OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2596.4977, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4342, scimark_benchmark: 1270.9212, usercpu_time_millis: 1962.844, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 1959.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9761, kappa: 0.8987, kb_relative_information_score: 2616.7071, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4068, scimark_benchmark: 1287.642, usercpu_time_millis: 747.386, usercpu_time_millis_testing: 5.067, usercpu_time_millis_training: 742.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2588.5579, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.436, scimark_benchmark: 1300.6198, usercpu_time_millis: 11416.1, usercpu_time_millis_testing: 7.952, usercpu_time_millis_training: 11408.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 2655.3675, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4088, scimark_benchmark: 1281.3148, usercpu_time_millis: 6615.634, usercpu_time_millis_testing: 11.323, usercpu_time_millis_training: 6604.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9655, kappa: 0.8532, kb_relative_information_score: 2426.3477, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4712, scimark_benchmark: 1301.4807, usercpu_time_millis: 1302.59, usercpu_time_millis_testing: 9.248, usercpu_time_millis_training: 1293.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9745, kappa: 0.8922, kb_relative_information_score: 2557.2589, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.423, scimark_benchmark: 1303.44, usercpu_time_millis: 926.249, usercpu_time_millis_testing: 6.885, usercpu_time_millis_training: 919.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9735, kappa: 0.8879, kb_relative_information_score: 2552.685, mean_absolute_error: 0.048, 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: 0.1993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4396, scimark_benchmark: 1273.0016, usercpu_time_millis: 526.966, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 523.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9749, kappa: 0.894, kb_relative_information_score: 2638.8608, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4077, scimark_benchmark: 1309.7656, usercpu_time_millis: 10178.692, usercpu_time_millis_testing: 19.477, usercpu_time_millis_training: 10159.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2435.1839, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4417, scimark_benchmark: 1307.9116, usercpu_time_millis: 144.384, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 140.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9718, kappa: 0.8809, kb_relative_information_score: 2608.0783, mean_absolute_error: 0.0419, 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: 0.1741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4343, scimark_benchmark: 1331.2601, usercpu_time_millis: 17331.953, usercpu_time_millis_testing: 8.845, usercpu_time_millis_training: 17323.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9731, kappa: 0.8868, kb_relative_information_score: 2641.6691, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4297, scimark_benchmark: 1304.0455, usercpu_time_millis: 7798.378, usercpu_time_millis_testing: 5.511, usercpu_time_millis_training: 7792.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9737, kappa: 0.8892, kb_relative_information_score: 2654.5879, mean_absolute_error: 0.0402, 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: 0.1668, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4133, scimark_benchmark: 1315.8628, usercpu_time_millis: 15135.262, usercpu_time_millis_testing: 11.49, usercpu_time_millis_training: 15123.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2653.1878, mean_absolute_error: 0.04, 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: 0.1659, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4178, scimark_benchmark: 1303.6091, usercpu_time_millis: 5414.511, usercpu_time_millis_testing: 6.367, usercpu_time_millis_training: 5408.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2561.1927, mean_absolute_error: 0.0475, 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: 0.1973, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4412, scimark_benchmark: 1274.9484, usercpu_time_millis: 8258.349, usercpu_time_millis_testing: 10.682, usercpu_time_millis_training: 8247.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2679.8428, mean_absolute_error: 0.0376, 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: 0.1559, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4223, scimark_benchmark: 1304.2906, usercpu_time_millis: 4124.552, usercpu_time_millis_testing: 6.178, usercpu_time_millis_training: 4118.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9734, kappa: 0.888, kb_relative_information_score: 2630.9632, mean_absolute_error: 0.0399, 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: 0.1654, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4306, scimark_benchmark: 1345.6517, usercpu_time_millis: 17585.868, usercpu_time_millis_testing: 8.04, usercpu_time_millis_training: 17577.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.964, kappa: 0.8466, kb_relative_information_score: 2392.9825, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4889, scimark_benchmark: 1303.0701, usercpu_time_millis: 1256.114, usercpu_time_millis_testing: 5.394, usercpu_time_millis_training: 1250.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9752, kappa: 0.8954, kb_relative_information_score: 2642.3994, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4067, scimark_benchmark: 1301.7107, usercpu_time_millis: 4905.309, usercpu_time_millis_testing: 10.163, usercpu_time_millis_training: 4895.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9721, kappa: 0.8821, kb_relative_information_score: 2643.6198, mean_absolute_error: 0.0401, 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: 0.1665, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4228, scimark_benchmark: 1267.2833, usercpu_time_millis: 3500.277, usercpu_time_millis_testing: 4.686, usercpu_time_millis_training: 3495.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9657, kappa: 0.8543, kb_relative_information_score: 2480.4551, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9658, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.465, scimark_benchmark: 1280.4535, usercpu_time_millis: 1510.716, usercpu_time_millis_testing: 4.49, usercpu_time_millis_training: 1506.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2428.8538, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.442, scimark_benchmark: 1303.876, usercpu_time_millis: 1040.374, usercpu_time_millis_testing: 24.458, usercpu_time_millis_training: 1015.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9708, kappa: 0.8764, kb_relative_information_score: 2539.2046, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.451, scimark_benchmark: 1333.209, usercpu_time_millis: 9309.744, usercpu_time_millis_testing: 10.326, usercpu_time_millis_training: 9299.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9743, kappa: 0.8916, kb_relative_information_score: 2669.8077, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4139, scimark_benchmark: 1351.0165, usercpu_time_millis: 8634.031, usercpu_time_millis_testing: 9.624, usercpu_time_millis_training: 8624.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2536, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4463, scimark_benchmark: 1351.6064, usercpu_time_millis: 6856.542, usercpu_time_millis_testing: 9.307, usercpu_time_millis_training: 6847.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9742, kappa: 0.8906, kb_relative_information_score: 2574.5082, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4184, scimark_benchmark: 1301.9727, usercpu_time_millis: 505.932, usercpu_time_millis_testing: 4.886, usercpu_time_millis_training: 501.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2561.6027, mean_absolute_error: 0.0475, 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: 0.1971, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4399, scimark_benchmark: 1309.3998, usercpu_time_millis: 8246.847, usercpu_time_millis_testing: 11.591, usercpu_time_millis_training: 8235.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2559.7652, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4461, scimark_benchmark: 1313.5585, usercpu_time_millis: 8070.576, usercpu_time_millis_testing: 8.44, usercpu_time_millis_training: 8062.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9766, kappa: 0.9009, kb_relative_information_score: 2568.6002, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4116, scimark_benchmark: 1344.736, usercpu_time_millis: 3080.669, usercpu_time_millis_testing: 25.641, usercpu_time_millis_training: 3055.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9738, kappa: 0.8889, kb_relative_information_score: 2490.2503, mean_absolute_error: 0.0559, 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: 0.2319, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4379, scimark_benchmark: 1355.4634, usercpu_time_millis: 1223.787, usercpu_time_millis_testing: 13.933, usercpu_time_millis_training: 1209.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9737, kappa: 0.8896, kb_relative_information_score: 2668.2099, mean_absolute_error: 0.038, 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: 0.1576, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4187, scimark_benchmark: 1279.4421, usercpu_time_millis: 11050.165, usercpu_time_millis_testing: 6.112, usercpu_time_millis_training: 11044.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2553.2746, mean_absolute_error: 0.0486, 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: 0.2018, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4362, scimark_benchmark: 1352.9105, usercpu_time_millis: 921.295, usercpu_time_millis_testing: 3.717, usercpu_time_millis_training: 917.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.974, kappa: 0.8904, kb_relative_information_score: 2641.0877, mean_absolute_error: 0.0419, 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: 0.174, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4116, scimark_benchmark: 1303.8708, usercpu_time_millis: 9498.27, usercpu_time_millis_testing: 16.389, usercpu_time_millis_training: 9481.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2599.7839, mean_absolute_error: 0.0448, 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: 0.1858, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4226, scimark_benchmark: 1301.9376, usercpu_time_millis: 9133.129, usercpu_time_millis_testing: 16.143, usercpu_time_millis_training: 9116.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2582.4568, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4403, scimark_benchmark: 1280.1746, usercpu_time_millis: 9030.753, usercpu_time_millis_testing: 7.715, usercpu_time_millis_training: 9023.038,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1284.5098, usercpu_time_millis: 6.044, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 5.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9575, kappa: 0.8139, kb_relative_information_score: 2218.9143, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5238, scimark_benchmark: 1269.8839, usercpu_time_millis: 6.555, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 6.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1269.792, usercpu_time_millis: 4.196, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1272.9894, usercpu_time_millis: 4.58, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1279.1816, usercpu_time_millis: 4.014, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1281.2342, usercpu_time_millis: 4.026, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9403, kappa: 0.7326, kb_relative_information_score: 2018.8686, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9482, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.575, scimark_benchmark: 1288.7024, usercpu_time_millis: 16.083, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 15.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.7953, kb_relative_information_score: 179.4832, mean_absolute_error: 0.2345, 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: 0.9731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9749, scimark_benchmark: 1310.3721, usercpu_time_millis: 5.582, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 5.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1283.8784, usercpu_time_millis: 4.167, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 3.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1276.4578, usercpu_time_millis: 4.119, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1305.6159, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 4.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1282.049, usercpu_time_millis: 3.841, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1271.7566, usercpu_time_millis: 3.919, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.4349, kappa: 0.0843, kb_relative_information_score: -4400.2241, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8555, predictive_accuracy: 0.3882, prior_entropy: 0.5848, recall: 0.3882, relative_absolute_error: 1.5155, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.427, root_relative_squared_error: 1.2306, scimark_benchmark: 1278.1791, usercpu_time_millis: 2696.734, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2696.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8933, kappa: 0.5971, kb_relative_information_score: 1437.7281, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9101, predictive_accuracy: 0.885, prior_entropy: 0.5848, recall: 0.885, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.6451, scimark_benchmark: 1264.5511, usercpu_time_millis: 129.309, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 129.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.6676, kappa: 0.138, kb_relative_information_score: -3090.0679, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8173, predictive_accuracy: 0.6075, prior_entropy: 0.5848, recall: 0.6075, relative_absolute_error: 1.4983, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5749, root_relative_squared_error: 1.6568, scimark_benchmark: 1270.5684, usercpu_time_millis: 3593.221, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3592.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1297.3119, usercpu_time_millis: 4.353, usercpu_time_millis_testing: -0.182, usercpu_time_millis_training: 4.535,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.7867, kappa: 0.2529, kb_relative_information_score: -83.9468, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8282, predictive_accuracy: 0.7612, prior_entropy: 0.5848, recall: 0.7612, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9787, scimark_benchmark: 1266.1336, usercpu_time_millis: 2544.927, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2544.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8494, kappa: 0.2774, kb_relative_information_score: 891.5896, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8929, predictive_accuracy: 0.8847, prior_entropy: 0.5848, recall: 0.8847, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8305, scimark_benchmark: 1295.3482, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 4.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.5313, kappa: 0.1257, kb_relative_information_score: -3404.9243, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8597, predictive_accuracy: 0.4712, prior_entropy: 0.5848, recall: 0.4712, relative_absolute_error: 1.3305, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4, root_relative_squared_error: 1.1527, scimark_benchmark: 1295.4249, usercpu_time_millis: 2918.454, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2918.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.6174, kappa: 0.1793, kb_relative_information_score: -2448.6142, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8657, predictive_accuracy: 0.5557, prior_entropy: 0.5848, recall: 0.5557, relative_absolute_error: 1.1641, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.0672, scimark_benchmark: 1263.2659, usercpu_time_millis: 1276.713, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1276.33,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.7953, kb_relative_information_score: 8.2132, mean_absolute_error: 0.2405, 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: 0.9983, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.9991, scimark_benchmark: 1303.8888, usercpu_time_millis: 4.641, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 4.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9284, kappa: 0.6759, kb_relative_information_score: 1708.2358, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9395, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6461, scimark_benchmark: 1244.136, usercpu_time_millis: 5.468, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 5.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1302.9243, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.5307, kappa: 0.1226, kb_relative_information_score: -3419.7851, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8567, predictive_accuracy: 0.4703, prior_entropy: 0.5848, recall: 0.4703, relative_absolute_error: 1.3339, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.1551, scimark_benchmark: 1305.6167, usercpu_time_millis: 2767.159, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2766.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.4351, kappa: 0.0878, kb_relative_information_score: -4418.165, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8604, predictive_accuracy: 0.3891, prior_entropy: 0.5848, recall: 0.3891, relative_absolute_error: 1.5233, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.2288, scimark_benchmark: 1305.0569, usercpu_time_millis: 8076.78, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 8076.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9575, kappa: 0.8139, kb_relative_information_score: 2208.9785, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5253, scimark_benchmark: 1293.3841, usercpu_time_millis: 6.638, usercpu_time_millis_testing: -0.207, usercpu_time_millis_training: 6.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1245.8237, usercpu_time_millis: 4.679, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.758, kappa: 0.3098, kb_relative_information_score: -1719.4272, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8712, predictive_accuracy: 0.7155, prior_entropy: 0.5848, recall: 0.7155, relative_absolute_error: 1.2232, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.532, root_relative_squared_error: 1.5332, scimark_benchmark: 1291.0396, usercpu_time_millis: 716.824, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 716.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, 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: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1301.7691, usercpu_time_millis: 5.712, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 5.315,

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