OpenML
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13739 runs submitted
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  • OpenML100 study_123 study_14 study_7
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13739 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7498, kappa: 0.7278, kb_relative_information_score: 450.9939, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7715, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, kappa: 0.7286, kb_relative_information_score: 433.1742, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.343, 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: 0.9381, f_measure: 0.7676, kappa: 0.7479, kb_relative_information_score: 450.7233, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7839, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7631, kappa: 0.7463, kb_relative_information_score: 439.1462, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7735, 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: 0.1384, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7489, kappa: 0.7312, kb_relative_information_score: 440.1425, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7733, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3122, 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: 0.9423, kappa: 0.7141, kb_relative_information_score: 420.6765, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7458, kappa: 0.7259, kb_relative_information_score: 428.3437, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7604, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7673, kappa: 0.7518, kb_relative_information_score: 442.0209, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7748, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2752, 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: 0.9425, f_measure: 0.7539, kappa: 0.7314, kb_relative_information_score: 450.1088, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7752, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7706, kappa: 0.7499, kb_relative_information_score: 444.4117, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7846, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7636, kappa: 0.7423, kb_relative_information_score: 439.6232, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7797, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7641, kappa: 0.7442, kb_relative_information_score: 451.5395, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.78, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, kappa: 0.7268, kb_relative_information_score: 431.3968, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7519, kappa: 0.7317, kb_relative_information_score: 447.2564, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7694, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, kappa: 0.7157, kb_relative_information_score: 421.9505, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7635, kappa: 0.7434, kb_relative_information_score: 445.3406, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7864, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.131, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7652, kappa: 0.7466, kb_relative_information_score: 451.4282, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7766, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, kappa: 0.7284, kb_relative_information_score: 436.5353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.7842, kappa: 0.7653, kb_relative_information_score: 454.3899, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7958, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.2428, 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: 0.9467, kappa: 0.7174, kb_relative_information_score: 428.1037, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.7523, kappa: 0.7329, kb_relative_information_score: 435.8365, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7805, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3188, 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: 0.9433, kappa: 0.716, kb_relative_information_score: 421.5734, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7741, kappa: 0.7536, kb_relative_information_score: 453.7121, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7912, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.766, kappa: 0.7505, kb_relative_information_score: 445.1882, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7751, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, kappa: 0.7211, kb_relative_information_score: 421.6247, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, kappa: 0.723, kb_relative_information_score: 421.649, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7844, kappa: 0.7692, kb_relative_information_score: 446.8786, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7926, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7577, kappa: 0.7377, kb_relative_information_score: 442.2711, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7824, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, kappa: 0.7243, kb_relative_information_score: 428.0793, 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: 0.349, 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: 0.9242, f_measure: 0.7689, kappa: 0.7499, kb_relative_information_score: 439.0822, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7807, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.7532, kappa: 0.7352, kb_relative_information_score: 437.5881, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7624, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.7702, kappa: 0.7541, kb_relative_information_score: 438.8828, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7792, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7832, kappa: 0.767, kb_relative_information_score: 441.8415, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7919, predictive_accuracy: 0.7811, prior_entropy: 4.208, recall: 0.7811, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7457, kappa: 0.7239, kb_relative_information_score: 446.5227, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7596, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.135, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7661, kappa: 0.7502, kb_relative_information_score: 444.5683, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7716, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, kappa: 0.7248, kb_relative_information_score: 431.1234, 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: 0.3442, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7761, kappa: 0.7579, kb_relative_information_score: 449.9297, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7901, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.7673, kappa: 0.746, kb_relative_information_score: 443.7073, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7833, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7602, kappa: 0.7443, kb_relative_information_score: 438.1765, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7678, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.141, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.7862, kappa: 0.7712, kb_relative_information_score: 452.1658, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7934, predictive_accuracy: 0.7846, prior_entropy: 4.208, recall: 0.7846, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, kappa: 0.7037, kb_relative_information_score: 425.2285, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7215, prior_entropy: 4.208, recall: 0.7215, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7556, kappa: 0.7335, kb_relative_information_score: 448.4151, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7755, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3042, 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: 0.9081, f_measure: 0.7847, kappa: 0.769, kb_relative_information_score: 453.6325, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.793, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, kappa: 0.7243, kb_relative_information_score: 428.3295, 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: 0.14, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, kappa: 0.7209, kb_relative_information_score: 432.9858, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7819, kappa: 0.767, kb_relative_information_score: 439.8919, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7877, predictive_accuracy: 0.7811, prior_entropy: 4.208, recall: 0.7811, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7487, kappa: 0.7292, kb_relative_information_score: 433.3654, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7768, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3247, 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: 0.9412, kappa: 0.7174, kb_relative_information_score: 423.5673, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, kappa: 0.7306, kb_relative_information_score: 433.4791, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, kappa: 0.7212, kb_relative_information_score: 421.8966, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3702, 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: 0.936, f_measure: 0.7708, kappa: 0.7522, kb_relative_information_score: 454.3646, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7824, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7596, kappa: 0.7388, kb_relative_information_score: 451.5428, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7771, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.7531, kappa: 0.735, kb_relative_information_score: 442.9182, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7652, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.7586, kappa: 0.7389, kb_relative_information_score: 443.9353, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.77, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7778, kappa: 0.7633, kb_relative_information_score: 444.1738, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7823, predictive_accuracy: 0.7776, prior_entropy: 4.208, recall: 0.7776, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7541, kappa: 0.7392, kb_relative_information_score: 437.2615, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.758, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kappa: 0.7193, kb_relative_information_score: 428.5892, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7505, kappa: 0.7315, kb_relative_information_score: 446.5108, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7609, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7544, kappa: 0.7332, kb_relative_information_score: 450.0127, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.773, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7797, kappa: 0.7635, kb_relative_information_score: 439.8974, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7879, predictive_accuracy: 0.7776, prior_entropy: 4.208, recall: 0.7776, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, kappa: 0.7157, kb_relative_information_score: 421.9404, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, kappa: 0.7174, kb_relative_information_score: 419.4559, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7717, kappa: 0.7557, kb_relative_information_score: 439.5831, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7798, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, kappa: 0.7001, kb_relative_information_score: 423.8492, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.718, prior_entropy: 4.208, recall: 0.718, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kappa: 0.7268, kb_relative_information_score: 431.8054, 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: 0.3437, 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: 0.9358, f_measure: 0.7459, kappa: 0.7259, kb_relative_information_score: 428.3087, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7612, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.754, kappa: 0.7352, kb_relative_information_score: 448.6442, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7648, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, kappa: 0.7159, kb_relative_information_score: 421.4406, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7605, kappa: 0.7428, kb_relative_information_score: 440.2335, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7691, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.7641, kappa: 0.7442, kb_relative_information_score: 448.1622, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7832, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.7137, kb_relative_information_score: 418.3821, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, kappa: 0.7156, kb_relative_information_score: 421.125, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7527, kappa: 0.7329, kb_relative_information_score: 436.234, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7827, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7388, kappa: 0.7204, kb_relative_information_score: 435.4409, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7472, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.7478, kappa: 0.724, kb_relative_information_score: 449.6831, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7653, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, kappa: 0.7094, kb_relative_information_score: 426.482, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7268, prior_entropy: 4.208, recall: 0.7268, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7515, kappa: 0.7352, kb_relative_information_score: 436.0255, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7588, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.7487, kappa: 0.7294, kb_relative_information_score: 436.9211, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7664, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.136, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7512, kappa: 0.7333, kb_relative_information_score: 435.0322, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7604, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, kappa: 0.7287, kb_relative_information_score: 431.3685, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7712, kappa: 0.7518, kb_relative_information_score: 451.2712, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7857, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, kappa: 0.7193, kb_relative_information_score: 429.2999, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.793, kappa: 0.7786, kb_relative_information_score: 456.6795, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.802, predictive_accuracy: 0.7916, prior_entropy: 4.208, recall: 0.7916, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7195, kb_relative_information_score: 422.7792, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7531, kappa: 0.735, kb_relative_information_score: 441.7497, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7645, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.7524, kappa: 0.7329, kb_relative_information_score: 435.0415, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7807, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, kappa: 0.7287, kb_relative_information_score: 432.6097, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.7559, kappa: 0.7389, kb_relative_information_score: 436.5022, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7648, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.139, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7708, kappa: 0.7539, kb_relative_information_score: 437.0994, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7807, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, kappa: 0.7193, kb_relative_information_score: 424.4675, 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: 0.3574, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7573, kappa: 0.7406, kb_relative_information_score: 435.0575, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7664, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7515, kappa: 0.7296, kb_relative_information_score: 449.6557, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7733, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7661, kappa: 0.7483, kb_relative_information_score: 446.9827, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7756, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, kappa: 0.702, kb_relative_information_score: 423.9353, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7198, prior_entropy: 4.208, recall: 0.7198, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, kappa: 0.7306, kb_relative_information_score: 434.0617, 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: 0.34, 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: 0.9441, kappa: 0.716, kb_relative_information_score: 421.5759, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.365, 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: 0.9335, f_measure: 0.7466, kappa: 0.7254, kb_relative_information_score: 429.711, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7643, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, kappa: 0.7211, kb_relative_information_score: 429.9267, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.751, kappa: 0.731, kb_relative_information_score: 432.8188, mean_absolute_error: 0.0306, 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: 0.3256, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, kappa: 0.7243, kb_relative_information_score: 428.0011, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.646,

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