Task
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13432 runs submitted
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  • OpenML100 study_123 study_14 study_7
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13432 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7536, kappa: 0.7316, kb_relative_information_score: 447.4293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7725, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.6043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7837, kappa: 0.7672, kb_relative_information_score: 457.7817, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7937, predictive_accuracy: 0.7811, prior_entropy: 4.208, recall: 0.7811, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.7751, kappa: 0.7611, kb_relative_information_score: 444.4753, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7826, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7481, kappa: 0.7272, kb_relative_information_score: 431.1067, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7669, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7538, kappa: 0.7372, kb_relative_information_score: 446.2632, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7603, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.7715, kappa: 0.7521, kb_relative_information_score: 452.114, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7849, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.7672, kappa: 0.75, kb_relative_information_score: 442.0351, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7772, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.7636, kappa: 0.7481, kb_relative_information_score: 435.6293, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7715, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7672, kappa: 0.7518, kb_relative_information_score: 442.6043, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7702, kappa: 0.7499, kb_relative_information_score: 449.9545, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7901, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.751, kappa: 0.7312, kb_relative_information_score: 439.9687, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7637, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.75, kappa: 0.729, kb_relative_information_score: 430.0857, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7675, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7909, kappa: 0.7748, kb_relative_information_score: 455.7256, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.799, predictive_accuracy: 0.7881, prior_entropy: 4.208, recall: 0.7881, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7489, kappa: 0.7271, kb_relative_information_score: 430.9368, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7663, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7519, kappa: 0.7296, kb_relative_information_score: 449.1885, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7736, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7525, kappa: 0.7352, kb_relative_information_score: 438.2687, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7627, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, kappa: 0.7268, kb_relative_information_score: 431.8954, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.7568, kappa: 0.7372, kb_relative_information_score: 449.2779, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7697, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7474, kappa: 0.7277, kb_relative_information_score: 429.0772, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7632, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.7679, kappa: 0.7536, kb_relative_information_score: 437.2297, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7763, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, kappa: 0.7156, kb_relative_information_score: 421.7507, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, kappa: 0.7317, kb_relative_information_score: 430.6132, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7799, kappa: 0.7615, kb_relative_information_score: 452.4152, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7913, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.773, kappa: 0.7517, kb_relative_information_score: 456.4034, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7938, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, kappa: 0.7192, kb_relative_information_score: 430.2842, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7596, kappa: 0.7424, kb_relative_information_score: 433.4331, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7685, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.7869, kappa: 0.771, kb_relative_information_score: 454.1836, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7962, predictive_accuracy: 0.7846, prior_entropy: 4.208, recall: 0.7846, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7565, kappa: 0.7351, kb_relative_information_score: 450.3217, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7733, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.7662, kappa: 0.7465, kb_relative_information_score: 454.5604, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.779, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.7727, kappa: 0.7576, kb_relative_information_score: 437.6213, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7789, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7623, kappa: 0.7415, kb_relative_information_score: 446.33, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7881, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7479, kappa: 0.7259, kb_relative_information_score: 449.5065, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7634, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, kappa: 0.7324, kb_relative_information_score: 434.1054, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7983, kappa: 0.7841, kb_relative_information_score: 457.4398, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8078, predictive_accuracy: 0.7968, prior_entropy: 4.208, recall: 0.7968, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, kappa: 0.7195, kb_relative_information_score: 423.1081, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, kappa: 0.7175, kb_relative_information_score: 420.3392, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7576, kappa: 0.7359, kb_relative_information_score: 444.23, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7824, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.7624, kappa: 0.7463, kb_relative_information_score: 436.7453, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.77, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.6489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.7666, kappa: 0.7479, kb_relative_information_score: 440.0657, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7782, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7419, kappa: 0.7217, kb_relative_information_score: 430.5509, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7711, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7619, kappa: 0.7404, kb_relative_information_score: 438.1998, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.779, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7554, kappa: 0.7391, kb_relative_information_score: 443.6803, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7608, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.762, kappa: 0.7466, kb_relative_information_score: 436.0795, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7687, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.7633, kappa: 0.7434, kb_relative_information_score: 445.7467, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7876, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7639, kappa: 0.7466, kb_relative_information_score: 446.8611, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.77, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, kappa: 0.6946, kb_relative_information_score: 422.5198, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7128, prior_entropy: 4.208, recall: 0.7128, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7908, kappa: 0.7763, kb_relative_information_score: 447.5234, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7987, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.7544, kappa: 0.7369, kb_relative_information_score: 441.0132, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7645, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.135, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, kappa: 0.7228, kb_relative_information_score: 434.5649, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, kappa: 0.6983, kb_relative_information_score: 423.1134, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7163, prior_entropy: 4.208, recall: 0.7163, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.748, kappa: 0.7259, kb_relative_information_score: 448.618, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.77, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7485, kappa: 0.73, kb_relative_information_score: 435.9243, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7576, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.6389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.7835, kappa: 0.7673, kb_relative_information_score: 451.7425, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7927, predictive_accuracy: 0.7811, prior_entropy: 4.208, recall: 0.7811, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.6402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7841, kappa: 0.7668, kb_relative_information_score: 441.603, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7954, predictive_accuracy: 0.7811, prior_entropy: 4.208, recall: 0.7811, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, kappa: 0.7268, kb_relative_information_score: 432.4066, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, kappa: 0.7193, kb_relative_information_score: 424.5679, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, kappa: 0.7249, kb_relative_information_score: 430.7853, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7572, kappa: 0.7391, kb_relative_information_score: 440.3105, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.766, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.7651, kappa: 0.7482, kb_relative_information_score: 444.852, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7728, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.7597, kappa: 0.7444, kb_relative_information_score: 440.0803, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7642, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.751, kappa: 0.731, kb_relative_information_score: 434.5494, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7805, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, kappa: 0.7211, kb_relative_information_score: 420.7567, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7455, kappa: 0.7254, kb_relative_information_score: 432.1138, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7749, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, kappa: 0.7113, kb_relative_information_score: 427.292, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7285, prior_entropy: 4.208, recall: 0.7285, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7664, kappa: 0.7465, kb_relative_information_score: 453.1054, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7791, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7613, kappa: 0.7446, kb_relative_information_score: 442.7746, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7686, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.7633, kappa: 0.7409, kb_relative_information_score: 450.9772, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7827, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.7736, kappa: 0.7576, kb_relative_information_score: 446.2469, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7804, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7537, kappa: 0.7372, kb_relative_information_score: 436.5211, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7623, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.7545, kappa: 0.7331, kb_relative_information_score: 448.7874, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7717, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7731, kappa: 0.7535, kb_relative_information_score: 452.6681, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7911, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7588, kappa: 0.7406, kb_relative_information_score: 442.8528, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7704, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, kappa: 0.7211, kb_relative_information_score: 430.313, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.7522, kappa: 0.7349, kb_relative_information_score: 438.9709, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7768, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, kappa: 0.7157, kb_relative_information_score: 419.9305, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, kappa: 0.7176, kb_relative_information_score: 423.5411, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.771, kappa: 0.7497, kb_relative_information_score: 451.9491, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.791, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7489, kappa: 0.7291, kb_relative_information_score: 435.055, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7785, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.7775, kappa: 0.7613, kb_relative_information_score: 438.4437, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7852, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.7703, kappa: 0.7517, kb_relative_information_score: 444.6328, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7826, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, kappa: 0.7298, kb_relative_information_score: 429.6875, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7543, kappa: 0.7368, kb_relative_information_score: 437.8014, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7798, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7669, kappa: 0.748, kb_relative_information_score: 440.8743, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7785, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.7775, kappa: 0.7592, kb_relative_information_score: 439.05, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7922, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, kappa: 0.7304, kb_relative_information_score: 433.1026, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7685, kappa: 0.7497, kb_relative_information_score: 443.2658, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7806, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.7452, kappa: 0.7234, kb_relative_information_score: 430.1464, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7632, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, kappa: 0.7193, kb_relative_information_score: 424.567, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kappa: 0.7176, kb_relative_information_score: 422.0342, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.767, kappa: 0.7462, kb_relative_information_score: 448.8972, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7855, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.771, kappa: 0.7538, kb_relative_information_score: 442.1977, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7803, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7176, kb_relative_information_score: 422.8234, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, kappa: 0.7248, kb_relative_information_score: 431.0746, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7497, kappa: 0.7291, kb_relative_information_score: 429.8776, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7671, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7862, kappa: 0.7705, kb_relative_information_score: 443.1381, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7975, predictive_accuracy: 0.7846, prior_entropy: 4.208, recall: 0.7846, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, kappa: 0.7157, kb_relative_information_score: 422.2245, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.7513, kappa: 0.7297, kb_relative_information_score: 450.0322, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7716, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.7516, kappa: 0.7296, kb_relative_information_score: 452.9611, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7708, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, kappa: 0.7324, kb_relative_information_score: 434.7455, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.772, kappa: 0.7523, kb_relative_information_score: 446.4334, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7836, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6478,

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