Task
Supervised Classification on ML2017-challenge-2

Supervised Classification on ML2017-challenge-2

Task 146544 Supervised Classification ML2017-challenge-2 59 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -0.0842, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, weighted_recall: 0.8324, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9813, scimark_benchmark: 1015.7068, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7713, kappa: 0.0671, kb_relative_information_score: -1277.0573, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8168, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7831, kappa: 0.1184, kb_relative_information_score: -99.1015, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8078, predictive_accuracy: 0.8379, prior_entropy: 0.6541, recall: 0.8379, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7824, kappa: 0.1157, kb_relative_information_score: -175.2202, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8069, predictive_accuracy: 0.8376, prior_entropy: 0.6541, recall: 0.8376, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7821, kappa: 0.1212, kb_relative_information_score: -3423.3522, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.78, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7839, kappa: 0.1218, kb_relative_information_score: -119.7966, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.809, predictive_accuracy: 0.8383, prior_entropy: 0.6541, recall: 0.8383, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.7844, kappa: 0.1308, kb_relative_information_score: -3587.4395, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7806, kappa: 0.1076, kb_relative_information_score: -452.5768, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8077, predictive_accuracy: 0.8374, prior_entropy: 0.6541, recall: 0.8374, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7812, kappa: 0.11, kb_relative_information_score: -474.468, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8101, predictive_accuracy: 0.8379, prior_entropy: 0.6541, recall: 0.8379, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7818, kappa: 0.1576, kb_relative_information_score: 398.4685, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7688, predictive_accuracy: 0.8046, prior_entropy: 0.6541, recall: 0.8046, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.394, root_relative_squared_error: 1.0527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7822, kappa: 0.1145, kb_relative_information_score: -435.0521, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8097, predictive_accuracy: 0.8381, prior_entropy: 0.6541, recall: 0.8381, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.79, kappa: 0.1615, kb_relative_information_score: 367.4287, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7846, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7899, kappa: 0.1552, kb_relative_information_score: 635.8713, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.791, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7855, kappa: 0.1297, kb_relative_information_score: -293.4222, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8062, predictive_accuracy: 0.838, prior_entropy: 0.6541, recall: 0.838, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7819, kappa: 0.1134, kb_relative_information_score: -404.8947, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8069, predictive_accuracy: 0.8375, prior_entropy: 0.6541, recall: 0.8375, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7816, kappa: 0.1119, kb_relative_information_score: -439.6728, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8085, predictive_accuracy: 0.8377, prior_entropy: 0.6541, recall: 0.8377, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7798, kappa: 0.1043, kb_relative_information_score: -653.9839, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8072, predictive_accuracy: 0.8372, prior_entropy: 0.6541, recall: 0.8372, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7856, kappa: 0.1307, kb_relative_information_score: -167.5478, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8372, prior_entropy: 0.6541, recall: 0.8372, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7859, kappa: 0.1317, kb_relative_information_score: -205.7912, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8372, prior_entropy: 0.6541, recall: 0.8372, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7807, kappa: 0.1081, kb_relative_information_score: -472.4578, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8373, prior_entropy: 0.6541, recall: 0.8373, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7753, kappa: 0.0847, kb_relative_information_score: -747.2045, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7857, kappa: 0.1314, kb_relative_information_score: -237.9912, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8367, prior_entropy: 0.6541, recall: 0.8367, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7752, kappa: 0.0842, kb_relative_information_score: -852.6622, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8111, predictive_accuracy: 0.8367, prior_entropy: 0.6541, recall: 0.8367, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7769, kappa: 0.0912, kb_relative_information_score: -735.552, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8102, predictive_accuracy: 0.837, prior_entropy: 0.6541, recall: 0.837, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.773, kappa: 0.0758, kb_relative_information_score: -63490.2589, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 1.7832, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.751, kappa: 0.111, kb_relative_information_score: -4249.845, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7511, prior_entropy: 0.6541, recall: 0.7511, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.7742, kappa: 0.0823, kb_relative_information_score: -4926.7743, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7807, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.375, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.7822, kappa: 0.125, kb_relative_information_score: -5621.9914, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8256, prior_entropy: 0.6541, recall: 0.8256, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.38, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.7551, kb_relative_information_score: -16926.394, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.1389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7705, kappa: 0.0647, kb_relative_information_score: -63324.5789, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7908, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 1.7799, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7833, kappa: 0.1264, kb_relative_information_score: -3417.2464, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7817, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7821, kappa: 0.1215, kb_relative_information_score: -3454.0801, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7798, predictive_accuracy: 0.8286, prior_entropy: 0.6541, recall: 0.8286, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.7823, kappa: 0.1222, kb_relative_information_score: -3471.9095, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7808, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7705, kappa: 0.0647, kb_relative_information_score: -63324.7016, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7908, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 1.7799, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7713, kappa: 0.0672, kb_relative_information_score: -1277.3247, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7713, kappa: 0.0673, kb_relative_information_score: -1276.7343, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8177, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: 311.486, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.7236, kappa: 0.009, kb_relative_information_score: -7734.8652, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7224, predictive_accuracy: 0.7247, prior_entropy: 0.6541, recall: 0.7247, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.402,

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