Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125966 Supervised Classification SpeedDating 2541 runs submitted
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2541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8345, kappa: 0.347, kb_relative_information_score: 828.011, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8318, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8304, kappa: 0.327, kb_relative_information_score: 844.8366, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8282, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8355, kappa: 0.3509, kb_relative_information_score: 881.0969, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8257, kappa: 0.2971, kb_relative_information_score: 736.2188, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8223, kappa: 0.3206, kb_relative_information_score: 1166.0334, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.816, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.342, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8169, kappa: 0.316, kb_relative_information_score: 979.1885, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8125, predictive_accuracy: 0.8224, prior_entropy: 0.6457, recall: 0.8224, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8223, kappa: 0.3206, kb_relative_information_score: 1166.0334, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.816, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.342, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.8225, kappa: 0.3109, kb_relative_information_score: 1058.3499, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.8225, kappa: 0.3109, kb_relative_information_score: 1058.3499, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8372, prior_entropy: 0.6457, recall: 0.8372, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8355, kappa: 0.3509, kb_relative_information_score: 881.0969, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8535, prior_entropy: 0.6457, recall: 0.8535, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8184, kappa: 0.2704, kb_relative_information_score: 462.7847, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8171, predictive_accuracy: 0.845, prior_entropy: 0.6457, recall: 0.845, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.344, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8242, kappa: 0.2918, kb_relative_information_score: 855.6531, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8266, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.8175, kappa: 0.2632, kb_relative_information_score: 413.5077, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8186, predictive_accuracy: 0.8464, prior_entropy: 0.6457, recall: 0.8464, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.8286, kappa: 0.3222, kb_relative_information_score: 681.4978, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.825, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.8236, kappa: 0.2883, kb_relative_information_score: 717.0856, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8268, predictive_accuracy: 0.8512, prior_entropy: 0.6457, recall: 0.8512, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.8294, kappa: 0.3162, kb_relative_information_score: 710.4549, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8308, predictive_accuracy: 0.8534, prior_entropy: 0.6457, recall: 0.8534, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.8303, kappa: 0.3264, kb_relative_information_score: 979.6495, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8283, predictive_accuracy: 0.8509, prior_entropy: 0.6457, recall: 0.8509, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.8236, kappa: 0.2883, kb_relative_information_score: 717.0856, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8268, predictive_accuracy: 0.8512, prior_entropy: 0.6457, recall: 0.8512, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8245, kappa: 0.3165, kb_relative_information_score: 585.9501, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8182, predictive_accuracy: 0.8398, prior_entropy: 0.6457, recall: 0.8398, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8275, kappa: 0.3134, kb_relative_information_score: 720.1808, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8257, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8244, kappa: 0.3162, kb_relative_information_score: 1024.0341, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8181, predictive_accuracy: 0.8397, prior_entropy: 0.6457, recall: 0.8397, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.8198, kappa: 0.2795, kb_relative_information_score: 895.8823, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8173, predictive_accuracy: 0.8445, prior_entropy: 0.6457, recall: 0.8445, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8257, kappa: 0.3209, kb_relative_information_score: 1036.9803, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8197, predictive_accuracy: 0.8411, prior_entropy: 0.6457, recall: 0.8411, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8244, kappa: 0.3162, kb_relative_information_score: 1024.0341, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8181, predictive_accuracy: 0.8397, prior_entropy: 0.6457, recall: 0.8397, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8258, kappa: 0.3053, kb_relative_information_score: 551.9708, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8241, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.8295, kappa: 0.3178, kb_relative_information_score: 820.5518, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8304, predictive_accuracy: 0.8531, prior_entropy: 0.6457, recall: 0.8531, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.8221, kappa: 0.2798, kb_relative_information_score: 598.0558, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8274, predictive_accuracy: 0.8515, prior_entropy: 0.6457, recall: 0.8515, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.335, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.8327, kappa: 0.337, kb_relative_information_score: 932.8996, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8525, prior_entropy: 0.6457, recall: 0.8525, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8315, kappa: 0.331, kb_relative_information_score: 1025.4751, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8298, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8263, kappa: 0.3008, kb_relative_information_score: 851.2096, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8263, kappa: 0.3008, kb_relative_information_score: 851.2096, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8294, predictive_accuracy: 0.8527, prior_entropy: 0.6457, recall: 0.8527, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.8273, kappa: 0.31, kb_relative_information_score: 898.5121, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8267, predictive_accuracy: 0.8506, prior_entropy: 0.6457, recall: 0.8506, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.8272, kappa: 0.3136, kb_relative_information_score: 818.4423, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8247, predictive_accuracy: 0.8485, prior_entropy: 0.6457, recall: 0.8485, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.8274, kappa: 0.3138, kb_relative_information_score: 707.1037, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8252, predictive_accuracy: 0.849, prior_entropy: 0.6457, recall: 0.849, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.7884, kappa: 0.1242, kb_relative_information_score: 222.9915, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8018, predictive_accuracy: 0.8393, prior_entropy: 0.6457, recall: 0.8393, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.362, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7885, kappa: 0.3707, kb_relative_information_score: -637.3579, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8465, predictive_accuracy: 0.763, prior_entropy: 0.6457, recall: 0.763, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.2289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8289, kappa: 0.367, kb_relative_information_score: 2013.6966, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8261, predictive_accuracy: 0.8321, prior_entropy: 0.6457, recall: 0.8321, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.8231, kappa: 0.3324, kb_relative_information_score: 1453.6918, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8177, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.8181, kappa: 0.2942, kb_relative_information_score: 1106.2859, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8108, predictive_accuracy: 0.8329, prior_entropy: 0.6457, recall: 0.8329, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8267, kappa: 0.3281, kb_relative_information_score: 1186.5657, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8206, predictive_accuracy: 0.8407, prior_entropy: 0.6457, recall: 0.8407, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.8222, kappa: 0.2996, kb_relative_information_score: 796.4275, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8413, prior_entropy: 0.6457, recall: 0.8413, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.822, kappa: 0.2991, kb_relative_information_score: 869.8316, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8164, predictive_accuracy: 0.841, prior_entropy: 0.6457, recall: 0.841, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.818, kappa: 0.2736, kb_relative_information_score: 524.0811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8422, prior_entropy: 0.6457, recall: 0.8422, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.818, kappa: 0.2736, kb_relative_information_score: 524.0811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8143, predictive_accuracy: 0.8422, prior_entropy: 0.6457, recall: 0.8422, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9367,

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