Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9007 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7119, kappa: 0.6307, kb_relative_information_score: 0.6053, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7141, number_of_instances: 1941, precision: 0.7118, predictive_accuracy: 0.7141, prior_entropy: 2.4107, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.241, root_relative_squared_error: 0.7228, unweighted_recall: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.7051, kappa: 0.6247, kb_relative_information_score: 0.5976, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7074, number_of_instances: 1941, precision: 0.7038, predictive_accuracy: 0.7074, prior_entropy: 2.4107, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.243, root_relative_squared_error: 0.729, unweighted_recall: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7084, kappa: 0.6266, kb_relative_information_score: 0.5996, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2223, weighted_recall: 0.711, number_of_instances: 1941, precision: 0.708, predictive_accuracy: 0.711, prior_entropy: 2.4107, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.7247, unweighted_recall: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7138, kappa: 0.6331, kb_relative_information_score: 0.6024, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7161, number_of_instances: 1941, precision: 0.7138, predictive_accuracy: 0.7161, prior_entropy: 2.4107, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.724, unweighted_recall: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, kappa: 0.5319, kb_relative_information_score: 0.3242, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6445, number_of_instances: 1941, predictive_accuracy: 0.6445, prior_entropy: 2.4107, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8613, unweighted_recall: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7012, kappa: 0.6159, kb_relative_information_score: 0.5576, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7048, number_of_instances: 1941, precision: 0.7055, predictive_accuracy: 0.7048, prior_entropy: 2.4107, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7429, unweighted_recall: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.6937, kappa: 0.6094, kb_relative_information_score: 0.5294, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6991, number_of_instances: 1941, precision: 0.697, predictive_accuracy: 0.6991, prior_entropy: 2.4107, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.251, root_relative_squared_error: 0.753, unweighted_recall: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7101, kappa: 0.6282, kb_relative_information_score: 0.6035, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2223, weighted_recall: 0.712, number_of_instances: 1941, precision: 0.71, predictive_accuracy: 0.712, prior_entropy: 2.4107, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7239, unweighted_recall: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7066, kappa: 0.6256, kb_relative_information_score: 0.5769, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7105, number_of_instances: 1941, precision: 0.7062, predictive_accuracy: 0.7105, prior_entropy: 2.4107, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.733, unweighted_recall: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.6966, kappa: 0.6095, kb_relative_information_score: 0.5954, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6976, number_of_instances: 1941, precision: 0.6986, predictive_accuracy: 0.6976, prior_entropy: 2.4107, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.7426, unweighted_recall: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7092, kappa: 0.6272, kb_relative_information_score: 0.6027, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7115, number_of_instances: 1941, precision: 0.7091, predictive_accuracy: 0.7115, prior_entropy: 2.4107, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7236, unweighted_recall: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7131, kappa: 0.6318, kb_relative_information_score: 0.6056, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7151, number_of_instances: 1941, precision: 0.7131, predictive_accuracy: 0.7151, prior_entropy: 2.4107, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.7224, unweighted_recall: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7099, kappa: 0.6288, kb_relative_information_score: 0.5892, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2223, weighted_recall: 0.713, number_of_instances: 1941, precision: 0.71, predictive_accuracy: 0.713, prior_entropy: 2.4107, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.7291, unweighted_recall: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7102, kappa: 0.6286, kb_relative_information_score: 0.5988, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7125, number_of_instances: 1941, precision: 0.71, predictive_accuracy: 0.7125, prior_entropy: 2.4107, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7252, unweighted_recall: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.7119, kappa: 0.6307, kb_relative_information_score: 0.6053, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7141, number_of_instances: 1941, precision: 0.7118, predictive_accuracy: 0.7141, prior_entropy: 2.4107, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.241, root_relative_squared_error: 0.7228, unweighted_recall: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.7169, kappa: 0.638, kb_relative_information_score: 0.6343, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7192, number_of_instances: 1941, precision: 0.7163, predictive_accuracy: 0.7192, prior_entropy: 2.4107, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7062, unweighted_recall: 0.7225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.7153, kappa: 0.6351, kb_relative_information_score: 0.6239, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7177, number_of_instances: 1941, precision: 0.7153, predictive_accuracy: 0.7177, prior_entropy: 2.4107, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7084, unweighted_recall: 0.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.6595, kappa: 0.5653, kb_relative_information_score: 0.4947, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6739, number_of_instances: 1941, precision: 0.667, predictive_accuracy: 0.6739, prior_entropy: 2.4107, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.7701, unweighted_recall: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.7119, kappa: 0.6292, kb_relative_information_score: 0.5915, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7146, number_of_instances: 1941, precision: 0.714, predictive_accuracy: 0.7146, prior_entropy: 2.4107, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.7203, unweighted_recall: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.63, kappa: 0.5283, kb_relative_information_score: 0.4623, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6481, number_of_instances: 1941, precision: 0.6497, predictive_accuracy: 0.6481, prior_entropy: 2.4107, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7897, unweighted_recall: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, kappa: 0.3237, kb_relative_information_score: 0.2592, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2223, weighted_recall: 0.5327, number_of_instances: 1941, predictive_accuracy: 0.5327, prior_entropy: 2.4107, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8842, unweighted_recall: 0.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7102, kappa: 0.6286, kb_relative_information_score: 0.5988, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7125, number_of_instances: 1941, precision: 0.71, predictive_accuracy: 0.7125, prior_entropy: 2.4107, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7252, unweighted_recall: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.712, kappa: 0.6307, kb_relative_information_score: 0.6054, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7141, number_of_instances: 1941, precision: 0.712, predictive_accuracy: 0.7141, prior_entropy: 2.4107, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.7228, unweighted_recall: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.7127, kappa: 0.6311, kb_relative_information_score: 0.6056, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7146, number_of_instances: 1941, precision: 0.7129, predictive_accuracy: 0.7146, prior_entropy: 2.4107, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.7226, unweighted_recall: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7122, kappa: 0.6309, kb_relative_information_score: 0.6043, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7141, number_of_instances: 1941, precision: 0.7121, predictive_accuracy: 0.7141, prior_entropy: 2.4107, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7236, unweighted_recall: 0.7085,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.712, kappa: 0.6307, kb_relative_information_score: 0.6054, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7141, number_of_instances: 1941, precision: 0.712, predictive_accuracy: 0.7141, prior_entropy: 2.4107, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.7228, unweighted_recall: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, kappa: 0.3237, kb_relative_information_score: 0.2592, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2223, weighted_recall: 0.5327, number_of_instances: 1941, predictive_accuracy: 0.5327, prior_entropy: 2.4107, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8842, unweighted_recall: 0.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.63, kappa: 0.5283, kb_relative_information_score: 0.4623, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2223, weighted_recall: 0.6481, number_of_instances: 1941, precision: 0.6497, predictive_accuracy: 0.6481, prior_entropy: 2.4107, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7897, unweighted_recall: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, kappa: 0.3237, kb_relative_information_score: 0.2592, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2223, weighted_recall: 0.5327, number_of_instances: 1941, predictive_accuracy: 0.5327, prior_entropy: 2.4107, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8842, unweighted_recall: 0.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7102, kappa: 0.6286, kb_relative_information_score: 0.5988, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7125, number_of_instances: 1941, precision: 0.71, predictive_accuracy: 0.7125, prior_entropy: 2.4107, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7252, unweighted_recall: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7062, kappa: 0.625, kb_relative_information_score: 0.5765, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2223, weighted_recall: 0.7099, number_of_instances: 1941, precision: 0.7057, predictive_accuracy: 0.7099, prior_entropy: 2.4107, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7331, unweighted_recall: 0.7005,

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