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Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 1.0016, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9981, scimark_benchmark: 1269.1822, usercpu_time_millis: 8.025, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 7.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6088, kappa: 0.1361, kb_relative_information_score: 82.0956, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7258, predictive_accuracy: 0.6938, prior_entropy: 0.9226, recall: 0.6938, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.957, scimark_benchmark: 1277.9142, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 5.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8141, kappa: 0.5779, kb_relative_information_score: 499.1301, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8147, predictive_accuracy: 0.818, prior_entropy: 0.9226, recall: 0.818, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7464, scimark_benchmark: 1302.388, usercpu_time_millis: 6.809, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 6.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8783, kappa: 0.7253, kb_relative_information_score: 650.7642, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8784, predictive_accuracy: 0.8796, prior_entropy: 0.9226, recall: 0.8796, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6335, scimark_benchmark: 1279.2091, usercpu_time_millis: 4.766, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6028, kappa: 0.1239, kb_relative_information_score: 123.4118, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7153, predictive_accuracy: 0.69, prior_entropy: 0.9226, recall: 0.69, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9307, scimark_benchmark: 1272.2575, usercpu_time_millis: 4.577, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8389, kappa: 0.6364, kb_relative_information_score: 546.0853, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8386, predictive_accuracy: 0.8408, prior_entropy: 0.9226, recall: 0.8408, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7015, scimark_benchmark: 1280.3944, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 3.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7149, kappa: 0.3478, kb_relative_information_score: 262.7726, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7627, predictive_accuracy: 0.7498, prior_entropy: 0.9226, recall: 0.7498, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8556, scimark_benchmark: 1274.6822, usercpu_time_millis: 4.725, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.817, kappa: 0.5869, kb_relative_information_score: 520.8922, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8163, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7201, scimark_benchmark: 1300.7875, usercpu_time_millis: 4.061, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8096, kappa: 0.5635, kb_relative_information_score: 447.4829, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8202, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7463, scimark_benchmark: 1301.4072, usercpu_time_millis: 5.815, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8527, kappa: 0.6667, kb_relative_information_score: 520.827, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8531, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.7136, scimark_benchmark: 1305.8375, usercpu_time_millis: 4.098, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8661, kappa: 0.6982, kb_relative_information_score: 596.1905, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8659, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6627, scimark_benchmark: 1307.6896, usercpu_time_millis: 3.24, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 3.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 582.961, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6655, scimark_benchmark: 1274.6753, usercpu_time_millis: 6.207, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 6.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.5888, kappa: 0.1003, kb_relative_information_score: 70.8816, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.721, predictive_accuracy: 0.6853, prior_entropy: 0.9226, recall: 0.6853, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9664, scimark_benchmark: 1265.1322, usercpu_time_millis: 9.778, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 9.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5993, kappa: 0.1193, kb_relative_information_score: 85.1517, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7264, predictive_accuracy: 0.69, prior_entropy: 0.9226, recall: 0.69, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9602, scimark_benchmark: 1303.059, usercpu_time_millis: 9.477, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 9.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 569.4586, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6707, scimark_benchmark: 1304.7023, usercpu_time_millis: 63.847, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 63.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 571.6862, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6706, scimark_benchmark: 1304.2453, usercpu_time_millis: 35.966, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 35.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.5429, kappa: 0.0201, kb_relative_information_score: 31.8076, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6489, predictive_accuracy: 0.6654, prior_entropy: 0.9226, recall: 0.6654, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9833, scimark_benchmark: 1290.8749, usercpu_time_millis: 5.366, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 578.34, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6668, scimark_benchmark: 1281.899, usercpu_time_millis: 6.725, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 6.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8356, kappa: 0.6298, kb_relative_information_score: 534.8947, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8351, predictive_accuracy: 0.837, prior_entropy: 0.9226, recall: 0.837, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7103, scimark_benchmark: 1305.9142, usercpu_time_millis: 4.017, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8738, kappa: 0.7155, kb_relative_information_score: 590.5764, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8736, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6618, scimark_benchmark: 1302.6982, usercpu_time_millis: 3.876, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8612, kappa: 0.6856, kb_relative_information_score: 603.779, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6633, scimark_benchmark: 1266.2814, usercpu_time_millis: 6.653, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 6.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5894, kappa: 0.1022, kb_relative_information_score: 55.0498, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7281, predictive_accuracy: 0.6863, prior_entropy: 0.9226, recall: 0.6863, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9725, scimark_benchmark: 1273.2182, usercpu_time_millis: 5.741, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 5.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8469, kappa: 0.6546, kb_relative_information_score: 559.0352, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8465, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.701, scimark_benchmark: 1274.9675, usercpu_time_millis: 6.071, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 5.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8122, kappa: 0.5735, kb_relative_information_score: 497.9463, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8127, predictive_accuracy: 0.8161, prior_entropy: 0.9226, recall: 0.8161, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7468, scimark_benchmark: 1296.9908, usercpu_time_millis: 6.698, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 6.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6502, kappa: 0.2154, kb_relative_information_score: 140.8451, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7451, predictive_accuracy: 0.7147, prior_entropy: 0.9226, recall: 0.7147, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9324, scimark_benchmark: 1307.5163, usercpu_time_millis: 9.07, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 8.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.3404, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6695, scimark_benchmark: 1306.5682, usercpu_time_millis: 17.762, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 17.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 573.1112, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6689, scimark_benchmark: 1289.4692, usercpu_time_millis: 13.872, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 13.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8741, kappa: 0.7167, kb_relative_information_score: 583.3952, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8738, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.664, scimark_benchmark: 1313.1892, usercpu_time_millis: 4.797, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 4.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8373, kappa: 0.6331, kb_relative_information_score: 538.1763, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8368, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7065, scimark_benchmark: 1280.5824, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8152, kappa: 0.5765, kb_relative_information_score: 384.5914, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8247, predictive_accuracy: 0.8237, prior_entropy: 0.9226, recall: 0.8237, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7812, scimark_benchmark: 1282.6147, usercpu_time_millis: 4.612, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 4.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.876, kappa: 0.721, kb_relative_information_score: 582.2496, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8757, predictive_accuracy: 0.8768, prior_entropy: 0.9226, recall: 0.8768, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6549, scimark_benchmark: 1313.8273, usercpu_time_millis: 5.063, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.5895, kappa: 0.0977, kb_relative_information_score: 119.572, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.695, predictive_accuracy: 0.6825, prior_entropy: 0.9226, recall: 0.6825, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9317, scimark_benchmark: 1275.2918, usercpu_time_millis: 4.751, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.5486, kappa: 0.0291, kb_relative_information_score: 28.3065, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6607, predictive_accuracy: 0.6673, prior_entropy: 0.9226, recall: 0.6673, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9872, scimark_benchmark: 1287.8504, usercpu_time_millis: 5.747, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 579.0091, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6684, scimark_benchmark: 1311.0711, usercpu_time_millis: 10.643, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 10.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6829, kappa: 0.2821, kb_relative_information_score: 220.2899, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7625, predictive_accuracy: 0.7336, prior_entropy: 0.9226, recall: 0.7336, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8755, scimark_benchmark: 1310.5895, usercpu_time_millis: 4.976, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5958, kappa: 0.1008, kb_relative_information_score: 46.1166, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6602, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9841, scimark_benchmark: 1376.8332, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1316.4096, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7628, kappa: 0.4738, kb_relative_information_score: 285.4705, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7652, predictive_accuracy: 0.7611, prior_entropy: 0.9226, recall: 0.7611, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8775, scimark_benchmark: 1339.7686, usercpu_time_millis: 0.457, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1375.7357, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1350.3493, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1359.789, usercpu_time_millis: 1.16, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1356.7089, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1351.4213, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1357.3185, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1357.3662, usercpu_time_millis: 1.101, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1330.6041, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1356.297, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1331.0295, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7432, kappa: 0.4419, kb_relative_information_score: 244.6338, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7545, predictive_accuracy: 0.7384, prior_entropy: 0.9226, recall: 0.7384, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8922, scimark_benchmark: 1320.2238, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1323.492, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5958, kappa: 0.1008, kb_relative_information_score: 46.1166, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6602, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9841, scimark_benchmark: 1359.8035, usercpu_time_millis: 0.482, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1326.9918, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1342.818, usercpu_time_millis: 0.446, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1361.2378, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1334.5453, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1331.0935, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.8077, kappa: 0.5665, kb_relative_information_score: 440.7764, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.8119, scimark_benchmark: 1338.6191, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7429, kappa: 0.4453, kb_relative_information_score: 240.8798, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.892, scimark_benchmark: 1333.2086, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1381.7541, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 568.3474, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6719, scimark_benchmark: 1272.2628, usercpu_time_millis: 359.1, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 359.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.5995, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6693, scimark_benchmark: 1278.3951, usercpu_time_millis: 15.801, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 15.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.3296, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.671, scimark_benchmark: 1294.2492, usercpu_time_millis: 147.898, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 147.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 572.7925, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.671, scimark_benchmark: 1312.4145, usercpu_time_millis: 204.731, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 204.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.569, kappa: 0.063, kb_relative_information_score: 71.9238, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6859, predictive_accuracy: 0.6749, prior_entropy: 0.9226, recall: 0.6749, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9565, scimark_benchmark: 1282.0478, usercpu_time_millis: 4.522, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.6328, kappa: 0.181, kb_relative_information_score: 173.7187, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7349, predictive_accuracy: 0.7052, prior_entropy: 0.9226, recall: 0.7052, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9022, scimark_benchmark: 1306.842, usercpu_time_millis: 4.524, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.7461, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6694, scimark_benchmark: 1288.0319, usercpu_time_millis: 13.94, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 13.871,

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