OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -1765.5111, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8233, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1280.7005, usercpu_time_millis: 263.807, usercpu_time_millis_testing: 15.578, usercpu_time_millis_training: 248.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7733, kappa: 0.0766, kb_relative_information_score: -3820.2833, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1283.3031, usercpu_time_millis: 396.638, usercpu_time_millis_testing: 8.403, usercpu_time_millis_training: 388.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7731, kappa: 0.0756, kb_relative_information_score: -2427.5885, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1321.0091, usercpu_time_millis: 629.159, usercpu_time_millis_testing: 18.963, usercpu_time_millis_training: 610.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7742, kappa: 0.0805, kb_relative_information_score: -3291.6476, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1295.1395, usercpu_time_millis: 1384.661, usercpu_time_millis_testing: 40.494, usercpu_time_millis_training: 1344.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7737, kappa: 0.0783, kb_relative_information_score: -3285.0664, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1318.1047, usercpu_time_millis: 295.901, usercpu_time_millis_testing: 9.596, usercpu_time_millis_training: 286.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7755, kappa: 0.0877, kb_relative_information_score: -3819.8297, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7853, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1312.7061, usercpu_time_millis: 143.868, usercpu_time_millis_testing: 3.618, usercpu_time_millis_training: 140.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7741, kappa: 0.0801, kb_relative_information_score: -2435.0333, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1308.0444, usercpu_time_millis: 837.392, usercpu_time_millis_testing: 24.178, usercpu_time_millis_training: 813.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7705, kappa: 0.0645, kb_relative_information_score: -3537.4277, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1296.5761, usercpu_time_millis: 1846.114, usercpu_time_millis_testing: 50.805, usercpu_time_millis_training: 1795.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.77, kappa: 0.0623, kb_relative_information_score: -3540.6604, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9634, scimark_benchmark: 1300.8463, usercpu_time_millis: 648.396, usercpu_time_millis_testing: 20.054, usercpu_time_millis_training: 628.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7733, kappa: 0.0764, kb_relative_information_score: -3036.6283, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1276.3596, usercpu_time_millis: 1327.697, usercpu_time_millis_testing: 42.839, usercpu_time_millis_training: 1284.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7746, kappa: 0.0826, kb_relative_information_score: -3723.3137, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1267.4944, usercpu_time_millis: 3530.568, usercpu_time_millis_testing: 56.574, usercpu_time_millis_training: 3473.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7714, kappa: 0.068, kb_relative_information_score: -3281.5835, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1298.6581, usercpu_time_millis: 856.624, usercpu_time_millis_testing: 28.247, usercpu_time_millis_training: 828.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7741, kappa: 0.0801, kb_relative_information_score: -3513.8912, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1281.7157, usercpu_time_millis: 280.897, usercpu_time_millis_testing: 8.112, usercpu_time_millis_training: 272.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7768, kappa: 0.0924, kb_relative_information_score: -3935.1953, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1303.0765, usercpu_time_millis: 994.939, usercpu_time_millis_testing: 14.452, usercpu_time_millis_training: 980.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7707, kappa: 0.0658, kb_relative_information_score: -3848.1726, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7908, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1268.3218, usercpu_time_millis: 323.444, usercpu_time_millis_testing: 7.074, usercpu_time_millis_training: 316.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7696, kappa: 0.0605, kb_relative_information_score: -3286.4807, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1281.5267, usercpu_time_millis: 285.882, usercpu_time_millis_testing: 13.949, usercpu_time_millis_training: 271.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -1837.637, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8283, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1288.8306, usercpu_time_millis: 1022.181, usercpu_time_millis_testing: 68.25, usercpu_time_millis_training: 953.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -1740.9988, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8221, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1282.7758, usercpu_time_millis: 1482.336, usercpu_time_millis_testing: 83.526, usercpu_time_millis_training: 1398.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.7778, kappa: 0.1005, kb_relative_information_score: -4315.2038, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9791, scimark_benchmark: 1284.2357, usercpu_time_millis: 3438.883, usercpu_time_millis_testing: 30.11, usercpu_time_millis_training: 3408.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.7784, kappa: 0.1022, kb_relative_information_score: -3894.9403, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7816, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1267.5642, usercpu_time_millis: 897.977, usercpu_time_millis_testing: 13.716, usercpu_time_millis_training: 884.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -1743.4821, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8251, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1292.136, usercpu_time_millis: 1199.546, usercpu_time_millis_testing: 64.27, usercpu_time_millis_training: 1135.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7724, kappa: 0.0728, kb_relative_information_score: -3445.8123, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1295.3876, usercpu_time_millis: 828.899, usercpu_time_millis_testing: 19.191, usercpu_time_millis_training: 809.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7762, kappa: 0.0926, kb_relative_information_score: -4146.2799, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7786, predictive_accuracy: 0.8301, prior_entropy: 0.6541, recall: 0.8301, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9757, scimark_benchmark: 1274.9053, usercpu_time_millis: 580.745, usercpu_time_millis_testing: 9.364, usercpu_time_millis_training: 571.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -2073.2838, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8143, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1305.1396, usercpu_time_millis: 976.367, usercpu_time_millis_testing: 82.025, usercpu_time_millis_training: 894.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.7776, kappa: 0.0981, kb_relative_information_score: -4123.0882, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7818, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1275.5265, usercpu_time_millis: 361.403, usercpu_time_millis_testing: 7.731, usercpu_time_millis_training: 353.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7716, kappa: 0.0691, kb_relative_information_score: -3580.9201, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1280.2714, usercpu_time_millis: 3847.559, usercpu_time_millis_testing: 94.249, usercpu_time_millis_training: 3753.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7563, kappa: 0.0049, kb_relative_information_score: -2006.3225, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8229, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1281.7846, usercpu_time_millis: 2100.841, usercpu_time_millis_testing: 145.388, usercpu_time_millis_training: 1955.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7713, kappa: 0.0676, kb_relative_information_score: -3389.5987, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1309.5543, usercpu_time_millis: 1430.068, usercpu_time_millis_testing: 48.423, usercpu_time_millis_training: 1381.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7586, kappa: 0.0144, kb_relative_information_score: -1716.4409, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1274.6843, usercpu_time_millis: 1497.103, usercpu_time_millis_testing: 72.067, usercpu_time_millis_training: 1425.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -1838.7739, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1291.7252, usercpu_time_millis: 285.861, usercpu_time_millis_testing: 16.792, usercpu_time_millis_training: 269.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -104075.7212, mean_absolute_error: 0.8316, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.1684, prior_entropy: 0.6541, recall: 0.1684, relative_absolute_error: 2.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.9119, root_relative_squared_error: 2.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7893, kappa: 0.1575, kb_relative_information_score: -689.3634, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7846, predictive_accuracy: 0.8283, prior_entropy: 0.6541, recall: 0.8283, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1278.6225, usercpu_time_millis: 5062.553, usercpu_time_millis_testing: 88.925, usercpu_time_millis_training: 4973.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.7697, kappa: 0.0608, kb_relative_information_score: -1329.3533, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8116, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9527, scimark_benchmark: 1289.0322, usercpu_time_millis: 5298.254, usercpu_time_millis_testing: 87.429, usercpu_time_millis_training: 5210.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7628, kappa: 0.0316, kb_relative_information_score: -2264.8813, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.814, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1273.0112, usercpu_time_millis: 3105.213, usercpu_time_millis_testing: 77.555, usercpu_time_millis_training: 3027.658,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3346.7604, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1285.0058, usercpu_time_millis: 715.891, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 715.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7632, kappa: 0.0334, kb_relative_information_score: -2051.969, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8142, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1248.0234, usercpu_time_millis: 7110.177, usercpu_time_millis_testing: 100.745, usercpu_time_millis_training: 7009.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7785, kappa: 0.0987, kb_relative_information_score: -846.0501, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.9511, scimark_benchmark: 1255.8041, usercpu_time_millis: 3569.888, usercpu_time_millis_testing: 51.361, usercpu_time_millis_training: 3518.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7551, kb_relative_information_score: -2704.2492, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1296.8904, usercpu_time_millis: 1297.083, usercpu_time_millis_testing: 17.245, usercpu_time_millis_training: 1279.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7551, kb_relative_information_score: -6964.3167, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9772, scimark_benchmark: 1292.0088, usercpu_time_millis: 1190.733, usercpu_time_millis_testing: 27.05, usercpu_time_millis_training: 1163.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: -3533.6025, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8255, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9864, scimark_benchmark: 1265.5848, usercpu_time_millis: 489.609, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 489.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2790.0222, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1291.2897, usercpu_time_millis: 1190.7, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1190.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3329.5437, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1295.1598, usercpu_time_millis: 717.996, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 717.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7551, kb_relative_information_score: -44291.11, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.4535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.1193, scimark_benchmark: 1257.9085, usercpu_time_millis: 53.115, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 52.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3417.0262, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1289.5098, usercpu_time_millis: 643.394, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 643.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7888, kappa: 0.1481, kb_relative_information_score: 529.6512, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1256.6252, usercpu_time_millis: 7036.671, usercpu_time_millis_testing: 187.617, usercpu_time_millis_training: 6849.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2809.31, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1268.1162, usercpu_time_millis: 444.406, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 444.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3458.0356, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1267.5418, usercpu_time_millis: 1081.264, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1081.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7551, kb_relative_information_score: -10352.5536, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0809, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9909, scimark_benchmark: 1298.7179, usercpu_time_millis: 1048.491, usercpu_time_millis_testing: 15.577, usercpu_time_millis_training: 1032.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7836, kappa: 0.1583, kb_relative_information_score: 2740.2681, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7707, predictive_accuracy: 0.8093, prior_entropy: 0.6541, recall: 0.8093, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0557, scimark_benchmark: 1266.6292, usercpu_time_millis: 10695.118, usercpu_time_millis_testing: 117.882, usercpu_time_millis_training: 10577.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7652, kappa: 0.042, kb_relative_information_score: -1351.3802, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8059, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9559, scimark_benchmark: 1271.2937, usercpu_time_millis: 5581.098, usercpu_time_millis_testing: 86.789, usercpu_time_millis_training: 5494.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: -2145.9517, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8244, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9904, scimark_benchmark: 1283.316, usercpu_time_millis: 589.126, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 589.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.582, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1278.9772, usercpu_time_millis: 211.421, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 211.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3343.0968, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8168, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9843, scimark_benchmark: 1263.2866, usercpu_time_millis: 114.242, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 114.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3396.3786, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1298.5927, usercpu_time_millis: 460.04, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 459.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7734, kappa: 0.0767, kb_relative_information_score: -1243.1992, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9542, scimark_benchmark: 1251.1518, usercpu_time_millis: 2018.285, usercpu_time_millis_testing: 34.585, usercpu_time_millis_training: 1983.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7749, kappa: 0.0828, kb_relative_information_score: -876.3101, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9513, scimark_benchmark: 1273.3952, usercpu_time_millis: 2846.222, usercpu_time_millis_testing: 34.291, usercpu_time_millis_training: 2811.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2559.2519, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1252.9901, usercpu_time_millis: 1967.886, usercpu_time_millis_testing: 38.727, usercpu_time_millis_training: 1929.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3860.9126, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9913, scimark_benchmark: 1265.8058, usercpu_time_millis: 64.327, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 64.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.4421, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.4913, usercpu_time_millis: 1034.594, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1034.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -2505.2174, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1286.1274, usercpu_time_millis: 496.805, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 496.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3462.9413, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1266.7602, usercpu_time_millis: 163.076, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 162.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3197.2535, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1254.4055, usercpu_time_millis: 792.001, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 791.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7551, kb_relative_information_score: -2143.6298, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9843, scimark_benchmark: 1274.3282, usercpu_time_millis: 1400.59, usercpu_time_millis_testing: 23.15, usercpu_time_millis_training: 1377.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7638, kappa: 0.0362, kb_relative_information_score: -2008.8547, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7913, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1275.5499, usercpu_time_millis: 1127.65, usercpu_time_millis_testing: 16.956, usercpu_time_millis_training: 1110.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7852, kappa: 0.1292, kb_relative_information_score: -495.2777, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8366, prior_entropy: 0.6541, recall: 0.8366, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9529, scimark_benchmark: 1256.7102, usercpu_time_millis: 1619.188, usercpu_time_millis_testing: 35.146, usercpu_time_millis_training: 1584.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3465.5871, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1282.6225, usercpu_time_millis: 670.253, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 670.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2822.5352, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1274.0742, usercpu_time_millis: 693.555, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 693.493,

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