OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0541, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.0439, scimark_benchmark: 1243.6822, usercpu_time_millis: 253.895, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 252.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6479.7686, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1278, scimark_benchmark: 1291.4006, usercpu_time_millis: 253.981, usercpu_time_millis_testing: 1.243, usercpu_time_millis_training: 252.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8723, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1238.7051, usercpu_time_millis: 377.725, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 374.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1290.8016, usercpu_time_millis: 236.883, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 236.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9289, kappa: 0.7126, kb_relative_information_score: 3896.9721, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.6186, scimark_benchmark: 1233.1937, usercpu_time_millis: 508.241, usercpu_time_millis_testing: 3.397, usercpu_time_millis_training: 504.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.966, kappa: 0.8676, kb_relative_information_score: 5248.778, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9659, predictive_accuracy: 0.9665, prior_entropy: 0.6204, recall: 0.9665, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.451, scimark_benchmark: 1286.1773, usercpu_time_millis: 732.614, usercpu_time_millis_testing: 7.643, usercpu_time_millis_training: 724.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.9475, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0446, scimark_benchmark: 1228.0558, usercpu_time_millis: 273.36, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 272.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.3483, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0436, scimark_benchmark: 1267.2396, usercpu_time_millis: 250.605, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 249.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2483.6057, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.7928, scimark_benchmark: 1282.8587, usercpu_time_millis: 988.752, usercpu_time_millis_testing: 13.28, usercpu_time_millis_training: 975.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.135, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0088, root_relative_squared_error: 0.0243, scimark_benchmark: 1249.9391, usercpu_time_millis: 321.528, usercpu_time_millis_testing: 2.509, usercpu_time_millis_training: 319.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9967, kappa: 0.9873, kb_relative_information_score: 6431.3726, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1505, scimark_benchmark: 1248.1741, usercpu_time_millis: 296.703, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 295.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9586, kappa: 0.8376, kb_relative_information_score: 5084.5746, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9588, predictive_accuracy: 0.9597, prior_entropy: 0.6204, recall: 0.9597, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4739, scimark_benchmark: 1251.7123, usercpu_time_millis: 449.484, usercpu_time_millis_testing: 3.338, usercpu_time_millis_training: 446.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9875, kappa: 0.9521, kb_relative_information_score: 6039.1345, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.6204, recall: 0.9876, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2707, scimark_benchmark: 1243.7603, usercpu_time_millis: 323.23, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 320.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6578.2299, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0472, scimark_benchmark: 1289.848, usercpu_time_millis: 255.085, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 254.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9648, kappa: 0.8632, kb_relative_information_score: 5180.6368, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4587, scimark_benchmark: 1258.5655, usercpu_time_millis: 540.855, usercpu_time_millis_testing: 5.612, usercpu_time_millis_training: 535.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9734, kappa: 0.8962, kb_relative_information_score: 5572.1573, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.6204, recall: 0.9738, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3951, scimark_benchmark: 1287.2247, usercpu_time_millis: 542.134, usercpu_time_millis_testing: 4.538, usercpu_time_millis_training: 537.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9739, kappa: 0.8985, kb_relative_information_score: 5647.9553, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9739, predictive_accuracy: 0.9742, prior_entropy: 0.6204, recall: 0.9742, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3749, scimark_benchmark: 1246.0987, usercpu_time_millis: 431.478, usercpu_time_millis_testing: 3.192, usercpu_time_millis_training: 428.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9675, kappa: 0.8738, kb_relative_information_score: 5365.0737, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.6204, recall: 0.968, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.429, scimark_benchmark: 1290.3134, usercpu_time_millis: 418.376, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 415.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.5892, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1283.0632, usercpu_time_millis: 333.646, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 331.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6577.1636, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0235, scimark_benchmark: 1243.1653, usercpu_time_millis: 312.184, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 309.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1264.3432, usercpu_time_millis: 278.642, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 277.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1251.4846, usercpu_time_millis: 279.492, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 278.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1248.2791, usercpu_time_millis: 269.257, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 268.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.7149, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0421, scimark_benchmark: 1251.8354, usercpu_time_millis: 269.907, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 269.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6471.1896, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1322, scimark_benchmark: 1306.6021, usercpu_time_millis: 266.706, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 265.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9532, kappa: 0.8155, kb_relative_information_score: 4650.676, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9536, predictive_accuracy: 0.9547, prior_entropy: 0.6204, recall: 0.9547, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.5159, scimark_benchmark: 1275.5003, usercpu_time_millis: 314.814, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 312.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9424, kappa: 0.7701, kb_relative_information_score: 4170.862, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9435, predictive_accuracy: 0.945, prior_entropy: 0.6204, recall: 0.945, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5784, scimark_benchmark: 1240.8876, usercpu_time_millis: 517.903, usercpu_time_millis_testing: 5.037, usercpu_time_millis_training: 512.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2479.5772, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.7933, scimark_benchmark: 1301.9474, usercpu_time_millis: 925.408, usercpu_time_millis_testing: 11.688, usercpu_time_millis_training: 913.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9631, kappa: 0.8568, kb_relative_information_score: 4614.709, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9629, predictive_accuracy: 0.9635, prior_entropy: 0.6204, recall: 0.9635, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4945, scimark_benchmark: 1291.2577, usercpu_time_millis: 499.359, usercpu_time_millis_testing: 4.802, usercpu_time_millis_training: 494.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9901, kappa: 0.9622, kb_relative_information_score: 6173.1115, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.2449, scimark_benchmark: 1249.272, usercpu_time_millis: 264.388, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 261.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1256.249, usercpu_time_millis: 221.139, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 220.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9759, kappa: 0.9062, kb_relative_information_score: 5714.4824, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.6204, recall: 0.9762, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3681, scimark_benchmark: 1256.1834, usercpu_time_millis: 487.341, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 483.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.4295, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4627, scimark_benchmark: 1262.1394, usercpu_time_millis: 835.545, usercpu_time_millis_testing: 8.991, usercpu_time_millis_training: 826.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9474, kappa: 0.7943, kb_relative_information_score: 4695.5347, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9471, predictive_accuracy: 0.9485, prior_entropy: 0.6204, recall: 0.9485, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.541, scimark_benchmark: 1279.5844, usercpu_time_millis: 516.355, usercpu_time_millis_testing: 5.37, usercpu_time_millis_training: 510.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9838, kb_relative_information_score: 6406.6288, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1614, scimark_benchmark: 1292.0847, usercpu_time_millis: 274.689, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 273.138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.1095, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4627, scimark_benchmark: 1245.3785, usercpu_time_millis: 817.069, usercpu_time_millis_testing: 8.748, usercpu_time_millis_training: 808.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9528, kappa: 0.8151, kb_relative_information_score: 4849.4399, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9526, predictive_accuracy: 0.9538, prior_entropy: 0.6204, recall: 0.9538, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5136, scimark_benchmark: 1248.3903, usercpu_time_millis: 664.347, usercpu_time_millis_testing: 6.372, usercpu_time_millis_training: 657.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1298.7372, usercpu_time_millis: 235.548, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 234.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1308.5997, usercpu_time_millis: 234.562, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 233.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1263.3502, usercpu_time_millis: 298.058, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 297.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.691, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1291.3411, usercpu_time_millis: 187.357, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 186.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9629, kappa: 0.8557, kb_relative_information_score: 5146.9625, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9628, predictive_accuracy: 0.9635, prior_entropy: 0.6204, recall: 0.9635, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4651, scimark_benchmark: 1288.8432, usercpu_time_millis: 603.295, usercpu_time_millis_testing: 6.248, usercpu_time_millis_training: 597.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6477.9734, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1182, scimark_benchmark: 1253.5967, usercpu_time_millis: 385.884, usercpu_time_millis_testing: 2.731, usercpu_time_millis_training: 383.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6532.1112, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1296.3797, usercpu_time_millis: 495.517, usercpu_time_millis_testing: 5.268, usercpu_time_millis_training: 490.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9816, kappa: 0.9292, kb_relative_information_score: 5779.9118, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9816, predictive_accuracy: 0.9817, prior_entropy: 0.6204, recall: 0.9817, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3269, scimark_benchmark: 1300.895, usercpu_time_millis: 308.201, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 305.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9368, kappa: 0.747, kb_relative_information_score: 4233.4064, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9379, predictive_accuracy: 0.9398, prior_entropy: 0.6204, recall: 0.9398, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.5757, scimark_benchmark: 1300.3045, usercpu_time_millis: 405.128, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 402.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.6319, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.0574, scimark_benchmark: 1287.9753, usercpu_time_millis: 246.03, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 245.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6546.4247, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0252, root_relative_squared_error: 0.0699, scimark_benchmark: 1290.5052, usercpu_time_millis: 358.92, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 356.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.987, kappa: 0.9499, kb_relative_information_score: 6005.1867, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.2786, scimark_benchmark: 1253.9251, usercpu_time_millis: 323.74, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 321.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9746, kappa: 0.9013, kb_relative_information_score: 5645.3239, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3823, scimark_benchmark: 1242.6587, usercpu_time_millis: 506.291, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 502.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6577.8321, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0125, root_relative_squared_error: 0.0347, scimark_benchmark: 1262.9146, usercpu_time_millis: 245.733, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 244.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9646, kappa: 0.862, kb_relative_information_score: 5278.701, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4433, scimark_benchmark: 1286.1374, usercpu_time_millis: 408.341, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 405.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6534.7821, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0664, scimark_benchmark: 1242.9907, usercpu_time_millis: 364.128, usercpu_time_millis_testing: 2.802, usercpu_time_millis_training: 361.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6577.4036, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.037, scimark_benchmark: 1256.7414, usercpu_time_millis: 246.832, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 245.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1292.8015, usercpu_time_millis: 229.529, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 228.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9838, kb_relative_information_score: 6407.5242, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.161, scimark_benchmark: 1256.9022, usercpu_time_millis: 271.838, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 270.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.958, kappa: 0.8351, kb_relative_information_score: 5057.457, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9582, predictive_accuracy: 0.9591, prior_entropy: 0.6204, recall: 0.9591, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4781, scimark_benchmark: 1268.5039, usercpu_time_millis: 456.534, usercpu_time_millis_testing: 3.49, usercpu_time_millis_training: 453.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9765, kappa: 0.909, kb_relative_information_score: 5787.2525, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.6204, recall: 0.9768, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3476, scimark_benchmark: 1292.6782, usercpu_time_millis: 428.005, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 425.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6389.5573, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1687, scimark_benchmark: 1257.0511, usercpu_time_millis: 273.198, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 271.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9849, kappa: 0.9417, kb_relative_information_score: 6091.0079, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.273, scimark_benchmark: 1300.8898, usercpu_time_millis: 397.231, usercpu_time_millis_testing: 2.701, usercpu_time_millis_training: 394.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9389, kappa: 0.7547, kb_relative_information_score: 4065.9848, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9407, predictive_accuracy: 0.9421, prior_entropy: 0.6204, recall: 0.9421, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5932, scimark_benchmark: 1255.8322, usercpu_time_millis: 616.325, usercpu_time_millis_testing: 5.58, usercpu_time_millis_training: 610.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9354, kappa: 0.7412, kb_relative_information_score: 4198.6391, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9366, predictive_accuracy: 0.9386, prior_entropy: 0.6204, recall: 0.9386, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5803, scimark_benchmark: 1260.9372, usercpu_time_millis: 417.615, usercpu_time_millis_testing: 2.845, usercpu_time_millis_training: 414.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9511, kappa: 0.8069, kb_relative_information_score: 4558.7204, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9515, predictive_accuracy: 0.9527, prior_entropy: 0.6204, recall: 0.9527, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.5302, scimark_benchmark: 1247.4066, usercpu_time_millis: 375.495, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 372.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6542.2922, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.0902, scimark_benchmark: 1259.6805, usercpu_time_millis: 258.438, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 257.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.6823, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.0548, scimark_benchmark: 1248.3949, usercpu_time_millis: 260.33, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 259.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9575, kappa: 0.8329, kb_relative_information_score: 4846.5097, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9577, predictive_accuracy: 0.9586, prior_entropy: 0.6204, recall: 0.9586, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4859, scimark_benchmark: 1255.5201, usercpu_time_millis: 370.052, usercpu_time_millis_testing: 2.611, usercpu_time_millis_training: 367.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6481.446, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.0977, scimark_benchmark: 1271.6548, usercpu_time_millis: 468.043, usercpu_time_millis_testing: 3.274, usercpu_time_millis_training: 464.769,

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