OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0, root_relative_squared_error: 0, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9316, kappa: 0.8633, kb_relative_information_score: 0.8215, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, weighted_recall: 0.9317, number_of_instances: 556, precision: 0.9339, predictive_accuracy: 0.9317, prior_entropy: 1, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4131, unweighted_recall: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8469, kappa: 0.6978, kb_relative_information_score: 0.5134, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, weighted_recall: 0.8489, number_of_instances: 556, precision: 0.8684, predictive_accuracy: 0.8489, prior_entropy: 1, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6978, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8021, kappa: 0.6043, kb_relative_information_score: 0.6919, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.5, weighted_recall: 0.8022, number_of_instances: 556, precision: 0.8023, predictive_accuracy: 0.8022, prior_entropy: 1, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5807, unweighted_recall: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.899, kappa: 0.7986, kb_relative_information_score: 0.8261, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, weighted_recall: 0.8993, number_of_instances: 556, precision: 0.9034, predictive_accuracy: 0.8993, prior_entropy: 1, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4574, unweighted_recall: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7759, kappa: 0.554, kb_relative_information_score: 0.6301, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.5, weighted_recall: 0.777, number_of_instances: 556, precision: 0.7823, predictive_accuracy: 0.777, prior_entropy: 1, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6307, unweighted_recall: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8813, kappa: 0.7626, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.5, weighted_recall: 0.8813, number_of_instances: 556, precision: 0.8814, predictive_accuracy: 0.8813, prior_entropy: 1, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.245, root_relative_squared_error: 0.4899, unweighted_recall: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.6542, kappa: 0.3129, kb_relative_information_score: 0.3275, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.5, weighted_recall: 0.6565, number_of_instances: 556, precision: 0.6607, predictive_accuracy: 0.6565, prior_entropy: 1, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632, unweighted_recall: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7191, kappa: 0.464, kb_relative_information_score: 0.331, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.5, weighted_recall: 0.732, number_of_instances: 556, precision: 0.7841, predictive_accuracy: 0.732, prior_entropy: 1, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8492, unweighted_recall: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8561, kappa: 0.7122, kb_relative_information_score: 0.7471, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.5, weighted_recall: 0.8561, number_of_instances: 556, precision: 0.8566, predictive_accuracy: 0.8561, prior_entropy: 1, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5301, unweighted_recall: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7349, kappa: 0.4748, kb_relative_information_score: 0.456, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.5, weighted_recall: 0.7374, number_of_instances: 556, precision: 0.7467, predictive_accuracy: 0.7374, prior_entropy: 1, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8056, unweighted_recall: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9406, kappa: 0.8813, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.5, weighted_recall: 0.9406, number_of_instances: 556, precision: 0.9413, predictive_accuracy: 0.9406, prior_entropy: 1, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3721, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 0.9411, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.5, weighted_recall: 0.9748, number_of_instances: 556, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 1, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.255, unweighted_recall: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7591, kappa: 0.5216, kb_relative_information_score: 0.4992, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, weighted_recall: 0.7608, number_of_instances: 556, precision: 0.7685, predictive_accuracy: 0.7608, prior_entropy: 1, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7467, unweighted_recall: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.5, weighted_recall: 0.982, number_of_instances: 556, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 1, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2036, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9658, kappa: 0.9317, kb_relative_information_score: 0.9345, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.5, weighted_recall: 0.9658, number_of_instances: 556, precision: 0.9663, predictive_accuracy: 0.9658, prior_entropy: 1, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.2617, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7262, kappa: 0.464, kb_relative_information_score: 0.3692, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.5, weighted_recall: 0.732, number_of_instances: 556, precision: 0.7535, predictive_accuracy: 0.732, prior_entropy: 1, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8353, unweighted_recall: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.7946, kappa: 0.5899, kb_relative_information_score: 0.5995, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.5, weighted_recall: 0.795, number_of_instances: 556, precision: 0.7972, predictive_accuracy: 0.795, prior_entropy: 1, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6793, unweighted_recall: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6879, kappa: 0.4137, kb_relative_information_score: 0.2604, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, weighted_recall: 0.7068, number_of_instances: 556, precision: 0.7732, predictive_accuracy: 0.7068, prior_entropy: 1, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8806, unweighted_recall: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.6845, kappa: 0.3741, kb_relative_information_score: 0.337, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, weighted_recall: 0.6871, number_of_instances: 556, precision: 0.6933, predictive_accuracy: 0.6871, prior_entropy: 1, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8758, unweighted_recall: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8633, kappa: 0.7266, kb_relative_information_score: 0.7879, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.5, weighted_recall: 0.8633, number_of_instances: 556, precision: 0.8634, predictive_accuracy: 0.8633, prior_entropy: 1, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4865, unweighted_recall: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7749, kappa: 0.5612, kb_relative_information_score: 0.5073, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.5, weighted_recall: 0.7806, number_of_instances: 556, precision: 0.8118, predictive_accuracy: 0.7806, prior_entropy: 1, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7411, unweighted_recall: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.7938, kappa: 0.5899, kb_relative_information_score: 0.5739, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.5, weighted_recall: 0.795, number_of_instances: 556, precision: 0.8019, predictive_accuracy: 0.795, prior_entropy: 1, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7147, unweighted_recall: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 0.6759, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.5, weighted_recall: 0.8094, number_of_instances: 556, precision: 0.8099, predictive_accuracy: 0.8094, prior_entropy: 1, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6087, unweighted_recall: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.845, kappa: 0.6906, kb_relative_information_score: 0.6774, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.5, weighted_recall: 0.8453, number_of_instances: 556, precision: 0.8479, predictive_accuracy: 0.8453, prior_entropy: 1, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5827, unweighted_recall: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7903, kappa: 0.5827, kb_relative_information_score: 0.535, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, weighted_recall: 0.7914, number_of_instances: 556, precision: 0.7975, predictive_accuracy: 0.7914, prior_entropy: 1, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7099, unweighted_recall: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7074, kappa: 0.4209, kb_relative_information_score: 0.2521, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.5, weighted_recall: 0.7104, number_of_instances: 556, precision: 0.7197, predictive_accuracy: 0.7104, prior_entropy: 1, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8879, unweighted_recall: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8114, kappa: 0.6259, kb_relative_information_score: 0.6058, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.5, weighted_recall: 0.8129, number_of_instances: 556, precision: 0.8234, predictive_accuracy: 0.8129, prior_entropy: 1, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6605, unweighted_recall: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8811, kappa: 0.7626, kb_relative_information_score: 0.8244, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.5, weighted_recall: 0.8813, number_of_instances: 556, precision: 0.8837, predictive_accuracy: 0.8813, prior_entropy: 1, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4426, unweighted_recall: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9406, kappa: 0.8813, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.5, weighted_recall: 0.9406, number_of_instances: 556, precision: 0.9411, predictive_accuracy: 0.9406, prior_entropy: 1, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3111, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7797, kappa: 0.5647, kb_relative_information_score: 0.56, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.5, weighted_recall: 0.7824, number_of_instances: 556, precision: 0.7967, predictive_accuracy: 0.7824, prior_entropy: 1, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6961, unweighted_recall: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.7924, kappa: 0.5899, kb_relative_information_score: 0.5837, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.5, weighted_recall: 0.795, number_of_instances: 556, precision: 0.8104, predictive_accuracy: 0.795, prior_entropy: 1, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6733, unweighted_recall: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7723, kappa: 0.554, kb_relative_information_score: 0.4425, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.5, weighted_recall: 0.777, number_of_instances: 556, precision: 0.802, predictive_accuracy: 0.777, prior_entropy: 1, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.769, unweighted_recall: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 0.9691, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.5, weighted_recall: 0.982, number_of_instances: 556, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 1, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.2012, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7196, kappa: 0.4604, kb_relative_information_score: 0.3578, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.5, weighted_recall: 0.7302, number_of_instances: 556, precision: 0.7711, predictive_accuracy: 0.7302, prior_entropy: 1, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274, unweighted_recall: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7496, kappa: 0.5036, kb_relative_information_score: 0.4957, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, weighted_recall: 0.7518, number_of_instances: 556, precision: 0.7609, predictive_accuracy: 0.7518, prior_entropy: 1, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7531, unweighted_recall: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.6828, kappa: 0.3705, kb_relative_information_score: 0.3534, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, weighted_recall: 0.6853, number_of_instances: 556, precision: 0.6912, predictive_accuracy: 0.6853, prior_entropy: 1, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8357, unweighted_recall: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7985, kappa: 0.5971, kb_relative_information_score: 0.6229, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.5, weighted_recall: 0.7986, number_of_instances: 556, precision: 0.7991, predictive_accuracy: 0.7986, prior_entropy: 1, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.332, root_relative_squared_error: 0.664, unweighted_recall: 0.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9694, kappa: 0.9388, kb_relative_information_score: 0.9511, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.5, weighted_recall: 0.9694, number_of_instances: 556, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 1, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2439, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8597, kappa: 0.7194, kb_relative_information_score: 0.7289, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.5, weighted_recall: 0.8597, number_of_instances: 556, precision: 0.8602, predictive_accuracy: 0.8597, prior_entropy: 1, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5487, unweighted_recall: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8254, kappa: 0.6511, kb_relative_information_score: 0.7226, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.5, weighted_recall: 0.8255, number_of_instances: 556, precision: 0.8263, predictive_accuracy: 0.8255, prior_entropy: 1, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5523, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9406, kappa: 0.8813, kb_relative_information_score: 0.902, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.5, weighted_recall: 0.9406, number_of_instances: 556, precision: 0.9427, predictive_accuracy: 0.9406, prior_entropy: 1, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3265, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7551, kappa: 0.5108, kb_relative_information_score: 0.5455, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, weighted_recall: 0.7554, number_of_instances: 556, precision: 0.7567, predictive_accuracy: 0.7554, prior_entropy: 1, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7141, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6806, kappa: 0.3705, kb_relative_information_score: 0.2488, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.5, weighted_recall: 0.6853, number_of_instances: 556, precision: 0.6967, predictive_accuracy: 0.6853, prior_entropy: 1, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9094, unweighted_recall: 0.6853,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8866, kappa: 0.7734, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.5, weighted_recall: 0.8867, number_of_instances: 556, precision: 0.8878, predictive_accuracy: 0.8867, prior_entropy: 1, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4856, unweighted_recall: 0.8867,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.6295, kappa: 0.259, kb_relative_information_score: 0.1121, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.5, weighted_recall: 0.6295, number_of_instances: 556, precision: 0.6295, predictive_accuracy: 0.6295, prior_entropy: 1, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, unweighted_recall: 0.6295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9065, kappa: 0.8129, kb_relative_information_score: 0.8275, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.5, weighted_recall: 0.9065, number_of_instances: 556, precision: 0.9065, predictive_accuracy: 0.9065, prior_entropy: 1, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4677, unweighted_recall: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8903, kappa: 0.7806, kb_relative_information_score: 0.832, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.5, weighted_recall: 0.8903, number_of_instances: 556, precision: 0.8904, predictive_accuracy: 0.8903, prior_entropy: 1, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4325, unweighted_recall: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7791, kappa: 0.5612, kb_relative_information_score: 0.5757, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.5, weighted_recall: 0.7806, number_of_instances: 556, precision: 0.7885, predictive_accuracy: 0.7806, prior_entropy: 1, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6913, unweighted_recall: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, root_mean_prior_squared_error: 0.5, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6483, kappa: 0.2986, kb_relative_information_score: 0.2214, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.5, weighted_recall: 0.6493, number_of_instances: 556, precision: 0.6509, predictive_accuracy: 0.6493, prior_entropy: 1, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9194, unweighted_recall: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6991, kappa: 0.4137, kb_relative_information_score: 0.263, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.5, weighted_recall: 0.7068, number_of_instances: 556, precision: 0.7305, predictive_accuracy: 0.7068, prior_entropy: 1, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8845, unweighted_recall: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.724, kappa: 0.464, kb_relative_information_score: 0.3391, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, weighted_recall: 0.732, number_of_instances: 556, precision: 0.7627, predictive_accuracy: 0.732, prior_entropy: 1, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8488, unweighted_recall: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 0.9196, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.5, weighted_recall: 0.9586, number_of_instances: 556, precision: 0.9613, predictive_accuracy: 0.9586, prior_entropy: 1, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3024, unweighted_recall: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9209, kappa: 0.8417, kb_relative_information_score: 0.8424, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.5, weighted_recall: 0.9209, number_of_instances: 556, precision: 0.9211, predictive_accuracy: 0.9209, prior_entropy: 1, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.409, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8004, kappa: 0.6007, kb_relative_information_score: 0.6762, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.5, weighted_recall: 0.8004, number_of_instances: 556, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 1, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5948, unweighted_recall: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6995, kappa: 0.4137, kb_relative_information_score: 0.3243, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.5, weighted_recall: 0.7068, number_of_instances: 556, precision: 0.7293, predictive_accuracy: 0.7068, prior_entropy: 1, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8485, unweighted_recall: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7925, kappa: 0.5863, kb_relative_information_score: 0.6577, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.5, weighted_recall: 0.7932, number_of_instances: 556, precision: 0.7969, predictive_accuracy: 0.7932, prior_entropy: 1, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6085, unweighted_recall: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9244, kappa: 0.8489, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, weighted_recall: 0.9245, number_of_instances: 556, precision: 0.9255, predictive_accuracy: 0.9245, prior_entropy: 1, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3758, unweighted_recall: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7356, kappa: 0.4748, kb_relative_information_score: 0.5329, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.5, weighted_recall: 0.7374, number_of_instances: 556, precision: 0.7441, predictive_accuracy: 0.7374, prior_entropy: 1, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7043, unweighted_recall: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7997, kappa: 0.6007, kb_relative_information_score: 0.6262, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.5, weighted_recall: 0.8004, number_of_instances: 556, precision: 0.8041, predictive_accuracy: 0.8004, prior_entropy: 1, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6479, unweighted_recall: 0.8004,

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

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs