OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7513, kappa: 0.4983, kb_relative_information_score: 1086.674, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 2008.1444, usercpu_time_millis: 144.557, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 143.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7531, kappa: 0.5019, kb_relative_information_score: 1284.3714, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1729.3292, usercpu_time_millis: 219.683, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 218.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7971, kappa: 0.5906, kb_relative_information_score: 1412.6504, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7976, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1717.7351, usercpu_time_millis: 397.344, usercpu_time_millis_testing: 2.08, usercpu_time_millis_training: 395.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7708, kappa: 0.5375, kb_relative_information_score: 1247.099, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8118, scimark_benchmark: 1717.7351, usercpu_time_millis: 424.613, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 422.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7631, kappa: 0.5219, kb_relative_information_score: 1159.4866, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1850.2875, usercpu_time_millis: 672.197, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 670.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1557.9987, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 2138.4129, usercpu_time_millis: 695.647, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 691.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7397, kappa: 0.4756, kb_relative_information_score: 744.8037, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7397, predictive_accuracy: 0.7398, prior_entropy: 0.9948, recall: 0.7398, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 2147.2397, usercpu_time_millis: 49.599, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 48.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8082, kappa: 0.613, kb_relative_information_score: 1653.5005, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1822.0693, usercpu_time_millis: 3280.288, usercpu_time_millis_testing: 3.533, usercpu_time_millis_training: 3276.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7913, kappa: 0.5791, kb_relative_information_score: 1530.5561, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.777, scimark_benchmark: 1446.1583, usercpu_time_millis: 3187.12, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 3186.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1628.9337, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7514, scimark_benchmark: 1495.9141, usercpu_time_millis: 3868.31, usercpu_time_millis_testing: 3.89, usercpu_time_millis_training: 3864.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7997, kappa: 0.596, kb_relative_information_score: 1316.2831, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7878, scimark_benchmark: 1511.3204, usercpu_time_millis: 1001.22, usercpu_time_millis_testing: 4.05, usercpu_time_millis_training: 997.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7771, kappa: 0.5503, kb_relative_information_score: 1397.7607, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1502.6082, usercpu_time_millis: 7165.71, usercpu_time_millis_testing: 3.02, usercpu_time_millis_training: 7162.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1634.536, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7506, scimark_benchmark: 1444.6276, usercpu_time_millis: 1353.2, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 1351.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7843, kappa: 0.565, kb_relative_information_score: 1367.8512, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 1479.8532, usercpu_time_millis: 2093.85, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 2091.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.4007, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1443.7226, usercpu_time_millis: 4.44, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 3.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8092, kappa: 0.6153, kb_relative_information_score: 1487.3707, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1536.4581, usercpu_time_millis: 485.09, usercpu_time_millis_testing: 5.66, usercpu_time_millis_training: 479.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7527, kappa: 0.5012, kb_relative_information_score: 1250.8631, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8318, scimark_benchmark: 1492.3632, usercpu_time_millis: 11.58, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 10.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1614.3878, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634, scimark_benchmark: 1404.2588, usercpu_time_millis: 13456.97, usercpu_time_millis_testing: 4.8, usercpu_time_millis_training: 13452.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7465, kappa: 0.4884, kb_relative_information_score: 710.5034, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8828, scimark_benchmark: 1595.4742, usercpu_time_millis: 71.5, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 70.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7981, kappa: 0.5927, kb_relative_information_score: 1580.5102, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1847.8629, usercpu_time_millis: 917.082, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 915.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1488.3461, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 1846.2342, usercpu_time_millis: 1406.781, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 1405.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7903, kappa: 0.5771, kb_relative_information_score: 1474.2212, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7813, scimark_benchmark: 2133.8994, usercpu_time_millis: 1697.113, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 1695.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1511.7897, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1846.3057, usercpu_time_millis: 3266.184, usercpu_time_millis_testing: 3.024, usercpu_time_millis_training: 3263.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7885, kappa: 0.5734, kb_relative_information_score: 1365.3219, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.789, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7878, scimark_benchmark: 1849.8294, usercpu_time_millis: 143.447, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 141.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 1328.0928, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041, scimark_benchmark: 1737.7605, usercpu_time_millis: 171.092, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 170.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1420.1809, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1857.1082, usercpu_time_millis: 179.677, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 177.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 978.1237, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1855.0232, usercpu_time_millis: 188.49, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 187.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1525.7707, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1711.7149, usercpu_time_millis: 197.125, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 196.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.8774, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1853.454, usercpu_time_millis: 216.102, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 215.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7978, kappa: 0.5922, kb_relative_information_score: 1309.6968, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1739.5413, usercpu_time_millis: 279.198, usercpu_time_millis_testing: 4.12, usercpu_time_millis_training: 275.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 936.8597, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8781, scimark_benchmark: 1854.4431, usercpu_time_millis: 336.762, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 335.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1171.6635, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1853.9121, usercpu_time_millis: 586.264, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 584.515,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8096, kappa: 0.6159, kb_relative_information_score: 1704.3183, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1848.388, usercpu_time_millis: 1825.853, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 1823.522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 1543.1462, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7667, scimark_benchmark: 1724.9287, usercpu_time_millis: 2388.3, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 2385.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8039, kappa: 0.6046, kb_relative_information_score: 1641.0412, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7602, scimark_benchmark: 1733.8252, usercpu_time_millis: 2889.593, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 2888.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1712.5735, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.748, scimark_benchmark: 1763.0035, usercpu_time_millis: 3423.069, usercpu_time_millis_testing: 2.616, usercpu_time_millis_training: 3420.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1414.618, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1452.5085, usercpu_time_millis: 3159.78, usercpu_time_millis_testing: 2.27, usercpu_time_millis_training: 3157.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 874.0222, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8764, scimark_benchmark: 1492.5381, usercpu_time_millis: 439.05, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 437.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1374.0224, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1474.0572, usercpu_time_millis: 1503.8, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 1502.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 1229.8047, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8092, scimark_benchmark: 1487.3217, usercpu_time_millis: 499.25, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 497.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7992, kappa: 0.5949, kb_relative_information_score: 1490.1279, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7997, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7723, scimark_benchmark: 1514.8641, usercpu_time_millis: 435.13, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 434.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7624, kappa: 0.5205, kb_relative_information_score: 1126.2917, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8263, scimark_benchmark: 1498.8238, usercpu_time_millis: 680.52, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 678.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7475, kappa: 0.4905, kb_relative_information_score: 519.0328, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7494, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9107, scimark_benchmark: 1482.7098, usercpu_time_millis: 33.93, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 33.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8014, kappa: 0.5993, kb_relative_information_score: 1606.7685, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1852.3877, usercpu_time_millis: 4216.091, usercpu_time_millis_testing: 2.858, usercpu_time_millis_training: 4213.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1057, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.9033, usercpu_time_millis: 7.868, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 6.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7325, kappa: 0.461, kb_relative_information_score: 394.3597, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9305, scimark_benchmark: 1765.6748, usercpu_time_millis: 8.532, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 7.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1184.5491, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8142, scimark_benchmark: 1849.8294, usercpu_time_millis: 261.434, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 259.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7786, kappa: 0.5534, kb_relative_information_score: 1214.4174, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8081, scimark_benchmark: 1832.6993, usercpu_time_millis: 286.558, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 284.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1610.6755, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7585, scimark_benchmark: 2106.4871, usercpu_time_millis: 516.32, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 515.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0449, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1735.3758, usercpu_time_millis: 8.252, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 7.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0037, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 9.045, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 7.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7368, kappa: 0.4714, kb_relative_information_score: 1034.8444, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8652, scimark_benchmark: 1759.111, usercpu_time_millis: 106.697, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 105.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1686.3051, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1088.6031, usercpu_time_millis: 17957.971, usercpu_time_millis_testing: 6.144, usercpu_time_millis_training: 17951.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 1723.2389, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7466, scimark_benchmark: 1803.584, usercpu_time_millis: 768.655, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 766.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1408.0019, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992, scimark_benchmark: 1850.8185, usercpu_time_millis: 1533.891, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 1532.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1264.3248, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1853.9121, usercpu_time_millis: 1548.339, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 1546.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0506, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 8.55, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 7.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1068, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.4799, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 4.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7371, kappa: 0.4711, kb_relative_information_score: 940.0552, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8593, scimark_benchmark: 1059.796, usercpu_time_millis: 61.364, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 60.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7784, kappa: 0.5531, kb_relative_information_score: 1091.5782, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 2065.6279, usercpu_time_millis: 101.962, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 99.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.795, kappa: 0.5864, kb_relative_information_score: 1459.1815, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7954, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1828.7078, usercpu_time_millis: 269.398, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 267.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.5532, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 4.734, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7477, kappa: 0.491, kb_relative_information_score: 446.8259, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9221, scimark_benchmark: 1797.6782, usercpu_time_millis: 33.587, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 32.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.4469, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8713, scimark_benchmark: 1827.2985, usercpu_time_millis: 316.372, usercpu_time_millis_testing: 1.655, usercpu_time_millis_training: 314.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7769, kappa: 0.55, kb_relative_information_score: 1342.0422, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1843.657, usercpu_time_millis: 418.8, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 417.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7999, kappa: 0.5965, kb_relative_information_score: 1579.0886, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1820.0005, usercpu_time_millis: 2605.105, usercpu_time_millis_testing: 2.377, usercpu_time_millis_training: 2602.728,

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