Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 7397 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7944, kappa: 0.7342, kb_relative_information_score: 0.77, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7944, number_of_instances: 1941, precision: 0.7954, predictive_accuracy: 0.7944, prior_entropy: 2.4107, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6173, unweighted_recall: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7982, kappa: 0.7391, kb_relative_information_score: 0.7698, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2223, weighted_recall: 0.798, number_of_instances: 1941, precision: 0.7992, predictive_accuracy: 0.798, prior_entropy: 2.4107, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.6143, unweighted_recall: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7968, kappa: 0.7382, kb_relative_information_score: 0.776, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7975, number_of_instances: 1941, precision: 0.7974, predictive_accuracy: 0.7975, prior_entropy: 2.4107, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6318, unweighted_recall: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7968, kappa: 0.7382, kb_relative_information_score: 0.776, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7975, number_of_instances: 1941, precision: 0.7974, predictive_accuracy: 0.7975, prior_entropy: 2.4107, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6318, unweighted_recall: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.796, kappa: 0.7362, kb_relative_information_score: 0.769, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2223, weighted_recall: 0.796, number_of_instances: 1941, precision: 0.7971, predictive_accuracy: 0.796, prior_entropy: 2.4107, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6161, unweighted_recall: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7965, kappa: 0.7373, kb_relative_information_score: 0.7738, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7965, number_of_instances: 1941, precision: 0.797, predictive_accuracy: 0.7965, prior_entropy: 2.4107, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6184, unweighted_recall: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7968, kappa: 0.7382, kb_relative_information_score: 0.776, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7975, number_of_instances: 1941, precision: 0.7974, predictive_accuracy: 0.7975, prior_entropy: 2.4107, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6318, unweighted_recall: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.7987, kappa: 0.74, kb_relative_information_score: 0.7718, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7986, number_of_instances: 1941, precision: 0.7994, predictive_accuracy: 0.7986, prior_entropy: 2.4107, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.6128, unweighted_recall: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7971, kappa: 0.7378, kb_relative_information_score: 0.7683, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2223, weighted_recall: 0.797, number_of_instances: 1941, precision: 0.7979, predictive_accuracy: 0.797, prior_entropy: 2.4107, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6119, unweighted_recall: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7948, kappa: 0.7351, kb_relative_information_score: 0.7702, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2223, weighted_recall: 0.795, number_of_instances: 1941, precision: 0.7954, predictive_accuracy: 0.795, prior_entropy: 2.4107, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6175, unweighted_recall: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.7941, kappa: 0.7338, kb_relative_information_score: 0.7737, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7939, number_of_instances: 1941, precision: 0.7948, predictive_accuracy: 0.7939, prior_entropy: 2.4107, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6217, unweighted_recall: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7968, kappa: 0.7382, kb_relative_information_score: 0.776, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7975, number_of_instances: 1941, precision: 0.7974, predictive_accuracy: 0.7975, prior_entropy: 2.4107, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6318, unweighted_recall: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7577, kappa: 0.6837, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7584, number_of_instances: 1941, precision: 0.7649, predictive_accuracy: 0.7584, prior_entropy: 2.4107, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6626, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8053, kappa: 0.7483, kb_relative_information_score: 0.7619, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, weighted_recall: 0.8053, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024, unweighted_recall: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.7208, kappa: 0.64, kb_relative_information_score: 0.6106, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7239, number_of_instances: 1941, precision: 0.7257, predictive_accuracy: 0.7239, prior_entropy: 2.4107, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7057, unweighted_recall: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7324, kappa: 0.6546, kb_relative_information_score: 0.6228, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7347, number_of_instances: 1941, precision: 0.7365, predictive_accuracy: 0.7347, prior_entropy: 2.4107, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6885, unweighted_recall: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.7522, kappa: 0.6794, kb_relative_information_score: 0.6601, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7522, number_of_instances: 1941, precision: 0.7539, predictive_accuracy: 0.7522, prior_entropy: 2.4107, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6652, unweighted_recall: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.7555, kappa: 0.6827, kb_relative_information_score: 0.6498, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7558, number_of_instances: 1941, precision: 0.759, predictive_accuracy: 0.7558, prior_entropy: 2.4107, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6671, unweighted_recall: 0.7494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6992, kappa: 0.6071, kb_relative_information_score: 0.5844, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7084, number_of_instances: 1941, precision: 0.7447, predictive_accuracy: 0.7084, prior_entropy: 2.4107, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.7205, unweighted_recall: 0.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7597, kappa: 0.6895, kb_relative_information_score: 0.6668, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7615, number_of_instances: 1941, precision: 0.7631, predictive_accuracy: 0.7615, prior_entropy: 2.4107, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6564, unweighted_recall: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7608, kappa: 0.69, kb_relative_information_score: 0.6663, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7615, number_of_instances: 1941, precision: 0.7635, predictive_accuracy: 0.7615, prior_entropy: 2.4107, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.6527, unweighted_recall: 0.7631,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7546, kappa: 0.6811, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7548, number_of_instances: 1941, precision: 0.758, predictive_accuracy: 0.7548, prior_entropy: 2.4107, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.6658, unweighted_recall: 0.7525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7174, kappa: 0.6361, kb_relative_information_score: 0.6112, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7208, number_of_instances: 1941, precision: 0.7223, predictive_accuracy: 0.7208, prior_entropy: 2.4107, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7048, unweighted_recall: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.6948, kappa: 0.6047, kb_relative_information_score: 0.5922, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2223, weighted_recall: 0.694, number_of_instances: 1941, precision: 0.6994, predictive_accuracy: 0.694, prior_entropy: 2.4107, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7262, unweighted_recall: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7517, kappa: 0.6782, kb_relative_information_score: 0.66, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7548, number_of_instances: 1941, precision: 0.7603, predictive_accuracy: 0.7548, prior_entropy: 2.4107, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.6669, unweighted_recall: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, kappa: 0.23, kb_relative_information_score: 0.2752, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2223, weighted_recall: 0.459, number_of_instances: 1941, predictive_accuracy: 0.459, prior_entropy: 2.4107, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9161, unweighted_recall: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, kappa: 0.0501, kb_relative_information_score: 0.1358, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2223, weighted_recall: 0.3539, number_of_instances: 1941, predictive_accuracy: 0.3539, prior_entropy: 2.4107, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9768, unweighted_recall: 0.1707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.7541, kappa: 0.6812, kb_relative_information_score: 0.6569, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7568, number_of_instances: 1941, precision: 0.7617, predictive_accuracy: 0.7568, prior_entropy: 2.4107, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.6697, unweighted_recall: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7139, kappa: 0.6301, kb_relative_information_score: 0.6152, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7146, number_of_instances: 1941, precision: 0.716, predictive_accuracy: 0.7146, prior_entropy: 2.4107, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7042, unweighted_recall: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.7216, kappa: 0.6398, kb_relative_information_score: 0.6273, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7218, number_of_instances: 1941, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 2.4107, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.233, root_relative_squared_error: 0.6989, unweighted_recall: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6047, kappa: 0.5124, kb_relative_information_score: 0.5206, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6388, number_of_instances: 1941, precision: 0.6418, predictive_accuracy: 0.6388, prior_entropy: 2.4107, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7687, unweighted_recall: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6663, kappa: 0.5735, kb_relative_information_score: 0.4859, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6734, number_of_instances: 1941, precision: 0.6779, predictive_accuracy: 0.6734, prior_entropy: 2.4107, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7866, unweighted_recall: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.7214, kappa: 0.6401, kb_relative_information_score: 0.6106, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7244, number_of_instances: 1941, precision: 0.727, predictive_accuracy: 0.7244, prior_entropy: 2.4107, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.6994, unweighted_recall: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7571, kappa: 0.6863, kb_relative_information_score: 0.6526, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7599, number_of_instances: 1941, precision: 0.7619, predictive_accuracy: 0.7599, prior_entropy: 2.4107, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.6697, unweighted_recall: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7473, kappa: 0.6736, kb_relative_information_score: 0.6508, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7506, number_of_instances: 1941, precision: 0.7536, predictive_accuracy: 0.7506, prior_entropy: 2.4107, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.6733, unweighted_recall: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7006, kappa: 0.6131, kb_relative_information_score: 0.6075, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6991, number_of_instances: 1941, precision: 0.7058, predictive_accuracy: 0.6991, prior_entropy: 2.4107, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.7209, unweighted_recall: 0.7141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.5395, kappa: 0.3818, kb_relative_information_score: 0.3898, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2223, weighted_recall: 0.5513, number_of_instances: 1941, precision: 0.6388, predictive_accuracy: 0.5513, prior_entropy: 2.4107, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.8475, unweighted_recall: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7377, kappa: 0.659, kb_relative_information_score: 0.627, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7383, number_of_instances: 1941, precision: 0.7431, predictive_accuracy: 0.7383, prior_entropy: 2.4107, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6834, unweighted_recall: 0.7167,

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