Task
Supervised Classification on confidence

Supervised Classification on confidence

Task 4264 Supervised Classification confidence 186 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7758, kappa: 0.7317, kb_relative_information_score: 533.2791, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 2.585, recall: 0.7764, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7004, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7945, kappa: 0.76, kb_relative_information_score: 544.1232, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7939, predictive_accuracy: 0.8, prior_entropy: 2.585, recall: 0.8, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5778, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7758, kappa: 0.7317, kb_relative_information_score: 533.2791, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 2.585, recall: 0.7764, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7004, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7945, kappa: 0.76, kb_relative_information_score: 544.1232, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7939, predictive_accuracy: 0.8, prior_entropy: 2.585, recall: 0.8, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5778, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 730.6551, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8386, kappa: 0.8067, kb_relative_information_score: 592.6742, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8394, predictive_accuracy: 0.8389, prior_entropy: 2.585, recall: 0.8389, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5004, scimark_benchmark: 938.988, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8383, kappa: 0.8067, kb_relative_information_score: 593.7837, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8383, predictive_accuracy: 0.8389, prior_entropy: 2.585, recall: 0.8389, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.498, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8427, kappa: 0.8117, kb_relative_information_score: 592.9144, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.843, predictive_accuracy: 0.8431, prior_entropy: 2.585, recall: 0.8431, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5014, scimark_benchmark: 938.8535, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8466, kappa: 0.8167, kb_relative_information_score: 589.6149, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8467, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5117, scimark_benchmark: 941.589, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8396, kappa: 0.8083, kb_relative_information_score: 591.1707, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8397, predictive_accuracy: 0.8403, prior_entropy: 2.585, recall: 0.8403, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.514, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.415, f_measure: 0.0634, kappa: -0.0333, kb_relative_information_score: 2.6239, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.0458, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.2034, kappa: 0.1333, kb_relative_information_score: 273.5507, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.211, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9001, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.2034, kappa: 0.1333, kb_relative_information_score: 273.5507, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.211, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9001, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.2034, kappa: 0.1333, kb_relative_information_score: 273.5507, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.211, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.2034, kappa: 0.1333, kb_relative_information_score: 273.5507, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.211, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9001, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.2034, kappa: 0.1333, kb_relative_information_score: 273.5507, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.211, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.0634, kappa: -0.0333, kb_relative_information_score: 36.9115, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.0458, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0333, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.4376, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8195, kappa: 0.785, kb_relative_information_score: 553.8377, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.82, predictive_accuracy: 0.8208, prior_entropy: 2.585, recall: 0.8208, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.5819, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8231, kappa: 0.7883, kb_relative_information_score: 528.254, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8229, predictive_accuracy: 0.8236, prior_entropy: 2.585, recall: 0.8236, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.5812, scimark_benchmark: 906.0884, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.3508, kappa: 0.27, kb_relative_information_score: 263.4533, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.3599, predictive_accuracy: 0.3917, prior_entropy: 2.585, recall: 0.3917, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.8906, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.72, kappa: 0.7083, kb_relative_information_score: 521.1691, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7418, predictive_accuracy: 0.7569, prior_entropy: 2.585, recall: 0.7569, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.6931, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7758, kappa: 0.7317, kb_relative_information_score: 533.2791, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 2.585, recall: 0.7764, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7004, scimark_benchmark: 907.1091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7626, kappa: 0.73, kb_relative_information_score: 514.6874, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7682, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6268, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8227, kappa: 0.7933, kb_relative_information_score: 584.4653, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8203, predictive_accuracy: 0.8278, prior_entropy: 2.585, recall: 0.8278, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.6047, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.6715, kappa: 0.6783, kb_relative_information_score: 440.2027, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6321, predictive_accuracy: 0.7319, prior_entropy: 2.585, recall: 0.7319, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.7425, scimark_benchmark: 1339.3082, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8243, kappa: 0.7917, kb_relative_information_score: 580.7111, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8244, predictive_accuracy: 0.8264, prior_entropy: 2.585, recall: 0.8264, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5818, scimark_benchmark: 1256.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7664, kappa: 0.72, kb_relative_information_score: 528.8509, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7714, predictive_accuracy: 0.7667, prior_entropy: 2.585, recall: 0.7667, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7285, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7744, kappa: 0.73, kb_relative_information_score: 532.1543, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7027, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7945, kappa: 0.76, kb_relative_information_score: 544.1232, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7939, predictive_accuracy: 0.8, prior_entropy: 2.585, recall: 0.8, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5778, scimark_benchmark: 1318.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.6556, kappa: 0.62, kb_relative_information_score: 343.7336, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6608, predictive_accuracy: 0.6833, prior_entropy: 2.585, recall: 0.6833, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7809, scimark_benchmark: 1238.4346, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7744, kappa: 0.73, kb_relative_information_score: 532.1543, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7027, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8172, kappa: 0.7867, kb_relative_information_score: 538.3353, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8177, predictive_accuracy: 0.8222, prior_entropy: 2.585, recall: 0.8222, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.6055, scimark_benchmark: 1318.3027, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.2875, kappa: 0.13, kb_relative_information_score: 144.8836, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.6014, predictive_accuracy: 0.275, prior_entropy: 2.585, recall: 0.275, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.3191, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7652, kappa: 0.735, kb_relative_information_score: 540.8736, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7672, predictive_accuracy: 0.7792, prior_entropy: 2.585, recall: 0.7792, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6342, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7626, kappa: 0.73, kb_relative_information_score: 514.6874, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.7682, predictive_accuracy: 0.775, prior_entropy: 2.585, recall: 0.775, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.6268, scimark_benchmark: 1343.7262, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8373, kappa: 0.8033, kb_relative_information_score: 574.8828, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2778, number_of_instances: 720, precision: 0.8393, predictive_accuracy: 0.8361, prior_entropy: 2.585, recall: 0.8361, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421, scimark_benchmark: 1350.4825, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs