Task
Supervised Classification on fri_c1_250_50

Supervised Classification on fri_c1_250_50

Task 3635 Supervised Classification fri_c1_250_50 546 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: 0.6655, f_measure: 0.6621, kappa: 0.3165, kb_relative_information_score: 55.5652, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6624, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8833, kappa: 0.7638, kb_relative_information_score: 146.7153, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8861, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6421, kappa: 0.2771, kb_relative_information_score: 58.3353, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6465, predictive_accuracy: 0.648, prior_entropy: 0.9934, recall: 0.648, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8389, kappa: 0.674, kb_relative_information_score: 151.8189, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6817, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.5752, kappa: 0.1409, kb_relative_information_score: 23.4826, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5758, predictive_accuracy: 0.58, prior_entropy: 0.9934, recall: 0.58, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8881, kappa: 0.7743, kb_relative_information_score: 189.1258, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6599, kappa: 0.3131, kb_relative_information_score: 73.558, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6597, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8842, kappa: 0.7667, kb_relative_information_score: 174.0607, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8851, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.776, kappa: 0.5478, kb_relative_information_score: 133.5838, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6702, kappa: 0.3327, kb_relative_information_score: 61.1273, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6705, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.7518, kappa: 0.4986, kb_relative_information_score: 39.2727, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7517, predictive_accuracy: 0.752, prior_entropy: 0.9934, recall: 0.752, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.5844, kappa: 0.1644, kb_relative_information_score: 28.7479, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5918, predictive_accuracy: 0.596, prior_entropy: 0.9934, recall: 0.596, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6761, kappa: 0.3465, kb_relative_information_score: 68.7211, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6763, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8638, kappa: 0.7246, kb_relative_information_score: 152.3218, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9934, recall: 0.864, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8356, kappa: 0.6677, kb_relative_information_score: 78.3973, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.76, kappa: 0.5155, kb_relative_information_score: 92.9489, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9934, recall: 0.76, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8563, kappa: 0.7124, kb_relative_information_score: 153.3264, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.862, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8118, kappa: 0.6196, kb_relative_information_score: 144.9555, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6003, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6271, kappa: 0.2462, kb_relative_information_score: 61.5248, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6268, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6787, kappa: 0.35, kb_relative_information_score: 66.1428, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6325, kappa: 0.2566, kb_relative_information_score: 65.569, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6337, predictive_accuracy: 0.636, prior_entropy: 0.9934, recall: 0.636, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7314, kappa: 0.4569, kb_relative_information_score: 96.7583, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7313, predictive_accuracy: 0.732, prior_entropy: 0.9934, recall: 0.732, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7557, kappa: 0.5063, kb_relative_information_score: 126.3617, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7556, predictive_accuracy: 0.756, prior_entropy: 0.9934, recall: 0.756, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6367, kappa: 0.2672, kb_relative_information_score: 59.4586, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6428, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6717, kappa: 0.3369, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6715, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6003, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6735, kappa: 0.3393, kb_relative_information_score: 38.5457, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6746, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7485, kappa: 0.4948, kb_relative_information_score: 66.6858, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.751, predictive_accuracy: 0.748, prior_entropy: 0.9934, recall: 0.748, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8196, kappa: 0.6352, kb_relative_information_score: 158.7845, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6389, kappa: 0.2921, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6871, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, scimark_benchmark: 1631.1992, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6679, kappa: 0.3285, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.671, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1697.6783, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6665, kappa: 0.3264, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6718, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1862.8608, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6679, kappa: 0.3285, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.671, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1366.2134, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6665, kappa: 0.3264, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6718, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1374.3394, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6389, kappa: 0.2921, kb_relative_information_score: 79.754, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6871, predictive_accuracy: 0.664, prior_entropy: 0.9934, recall: 0.664, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, scimark_benchmark: 1387.9742, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.5889, kappa: 0.1741, kb_relative_information_score: 36.5398, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5913, predictive_accuracy: 0.588, prior_entropy: 0.9934, recall: 0.588, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.1688, scimark_benchmark: 1908.2191, usercpu_time_millis: 2000, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.5993, kappa: 0.19, kb_relative_information_score: 49.1128, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5989, predictive_accuracy: 0.6, prior_entropy: 0.9934, recall: 0.6, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.2462, scimark_benchmark: 1908.2191, usercpu_time_millis: 2375, usercpu_time_millis_training: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.6284, kappa: 0.2508, kb_relative_information_score: 61.5161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2255, scimark_benchmark: 1827.4462, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6385, kappa: 0.2688, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, scimark_benchmark: 1558.9525, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6393, kappa: 0.271, kb_relative_information_score: 62.3336, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.639, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0031, scimark_benchmark: 1065.4501, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8198, kappa: 0.6441, kb_relative_information_score: 130.9749, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8389, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6868, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8105, kappa: 0.6311, kb_relative_information_score: 162.257, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.846, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6836, 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: 0.5604, f_measure: 0.5017, kappa: 0.0517, kb_relative_information_score: 21.7948, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5348, predictive_accuracy: 0.512, prior_entropy: 0.9934, recall: 0.512, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1647, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.6267, kappa: 0.245, kb_relative_information_score: 29.3877, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6264, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9627, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8364, kappa: 0.6728, kb_relative_information_score: 145.2934, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8427, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6871, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5752, kappa: 0.1409, kb_relative_information_score: 27.8026, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5758, predictive_accuracy: 0.58, prior_entropy: 0.9934, recall: 0.58, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0211, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8875, kappa: 0.7725, kb_relative_information_score: 193.2337, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8889, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6179, kappa: 0.2399, kb_relative_information_score: 65.569, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.636, prior_entropy: 0.9934, recall: 0.636, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6724, kappa: 0.3399, kb_relative_information_score: 83.8068, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6732, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5941, kappa: 0.2048, kb_relative_information_score: 45.3047, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6134, predictive_accuracy: 0.596, prior_entropy: 0.9934, recall: 0.596, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2771, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8201, kappa: 0.6369, kb_relative_information_score: 142.7892, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7846, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.832, kappa: 0.6609, kb_relative_information_score: 148.4739, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9934, recall: 0.832, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7574, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6749, kappa: 0.3424, kb_relative_information_score: 63.585, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6748, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9071, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6817, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9248, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8672, kappa: 0.7313, kb_relative_information_score: 183.1016, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8698, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6441, kappa: 0.2819, kb_relative_information_score: 69.6218, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6443, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8599, kappa: 0.7172, kb_relative_information_score: 174.9607, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7172, 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