Task
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6892, kappa: 0.3755, kb_relative_information_score: 25.6549, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6896, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7624, kappa: 0.5298, kb_relative_information_score: 44.653, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7932, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 22.7258, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7293, kappa: 0.4561, kb_relative_information_score: 37.8298, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7299, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3869, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 17.535, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 55.6843, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 28.762, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 47.8959, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6403, kappa: 0.2791, kb_relative_information_score: 28.4089, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.76, kappa: 0.5217, kb_relative_information_score: 14.3672, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7655, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7899, kappa: 0.582, kb_relative_information_score: 25.6749, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7975, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.6194, kappa: 0.2445, kb_relative_information_score: 12.8553, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6268, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6502, kappa: 0.3017, kb_relative_information_score: 22.5308, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6536, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 48.6166, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 35.8482, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8594, kappa: 0.7176, kb_relative_information_score: 59.9744, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8617, predictive_accuracy: 0.86, prior_entropy: 0.9975, recall: 0.86, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 15.3646, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.786, kappa: 0.5728, kb_relative_information_score: 53.223, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8022, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.82, kappa: 0.6387, kb_relative_information_score: 56.4895, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3731, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 21.8777, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3731, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.76, kappa: 0.5217, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7655, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7486, kappa: 0.5048, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7658, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6892, kappa: 0.3755, kb_relative_information_score: 25.5785, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6896, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3731, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 12.4952, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 41.2765, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6025, kappa: 0.2067, kb_relative_information_score: 21.5992, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6102, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2513, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0602, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0602, scimark_benchmark: 1639.5659, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, scimark_benchmark: 1613.5812, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6025, kappa: 0.2067, kb_relative_information_score: 21.5992, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6102, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2513, scimark_benchmark: 1382.1212, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7293, kappa: 0.4639, kb_relative_information_score: 34.1032, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7405, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9181, scimark_benchmark: 1908.2191, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6703, kappa: 0.34, kb_relative_information_score: 27.6648, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6718, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0572, scimark_benchmark: 1908.2191, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7101, kappa: 0.4214, kb_relative_information_score: 37.6351, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7138, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9969, scimark_benchmark: 1314.8202, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.5863, kappa: 0.1897, kb_relative_information_score: 10.5404, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.603, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9887, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7764, kappa: 0.553, kb_relative_information_score: 51.5414, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7892, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7661, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 15.3646, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.013, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 61.7996, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8734, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 3.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7103, kappa: 0.42, kb_relative_information_score: 41.6994, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.079, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4963, kappa: -0.0109, kb_relative_information_score: -0.5111, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4963, predictive_accuracy: 0.5, prior_entropy: 0.9975, recall: 0.5, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4168, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 53.7595, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609, usercpu_time_millis: 0.026, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5994, kappa: 0.1952, kb_relative_information_score: 19.5892, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5992, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2672, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.4688, kappa: 0.0745, kb_relative_information_score: 11.5491, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6045, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.329, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6682, kappa: 0.3336, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6787, kappa: 0.3546, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7784, kappa: 0.5552, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7825, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7698, kappa: 0.5422, kb_relative_information_score: 53.7595, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7773, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609, scimark_benchmark: 1779.392,

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