OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9459, kb_relative_information_score: 6081.8205, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 0.6204, recall: 0.9861, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2699, scimark_benchmark: 1277.2484, usercpu_time_millis: 651.143, usercpu_time_millis_testing: 3.886, usercpu_time_millis_training: 647.257,
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: 1260.0945, usercpu_time_millis: 280.454, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 279.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9467, kappa: 0.7886, kb_relative_information_score: 4423.5377, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9474, predictive_accuracy: 0.9488, prior_entropy: 0.6204, recall: 0.9488, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5497, scimark_benchmark: 1263.4536, usercpu_time_millis: 438.242, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 435.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9856, kappa: 0.9446, kb_relative_information_score: 5932.8024, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.6204, recall: 0.9856, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2949, scimark_benchmark: 1282.1313, usercpu_time_millis: 430.646, usercpu_time_millis_testing: 2.668, usercpu_time_millis_training: 427.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.2878, 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: 0.0438, scimark_benchmark: 1270.8706, usercpu_time_millis: 341.482, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 340.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6530.5204, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0711, scimark_benchmark: 1256.7942, usercpu_time_millis: 338.413, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 335.829,
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: 1278.0514, usercpu_time_millis: 330.444, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 329.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6573.2681, 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: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0478, scimark_benchmark: 1281.797, usercpu_time_millis: 295.466, usercpu_time_millis_testing: 1.573, usercpu_time_millis_training: 293.893,
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: 1256.5628, usercpu_time_millis: 222.62, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 221.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.9861, kb_relative_information_score: 6397.8355, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1576, scimark_benchmark: 1251.6583, usercpu_time_millis: 281.713, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 279.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6414.8236, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1576, scimark_benchmark: 1265.4808, usercpu_time_millis: 277.66, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 276.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9838, kb_relative_information_score: 6409.0086, 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: 0.0294, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1604, scimark_benchmark: 1265.5723, usercpu_time_millis: 278.592, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 277.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9654, kappa: 0.8657, kb_relative_information_score: 5209.9269, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9659, prior_entropy: 0.6204, recall: 0.9659, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551, scimark_benchmark: 1274.4558, usercpu_time_millis: 719.268, usercpu_time_millis_testing: 6.198, usercpu_time_millis_training: 713.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.6641, 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: 1256.1847, usercpu_time_millis: 373.537, usercpu_time_millis_testing: 2.702, usercpu_time_millis_training: 370.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9194, kappa: 0.6728, kb_relative_information_score: 3501.504, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9216, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.678, scimark_benchmark: 1267.0606, usercpu_time_millis: 677.013, usercpu_time_millis_testing: 6.477, usercpu_time_millis_training: 670.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9668, kappa: 0.8706, kb_relative_information_score: 5422.1337, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9667, predictive_accuracy: 0.9673, prior_entropy: 0.6204, recall: 0.9673, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4233, scimark_benchmark: 1272.1104, usercpu_time_millis: 668.24, usercpu_time_millis_testing: 4.763, usercpu_time_millis_training: 663.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.8008, kb_relative_information_score: 4701.6069, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1228.2941, usercpu_time_millis: 668.375, usercpu_time_millis_testing: 9.191, usercpu_time_millis_training: 659.184,
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: 1264.5542, usercpu_time_millis: 288.027, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 287.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.6114, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0271, scimark_benchmark: 1263.1942, usercpu_time_millis: 287.388, usercpu_time_millis_testing: 2.241, usercpu_time_millis_training: 285.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9761, kb_relative_information_score: 6316.4944, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.6204, recall: 0.9938, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1974, scimark_benchmark: 1237.5081, usercpu_time_millis: 435.315, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 432.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9197, kappa: 0.6741, kb_relative_information_score: 3494.0696, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1234.5954, usercpu_time_millis: 627.092, usercpu_time_millis_testing: 5.589, usercpu_time_millis_training: 621.503,
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: 1248.1542, usercpu_time_millis: 338.749, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 337.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6503.7955, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1151, scimark_benchmark: 1261.4638, usercpu_time_millis: 338.176, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 336.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9955, kappa: 0.9826, kb_relative_information_score: 6382.3615, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1719, scimark_benchmark: 1207.7882, usercpu_time_millis: 337.3, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 335.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6578.5593, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.047, scimark_benchmark: 1231.2994, usercpu_time_millis: 292.48, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 291.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.986, kappa: 0.946, kb_relative_information_score: 6106.6992, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 0.6204, recall: 0.9861, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2672, scimark_benchmark: 1271.943, usercpu_time_millis: 506.845, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 503.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9493, kappa: 0.8017, kb_relative_information_score: 4683.3852, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.196, root_relative_squared_error: 0.5429, scimark_benchmark: 1257.3146, usercpu_time_millis: 550.346, usercpu_time_millis_testing: 5.767, usercpu_time_millis_training: 544.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9454, kappa: 0.7832, kb_relative_information_score: 4393.6198, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9461, predictive_accuracy: 0.9476, prior_entropy: 0.6204, recall: 0.9476, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5537, scimark_benchmark: 1250.118, usercpu_time_millis: 372.876, usercpu_time_millis_testing: 2.574, usercpu_time_millis_training: 370.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9652, kappa: 0.8645, kb_relative_information_score: 5189.9031, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9651, predictive_accuracy: 0.9657, prior_entropy: 0.6204, recall: 0.9657, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4586, scimark_benchmark: 1271.2951, usercpu_time_millis: 754.818, usercpu_time_millis_testing: 6.634, usercpu_time_millis_training: 748.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.4346, mean_absolute_error: 0.0557, 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: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4624, scimark_benchmark: 1240.9181, usercpu_time_millis: 727.904, usercpu_time_millis_testing: 8.283, usercpu_time_millis_training: 719.621,
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: 1241.9377, usercpu_time_millis: 246.538, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 245.813,
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: 1272.7649, usercpu_time_millis: 292.81, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 291.979,
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: 1246.1289, usercpu_time_millis: 237.268, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 236.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6490.5637, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.1101, scimark_benchmark: 1262.6495, usercpu_time_millis: 423.611, usercpu_time_millis_testing: 3.151, usercpu_time_millis_training: 420.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6376.2274, mean_absolute_error: 0.009, 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: 0.0344, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1658, scimark_benchmark: 1264.8602, usercpu_time_millis: 417.06, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 413.971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.957, kappa: 0.8316, kb_relative_information_score: 4971.3417, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9569, predictive_accuracy: 0.9579, prior_entropy: 0.6204, recall: 0.9579, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.4919, scimark_benchmark: 1221.1715, usercpu_time_millis: 685.699, usercpu_time_millis_testing: 6.61, usercpu_time_millis_training: 679.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6528.0607, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.031, root_relative_squared_error: 0.086, scimark_benchmark: 1201.6884, usercpu_time_millis: 373.081, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 370.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.9861, kb_relative_information_score: 6403.9456, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1517, scimark_benchmark: 1227.0656, usercpu_time_millis: 391.811, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 389.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3494.6763, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1224.1348, usercpu_time_millis: 666.885, usercpu_time_millis_testing: 6.907, usercpu_time_millis_training: 659.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9617, kappa: 0.8496, kb_relative_information_score: 5216.8536, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9618, predictive_accuracy: 0.9626, prior_entropy: 0.6204, recall: 0.9626, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.473, scimark_benchmark: 1231.7494, usercpu_time_millis: 616.591, usercpu_time_millis_testing: 7.266, usercpu_time_millis_training: 609.325,
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: 1243.2123, usercpu_time_millis: 287.329, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 286.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6572.3893, mean_absolute_error: 0.0009, 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: 0.0035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.019, root_relative_squared_error: 0.0526, scimark_benchmark: 1208.5668, usercpu_time_millis: 251.279, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 250.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9616, kappa: 0.8501, kb_relative_information_score: 5086.9965, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.6204, recall: 0.9624, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.17, root_relative_squared_error: 0.4708, scimark_benchmark: 1243.189, usercpu_time_millis: 563.93, usercpu_time_millis_testing: 5.189, usercpu_time_millis_training: 558.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9708, kb_relative_information_score: 6237.8691, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2191, scimark_benchmark: 1220.8288, usercpu_time_millis: 342.082, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 339.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9654, kappa: 0.8657, kb_relative_information_score: 5193.4009, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9659, prior_entropy: 0.6204, recall: 0.9659, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.165, root_relative_squared_error: 0.457, scimark_benchmark: 1216.8337, usercpu_time_millis: 695.94, usercpu_time_millis_testing: 8.197, usercpu_time_millis_training: 687.743,
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: 1210.9368, usercpu_time_millis: 285.721, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 284.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6541.6838, 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: 0.0085, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0908, scimark_benchmark: 1230.6724, usercpu_time_millis: 273.607, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 272.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6535.6298, 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: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.066, scimark_benchmark: 1252.0238, usercpu_time_millis: 437.639, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 434.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9486, kappa: 0.7991, kb_relative_information_score: 4696.1765, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9484, predictive_accuracy: 0.9497, prior_entropy: 0.6204, recall: 0.9497, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.543, scimark_benchmark: 1219.8528, usercpu_time_millis: 587.611, usercpu_time_millis_testing: 7.929, usercpu_time_millis_training: 579.682,
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: 1192.8916, usercpu_time_millis: 246.209, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 245.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9706, kappa: 0.8858, kb_relative_information_score: 5475.1855, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9706, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4102, scimark_benchmark: 1209.6829, usercpu_time_millis: 570.544, usercpu_time_millis_testing: 4.585, usercpu_time_millis_training: 565.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9773, kappa: 0.9118, kb_relative_information_score: 5791.9946, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9773, predictive_accuracy: 0.9776, prior_entropy: 0.6204, recall: 0.9776, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3492, scimark_benchmark: 1204.259, usercpu_time_millis: 578.43, usercpu_time_millis_testing: 4.903, usercpu_time_millis_training: 573.527,
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: 1228.8733, usercpu_time_millis: 305.202, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 304.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9818, kappa: 0.9295, kb_relative_information_score: 6017.0354, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.6204, recall: 0.982, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2941, scimark_benchmark: 1202.282, usercpu_time_millis: 495.227, usercpu_time_millis_testing: 3.027, usercpu_time_millis_training: 492.2,
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: 1200.933, usercpu_time_millis: 252.118, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 251.503,
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: 1210.5936, usercpu_time_millis: 260.128, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 259.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9617, kappa: 0.8504, kb_relative_information_score: 5146.2687, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.6204, recall: 0.9624, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4639, scimark_benchmark: 1207.0778, usercpu_time_millis: 565.261, usercpu_time_millis_testing: 5.062, usercpu_time_millis_training: 560.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9636, kappa: 0.8583, kb_relative_information_score: 5162.7836, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1221.6234, usercpu_time_millis: 639.247, usercpu_time_millis_testing: 6.585, usercpu_time_millis_training: 632.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9485, kappa: 0.7989, kb_relative_information_score: 4699.5896, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9482, predictive_accuracy: 0.9495, prior_entropy: 0.6204, recall: 0.9495, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1225.5665, usercpu_time_millis: 604.155, usercpu_time_millis_testing: 7.065, usercpu_time_millis_training: 597.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9366, kappa: 0.7513, kb_relative_information_score: 4143.3643, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9361, predictive_accuracy: 0.9382, prior_entropy: 0.6204, recall: 0.9382, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.5999, scimark_benchmark: 1214.1311, usercpu_time_millis: 735.976, usercpu_time_millis_testing: 6.631, usercpu_time_millis_training: 729.345,
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: 1250.1703, usercpu_time_millis: 317.414, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 316.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9632, kappa: 0.857, kb_relative_information_score: 5150.7721, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4645, scimark_benchmark: 1222.7853, usercpu_time_millis: 675.435, usercpu_time_millis_testing: 7.884, usercpu_time_millis_training: 667.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.5556, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1229.6722, usercpu_time_millis: 620.288, usercpu_time_millis_testing: 6.111, usercpu_time_millis_training: 614.177,
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: 1242.8529, usercpu_time_millis: 272.862, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 272.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6501.477, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1164, scimark_benchmark: 1231.14, usercpu_time_millis: 265.233, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 263.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9513, kappa: 0.8094, kb_relative_information_score: 4802.9422, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9512, predictive_accuracy: 0.9524, prior_entropy: 0.6204, recall: 0.9524, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5197, scimark_benchmark: 1247.2164, usercpu_time_millis: 737.74, usercpu_time_millis_testing: 8.385, usercpu_time_millis_training: 729.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9701, kappa: 0.8837, kb_relative_information_score: 5506.5779, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9706, prior_entropy: 0.6204, recall: 0.9706, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4092, scimark_benchmark: 1234.5062, usercpu_time_millis: 705.031, usercpu_time_millis_testing: 7.316, usercpu_time_millis_training: 697.715,

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