Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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38804 Runs

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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: 0.8105, f_measure: 0.7361, kappa: 0.4723, kb_relative_information_score: 728.9613, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7362, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8483,
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: 0.6415, 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: 0.5932, f_measure: 0.5961, kappa: 0.1923, kb_relative_information_score: 246.7008, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5962, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089,
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: 0.5693, 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: 0.7268, 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: 0.9436, 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: 0.5906, 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: 0.7999, 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: 0.5715, 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: 0.6484, 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: 0.7275, 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: 0.9031, 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: 0.5, 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: 0.9438, 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: 0.5, 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: 0.5802, 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: 0.6974, 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: 0.6437, 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: 0.6208, 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: 0.6431, 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: 0.7265, f_measure: 0.6623, kappa: 0.3246, kb_relative_information_score: 237.9949, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6623, predictive_accuracy: 0.6623, prior_entropy: 1, recall: 0.6623, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.943,
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: 0.6416, 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: 0.615, 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: 0.6974, 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: 0.6041, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.816, kappa: 0.6323, kb_relative_information_score: 887.3426, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.817, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798, scimark_benchmark: 1715.0329, usercpu_time_millis: 905.395, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 903.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8554, kappa: 0.7108, kb_relative_information_score: 1154.6878, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8556, predictive_accuracy: 0.8554, prior_entropy: 1, recall: 0.8554, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7039, scimark_benchmark: 1756.4377, usercpu_time_millis: 771.667, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 769.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 983.9381, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8321, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.751, scimark_benchmark: 1733.7032, usercpu_time_millis: 755.131, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 753.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7934, kappa: 0.5869, kb_relative_information_score: 801.1723, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.794, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8046, scimark_benchmark: 1737.3827, usercpu_time_millis: 649.12, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 647.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8033, kappa: 0.6069, kb_relative_information_score: 800.4303, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8047, predictive_accuracy: 0.8035, prior_entropy: 1, recall: 0.8035, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8011, scimark_benchmark: 1735.1328, usercpu_time_millis: 608.417, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 607.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7613, kappa: 0.5246, kb_relative_information_score: 666.3298, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7669, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8378, scimark_benchmark: 1738.5126, usercpu_time_millis: 418.825, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 417.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.6734, kappa: 0.3546, kb_relative_information_score: 525.365, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6861, predictive_accuracy: 0.6773, prior_entropy: 1, recall: 0.6773, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8901, scimark_benchmark: 1730.9689, usercpu_time_millis: 276.594, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 275.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7993, kappa: 0.5992, kb_relative_information_score: 824.1447, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8014, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7977, scimark_benchmark: 1753.2431, usercpu_time_millis: 252.387, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 251.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8515, kappa: 0.7031, kb_relative_information_score: 1002.9251, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8519, predictive_accuracy: 0.8515, prior_entropy: 1, recall: 0.8515, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7353, scimark_benchmark: 1749.6683, usercpu_time_millis: 246.081, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 244.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7528, kappa: 0.5085, kb_relative_information_score: 583.4006, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7602, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 1754.5536, usercpu_time_millis: 202.118, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 200.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7608, kappa: 0.5238, kb_relative_information_score: 624.5468, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7671, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8442, scimark_benchmark: 1732.8391, usercpu_time_millis: 181.79, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 180.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8527, kappa: 0.7054, kb_relative_information_score: 1091.1845, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.853, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.359, root_relative_squared_error: 0.718, scimark_benchmark: 1762.3193, usercpu_time_millis: 136.595, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 135.893,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7052, kappa: 0.4138, kb_relative_information_score: 392.7763, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7117, predictive_accuracy: 0.7069, prior_entropy: 1, recall: 0.7069, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9053, scimark_benchmark: 1727.5664, usercpu_time_millis: 149.712, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 148.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.6792, kappa: 0.3623, kb_relative_information_score: 338.3082, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6857, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9213, scimark_benchmark: 1712.8643, usercpu_time_millis: 78.773, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 77.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7647, kappa: 0.5308, kb_relative_information_score: 717.8161, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7683, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8291, scimark_benchmark: 1715.967, usercpu_time_millis: 64.297, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 63.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6183, kappa: 0.2369, kb_relative_information_score: 252.6373, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6186, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9495, scimark_benchmark: 1747.9062, usercpu_time_millis: 54.969, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 54.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 83.6198, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.622, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 1741.9114, usercpu_time_millis: 21.704, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 20.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7002, kappa: 0.4046, kb_relative_information_score: 372.5837, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7081, predictive_accuracy: 0.7023, prior_entropy: 1, recall: 0.7023, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9107, scimark_benchmark: 1718.7035, usercpu_time_millis: 21.343, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 20.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7124, kappa: 0.4254, kb_relative_information_score: 610.5538, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7136, predictive_accuracy: 0.7127, prior_entropy: 1, recall: 0.7127, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8698, scimark_benchmark: 1747.5638, usercpu_time_millis: 19.124, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 18.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6087, kappa: 0.2177, kb_relative_information_score: 168.1006, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6091, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9647, scimark_benchmark: 1728.7561, usercpu_time_millis: 17.508, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 16.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.616, kappa: 0.2323, kb_relative_information_score: 187.5256, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6163, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9663, scimark_benchmark: 1712.9176, usercpu_time_millis: 19.6, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 19.188,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6183, kappa: 0.2369, kb_relative_information_score: 201.8696, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6186, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9543, scimark_benchmark: 1720.854, usercpu_time_millis: 8.351, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 7.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6115, kappa: 0.2231, kb_relative_information_score: 193.8289, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6116, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9611, scimark_benchmark: 1735.4976, usercpu_time_millis: 2.748, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, 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, scimark_benchmark: 1717.1672, usercpu_time_millis: 3.144, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, 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, scimark_benchmark: 1721.8025, usercpu_time_millis: 4.097, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 3.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, 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, scimark_benchmark: 1728.0216, usercpu_time_millis: 2.503, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, 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, scimark_benchmark: 1731.6495, usercpu_time_millis: 2.759, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8265, kappa: 0.6531, kb_relative_information_score: 987.7776, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.827, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7539, scimark_benchmark: 1735.1328, usercpu_time_millis: 1677.068, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 1674.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.823, kappa: 0.6462, kb_relative_information_score: 856.9983, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8238, predictive_accuracy: 0.8231, prior_entropy: 1, recall: 0.8231, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7824, scimark_benchmark: 1740.0009, usercpu_time_millis: 607.296, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 605.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 1017.3582, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7386, scimark_benchmark: 1727.0501, usercpu_time_millis: 436.874, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 435.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7351, kappa: 0.4731, kb_relative_information_score: 588.2979, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7416, predictive_accuracy: 0.7365, prior_entropy: 1, recall: 0.7365, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8655, scimark_benchmark: 1756.6757, usercpu_time_millis: 365.658, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 364.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 963.7519, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8443, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7487, scimark_benchmark: 1754.2164, usercpu_time_millis: 347.975, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 346.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.761, kappa: 0.5238, kb_relative_information_score: 693.5429, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834, scimark_benchmark: 1756.1988, usercpu_time_millis: 332.506, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 331.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8137, kappa: 0.6277, kb_relative_information_score: 1125.9304, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8148, predictive_accuracy: 0.8138, prior_entropy: 1, recall: 0.8138, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7412, scimark_benchmark: 1754.7248, usercpu_time_millis: 275.681, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 275.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8303, kappa: 0.6608, kb_relative_information_score: 856.0998, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8311, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7783, scimark_benchmark: 1756.1988, usercpu_time_millis: 193.498, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 192.691,

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