1.1074, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.8682, scimark_benchmark: 1300.4849, usercpu_time_millis: 7423.179, usercpu_time_millis_testing: 2.411, usercpu_time_millis_training: 7420.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9719, kappa: 0.8808, kb_relative_information_score: 2656.8227, 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: 0.1501, root_relative_squared_error: 0.4325, scimark_benchmark: 1297.5829, usercpu_time_millis: 9165.137, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 9164.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2666.7027, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4266, scimark_benchmark: 1273.9398, usercpu_time_millis: 9800.051, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 9799.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1282.3103, usercpu_time_millis: 1120.053, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 1118.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9499, kappa: 0.7801, kb_relative_information_score: 2156.4894, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5485, scimark_benchmark: 1297.7606, usercpu_time_millis: 8603.481, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 8602.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.968, kappa: 0.8627, kb_relative_information_score: 2516.3838, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.463, scimark_benchmark: 1280.1039, usercpu_time_millis: 8281.649, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 8280.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7953, kb_relative_information_score: -582.0707, mean_absolute_error: 0.2515, 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: 1.0437, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9902, scimark_benchmark: 1306.9472, usercpu_time_millis: 666.289, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 665.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9375, kappa: 0.7206, kb_relative_information_score: 1211.1979, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9442, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.6767, scimark_benchmark: 1302.3724, usercpu_time_millis: 4209.425, usercpu_time_millis_testing: 2.207, usercpu_time_millis_training: 4207.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.9143, kappa: 0.6124, kb_relative_information_score: 1202.8221, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9217, predictive_accuracy: 0.9235, prior_entropy: 0.5848, recall: 0.9235, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.7484, scimark_benchmark: 1305.2287, usercpu_time_millis: 6730.443, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 6729.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9667, kappa: 0.8599, kb_relative_information_score: 2657.9907, mean_absolute_error: 0.0375, 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: 0.1555, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.471, scimark_benchmark: 1305.4093, usercpu_time_millis: 10391.831, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 10391.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9739, kappa: 0.8896, kb_relative_information_score: 2747.8201, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4396, scimark_benchmark: 1285.5491, usercpu_time_millis: 8740.304, usercpu_time_millis_testing: 4.84, usercpu_time_millis_training: 8735.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.967, kappa: 0.861, kb_relative_information_score: 2653.2967, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4715, scimark_benchmark: 1300.2373, usercpu_time_millis: 3457.018, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 3456.171,

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