Task
Supervised Classification on fri_c2_250_10

Supervised Classification on fri_c2_250_10

Task 3695 Supervised Classification fri_c2_250_10 572 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: 0.8651, f_measure: 0.8861, kappa: 0.7511, kb_relative_information_score: 162.4146, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8341, kappa: 0.6487, kb_relative_information_score: 122.8622, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8415, predictive_accuracy: 0.832, prior_entropy: 0.9468, recall: 0.832, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8183, kappa: 0.6153, kb_relative_information_score: 112.2917, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8258, predictive_accuracy: 0.816, prior_entropy: 0.9468, recall: 0.816, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.891, kappa: 0.7628, kb_relative_information_score: 164.5743, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8915, predictive_accuracy: 0.892, prior_entropy: 0.9468, recall: 0.892, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8382, kappa: 0.6579, kb_relative_information_score: 126.4772, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8464, predictive_accuracy: 0.836, prior_entropy: 0.9468, recall: 0.836, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.8097, kappa: 0.5852, kb_relative_information_score: 113.9277, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8097, predictive_accuracy: 0.812, prior_entropy: 0.9468, recall: 0.812, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.9069, kappa: 0.797, kb_relative_information_score: 195.417, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9468, recall: 0.908, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9074, kappa: 0.7989, kb_relative_information_score: 178.1358, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9076, predictive_accuracy: 0.908, prior_entropy: 0.9468, recall: 0.908, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8122, kappa: 0.5949, kb_relative_information_score: 141.3404, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 0.9468, recall: 0.812, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.858, kappa: 0.7003, kb_relative_information_score: 120.3373, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8671, predictive_accuracy: 0.856, prior_entropy: 0.9468, recall: 0.856, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7935, kappa: 0.5499, kb_relative_information_score: 99.0776, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7932, predictive_accuracy: 0.796, prior_entropy: 0.9468, recall: 0.796, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.383, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.8341, kappa: 0.6487, kb_relative_information_score: 123.2608, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8415, predictive_accuracy: 0.832, prior_entropy: 0.9468, recall: 0.832, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8042, kappa: 0.5777, kb_relative_information_score: 128.5303, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8045, predictive_accuracy: 0.804, prior_entropy: 0.9468, recall: 0.804, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8871, kappa: 0.7546, kb_relative_information_score: 171.3615, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8874, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.903, kappa: 0.7887, kb_relative_information_score: 120.4864, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9468, recall: 0.904, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4945, kb_relative_information_score: -0.101, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.4045, predictive_accuracy: 0.636, prior_entropy: 0.9468, recall: 0.636, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8097, kappa: 0.5852, kb_relative_information_score: 104.5473, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8097, predictive_accuracy: 0.812, prior_entropy: 0.9468, recall: 0.812, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8794, kappa: 0.7384, kb_relative_information_score: 169.9829, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8793, predictive_accuracy: 0.88, prior_entropy: 0.9468, recall: 0.88, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9231, kappa: 0.8323, kb_relative_information_score: 181.435, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9248, predictive_accuracy: 0.924, prior_entropy: 0.9468, recall: 0.924, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.838, kappa: 0.6563, kb_relative_information_score: 123.0061, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.836, prior_entropy: 0.9468, recall: 0.836, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8868, kappa: 0.7535, kb_relative_information_score: 174.9875, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8876, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8422, kappa: 0.667, kb_relative_information_score: 126.6428, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8514, predictive_accuracy: 0.84, prior_entropy: 0.9468, recall: 0.84, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8164, kappa: 0.6045, kb_relative_information_score: 105.0842, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8169, predictive_accuracy: 0.816, prior_entropy: 0.9468, recall: 0.816, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8422, kappa: 0.667, kb_relative_information_score: 126.6428, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8514, predictive_accuracy: 0.84, prior_entropy: 0.9468, recall: 0.84, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8213, kappa: 0.6175, kb_relative_information_score: 149.5335, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.82, prior_entropy: 0.9468, recall: 0.82, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9111, kappa: 0.8063, kb_relative_information_score: 162.0241, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9468, recall: 0.912, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.813, kappa: 0.5987, kb_relative_information_score: 145.0784, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8147, predictive_accuracy: 0.812, prior_entropy: 0.9468, recall: 0.812, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8868, kappa: 0.7535, kb_relative_information_score: 174.9875, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8876, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8839, kappa: 0.7489, kb_relative_information_score: 166.144, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9468, recall: 0.884, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8375, kappa: 0.6531, kb_relative_information_score: 158.4436, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8412, predictive_accuracy: 0.836, prior_entropy: 0.9468, recall: 0.836, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8861, kappa: 0.7511, kb_relative_information_score: 162.4146, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8324, kappa: 0.6389, kb_relative_information_score: 107.5889, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9468, recall: 0.832, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8759, kappa: 0.7316, kb_relative_information_score: 140.804, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.876, prior_entropy: 0.9468, recall: 0.876, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8728, kappa: 0.7274, kb_relative_information_score: 178.4914, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8747, predictive_accuracy: 0.872, prior_entropy: 0.9468, recall: 0.872, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8324, kappa: 0.6389, kb_relative_information_score: 156.2161, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9468, recall: 0.832, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8519, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7717, kappa: 0.5064, kb_relative_information_score: 122.8031, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7715, predictive_accuracy: 0.772, prior_entropy: 0.9468, recall: 0.772, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9924, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7807, kappa: 0.5184, kb_relative_information_score: 131.7132, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7861, predictive_accuracy: 0.788, prior_entropy: 0.9468, recall: 0.788, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9569, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7717, kappa: 0.5064, kb_relative_information_score: 122.8031, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7715, predictive_accuracy: 0.772, prior_entropy: 0.9468, recall: 0.772, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9924, scimark_benchmark: 1393.1369, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8324, kappa: 0.6389, kb_relative_information_score: 156.2161, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9468, recall: 0.832, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8519, scimark_benchmark: 1352.5496, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7807, kappa: 0.5184, kb_relative_information_score: 131.7132, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7861, predictive_accuracy: 0.788, prior_entropy: 0.9468, recall: 0.788, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9569, scimark_benchmark: 1625.7343, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8307, kappa: 0.6444, kb_relative_information_score: 130.4644, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8429, predictive_accuracy: 0.828, prior_entropy: 0.9468, recall: 0.828, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7472, scimark_benchmark: 1908.2191, usercpu_time_millis: 703.125, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8058, kappa: 0.5854, kb_relative_information_score: 139.861, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8096, predictive_accuracy: 0.804, prior_entropy: 0.9468, recall: 0.804, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8691, scimark_benchmark: 1908.2191, usercpu_time_millis: 718.75, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.8051, kappa: 0.5816, kb_relative_information_score: 140.6234, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8068, predictive_accuracy: 0.804, prior_entropy: 0.9468, recall: 0.804, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9201, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8572, kappa: 0.6947, kb_relative_information_score: 175.2974, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8601, predictive_accuracy: 0.856, prior_entropy: 0.9468, recall: 0.856, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6755, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7288, kappa: 0.4586, kb_relative_information_score: 110.4339, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7766, predictive_accuracy: 0.724, prior_entropy: 0.9468, recall: 0.724, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8659, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7929, kappa: 0.5549, kb_relative_information_score: 84.4822, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7942, predictive_accuracy: 0.792, prior_entropy: 0.9468, recall: 0.792, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8334, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9069, kappa: 0.797, kb_relative_information_score: 176.8691, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9468, recall: 0.908, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5889, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8097, kappa: 0.5852, kb_relative_information_score: 104.5473, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8097, predictive_accuracy: 0.812, prior_entropy: 0.9468, recall: 0.812, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7938, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9147, kappa: 0.8138, kb_relative_information_score: 202.9943, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9174, predictive_accuracy: 0.916, prior_entropy: 0.9468, recall: 0.916, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8514, kappa: 0.6737, kb_relative_information_score: 169.5813, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8595, predictive_accuracy: 0.856, prior_entropy: 0.9468, recall: 0.856, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8459, kappa: 0.6731, kb_relative_information_score: 162.8987, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8524, predictive_accuracy: 0.844, prior_entropy: 0.9468, recall: 0.844, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8209, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7937, kappa: 0.5591, kb_relative_information_score: 133.9408, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.797, predictive_accuracy: 0.792, prior_entropy: 0.9468, recall: 0.792, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9479, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8949, kappa: 0.7711, kb_relative_information_score: 167.1857, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9468, recall: 0.896, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6405, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8871, kappa: 0.7546, kb_relative_information_score: 161.6368, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8874, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6564, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7567, kappa: 0.4692, kb_relative_information_score: 116.1205, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7559, predictive_accuracy: 0.76, prior_entropy: 0.9468, recall: 0.76, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.862, kappa: 0.7092, kb_relative_information_score: 119.4226, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.86, prior_entropy: 0.9468, recall: 0.86, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7918, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8382, kappa: 0.6579, kb_relative_information_score: 126.4772, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8464, predictive_accuracy: 0.836, prior_entropy: 0.9468, recall: 0.836, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7955, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.827, kappa: 0.6386, kb_relative_information_score: 151.761, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8426, predictive_accuracy: 0.824, prior_entropy: 0.9468, recall: 0.824, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8985, kappa: 0.7783, kb_relative_information_score: 177.4622, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.627, scimark_benchmark: 1838.8826,

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