OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54817 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8211, kappa: 0.6423, kb_relative_information_score: 925.2797, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7688, scimark_benchmark: 1857.1082, usercpu_time_millis: 389.41, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 388.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 861.9821, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.828, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1733.7613, usercpu_time_millis: 407.599, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 406.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1023.338, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7392, scimark_benchmark: 1728.4686, usercpu_time_millis: 542.894, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 541.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8665, kappa: 0.7331, kb_relative_information_score: 1291.7346, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8666, predictive_accuracy: 0.8665, prior_entropy: 1, recall: 0.8665, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6677, scimark_benchmark: 1733.3606, usercpu_time_millis: 614.501, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 613.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8508, kappa: 0.7015, kb_relative_information_score: 1229.7324, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8509, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6893, scimark_benchmark: 1736.9559, usercpu_time_millis: 615.004, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 613.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7388, kappa: 0.4815, kb_relative_information_score: 589.1183, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7484, predictive_accuracy: 0.7408, prior_entropy: 1, recall: 0.7408, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8603, scimark_benchmark: 1858.0974, usercpu_time_millis: 640.354, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 638.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8434, kappa: 0.6869, kb_relative_information_score: 1123.986, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.844, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7199, scimark_benchmark: 1735.1328, usercpu_time_millis: 659.69, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 658.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8222, kappa: 0.6446, kb_relative_information_score: 925.7352, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.823, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7674, scimark_benchmark: 1736.5552, usercpu_time_millis: 677.385, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 676.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8148, kappa: 0.63, kb_relative_information_score: 817.3887, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8161, predictive_accuracy: 0.815, prior_entropy: 1, recall: 0.815, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, scimark_benchmark: 1857.5664, usercpu_time_millis: 704.667, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 702.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8542, kappa: 0.7085, kb_relative_information_score: 1070.598, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8545, predictive_accuracy: 0.8542, prior_entropy: 1, recall: 0.8542, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7187, scimark_benchmark: 1731.9625, usercpu_time_millis: 813.641, usercpu_time_millis_testing: 3.199, usercpu_time_millis_training: 810.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 1129.7607, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8353, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.721, scimark_benchmark: 1730.591, usercpu_time_millis: 1337.034, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 1335.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7202, kappa: 0.4438, kb_relative_information_score: 438.8256, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7276, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8937, scimark_benchmark: 1738.3274, usercpu_time_millis: 41.17, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 40.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7171, kappa: 0.4377, kb_relative_information_score: 448.1623, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7245, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8935, scimark_benchmark: 1855.4813, usercpu_time_millis: 102.309, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 101.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 1313.5501, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6809, scimark_benchmark: 1704.1804, usercpu_time_millis: 3235.092, usercpu_time_millis_testing: 4.465, usercpu_time_millis_training: 3230.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.615, kappa: 0.23, kb_relative_information_score: 598, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.615, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.5554, kappa: 0.1115, kb_relative_information_score: 305.6189, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.556, predictive_accuracy: 0.5558, prior_entropy: 1, recall: 0.5558, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.5524, kappa: 0.1069, kb_relative_information_score: 213.9162, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.554, predictive_accuracy: 0.5535, prior_entropy: 1, recall: 0.5535, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5696, kappa: 0.1462, kb_relative_information_score: 223.3402, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5755, predictive_accuracy: 0.5731, prior_entropy: 1, recall: 0.5731, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7276, kappa: 0.4554, kb_relative_information_score: 1127.2994, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7281, predictive_accuracy: 0.7277, prior_entropy: 1, recall: 0.7277, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8758, kappa: 0.7515, kb_relative_information_score: 1894.7373, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8758, predictive_accuracy: 0.8758, prior_entropy: 1, recall: 0.8758, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6686, kappa: 0.3377, kb_relative_information_score: 508.3559, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6694, predictive_accuracy: 0.6688, prior_entropy: 1, recall: 0.6688, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 914.7315, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7339, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6927, kappa: 0.3854, kb_relative_information_score: 1001.7658, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6927, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.6208, kappa: 0.2415, kb_relative_information_score: 628, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6208, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6158, root_relative_squared_error: 1.2316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.5987, kappa: 0.1977, kb_relative_information_score: 466.1568, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.599, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.0888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8881, kappa: 0.7762, kb_relative_information_score: 1804.1318, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8881, predictive_accuracy: 0.8881, prior_entropy: 1, recall: 0.8881, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8323, kappa: 0.6646, kb_relative_information_score: 1044.2782, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8324, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.7672, kappa: 0.5346, kb_relative_information_score: 1390, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.768, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9648, usercpu_time_millis: 5.64, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 5.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.565, kappa: 0.13, kb_relative_information_score: 254.8981, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.565, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.6714, kappa: 0.3431, kb_relative_information_score: 867.0444, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6718, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6149, kappa: 0.2315, kb_relative_information_score: 467.1357, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6169, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5698, kappa: 0.1446, kb_relative_information_score: 237.3144, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.574, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5984, kappa: 0.1969, kb_relative_information_score: 437.18, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1118.7362, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7844, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.5972, kappa: 0.1946, kb_relative_information_score: 465.8306, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5974, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.6, kappa: 0.2015, kb_relative_information_score: 401.074, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6927, kappa: 0.3854, kb_relative_information_score: 1001.7658, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6927, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.5964, kappa: 0.1931, kb_relative_information_score: 437.8825, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.5681, kappa: 0.1362, kb_relative_information_score: 362.6619, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5681, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7503, kappa: 0.5031, kb_relative_information_score: 491.2192, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7568, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8735, scimark_benchmark: 1851.3688, usercpu_time_millis: 111.752, usercpu_time_millis_testing: 2.317, usercpu_time_millis_training: 109.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.6579, kappa: 0.3262, kb_relative_information_score: 332.3284, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6736, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9304, scimark_benchmark: 1851.9456, usercpu_time_millis: 66.522, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 65.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.776, kappa: 0.5523, kb_relative_information_score: 758.8258, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7771, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8179, scimark_benchmark: 1824.559, usercpu_time_millis: 89.974, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 89.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7043, kappa: 0.4123, kb_relative_information_score: 411.2329, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7116, predictive_accuracy: 0.7062, prior_entropy: 1, recall: 0.7062, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9051, scimark_benchmark: 1849.408, usercpu_time_millis: 77.974, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 76.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7574, kappa: 0.5169, kb_relative_information_score: 592.6566, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7633, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8547, scimark_benchmark: 1832.5979, usercpu_time_millis: 75.75, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 75.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7412, kappa: 0.4846, kb_relative_information_score: 607.051, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7466, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8565, scimark_benchmark: 1856.6531, usercpu_time_millis: 75.942, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 75.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8055, kappa: 0.6115, kb_relative_information_score: 753.7553, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8073, predictive_accuracy: 0.8058, prior_entropy: 1, recall: 0.8058, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8075, scimark_benchmark: 1820.877, usercpu_time_millis: 80.978, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 80.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7824, kappa: 0.5654, kb_relative_information_score: 738.3258, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7844, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819, scimark_benchmark: 1821.2922, usercpu_time_millis: 81.938, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 81.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6648, kappa: 0.3385, kb_relative_information_score: 355.4232, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6788, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9281, scimark_benchmark: 1847.8718, usercpu_time_millis: 123.278, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 122.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7848, kappa: 0.5708, kb_relative_information_score: 683.9297, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7884, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.826, scimark_benchmark: 1848.8462, usercpu_time_millis: 114.771, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 113.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6611, kappa: 0.33, kb_relative_information_score: 326.4547, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.673, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.927, scimark_benchmark: 1843.3864, usercpu_time_millis: 89.882, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 89.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7671, kappa: 0.5362, kb_relative_information_score: 543.7151, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7726, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8585, scimark_benchmark: 1857.184, usercpu_time_millis: 99.492, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 97.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8288, kappa: 0.6577, kb_relative_information_score: 928.5157, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.76, scimark_benchmark: 1853.9121, usercpu_time_millis: 106.229, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 105.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7568, kappa: 0.5138, kb_relative_information_score: 749.4778, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8249, scimark_benchmark: 1856.6531, usercpu_time_millis: 144.811, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 144.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.6917, kappa: 0.3885, kb_relative_information_score: 424.4634, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7009, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1842.6679, usercpu_time_millis: 125.435, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 124.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7487, kappa: 0.5, kb_relative_information_score: 552.7015, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7555, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631, scimark_benchmark: 1855.1417, usercpu_time_millis: 179.535, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 177.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8323, kappa: 0.6646, kb_relative_information_score: 1280.6379, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8326, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7051, scimark_benchmark: 1824.0753, usercpu_time_millis: 176.407, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 176.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 940.8783, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1813.9274, usercpu_time_millis: 169.576, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 168.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7345, kappa: 0.4708, kb_relative_information_score: 628.2609, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7384, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8555, scimark_benchmark: 1856.125, usercpu_time_millis: 145.331, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 144.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7589, kappa: 0.52, kb_relative_information_score: 637.3805, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8413, scimark_benchmark: 1782.2807, usercpu_time_millis: 162.99, usercpu_time_millis_testing: 1.561, usercpu_time_millis_training: 161.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7532, kappa: 0.5085, kb_relative_information_score: 649.4116, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7584, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.842, scimark_benchmark: 1819.4884, usercpu_time_millis: 182.578, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 181.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6654, kappa: 0.3377, kb_relative_information_score: 424.7921, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6761, predictive_accuracy: 0.6688, prior_entropy: 1, recall: 0.6688, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9213, scimark_benchmark: 1912.1808, usercpu_time_millis: 198.695, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 197.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7279, kappa: 0.4562, kb_relative_information_score: 687.04, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7288, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.423, root_relative_squared_error: 0.846, scimark_benchmark: 1769.1945, usercpu_time_millis: 217.399, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 216.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7841, kappa: 0.5685, kb_relative_information_score: 1173.578, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.785, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7716, scimark_benchmark: 1716.1001, usercpu_time_millis: 221.923, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 221.496,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs