Task
Supervised Classification on fri_c2_250_25

Supervised Classification on fri_c2_250_25

Task 3659 Supervised Classification fri_c2_250_25 576 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: 0.7478, f_measure: 0.7271, kappa: 0.4461, kb_relative_information_score: 63.6194, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.727, predictive_accuracy: 0.728, prior_entropy: 0.9911, recall: 0.728, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7719, kappa: 0.5378, kb_relative_information_score: 116.0772, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7718, predictive_accuracy: 0.772, prior_entropy: 0.9911, recall: 0.772, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6827, kappa: 0.3559, kb_relative_information_score: 47.834, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6826, predictive_accuracy: 0.684, prior_entropy: 0.9911, recall: 0.684, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.469, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8468, kappa: 0.6887, kb_relative_information_score: 140.3237, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8496, predictive_accuracy: 0.848, prior_entropy: 0.9911, recall: 0.848, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6827, kappa: 0.3559, kb_relative_information_score: 53.015, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6826, predictive_accuracy: 0.684, prior_entropy: 0.9911, recall: 0.684, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6072, kappa: 0.2031, kb_relative_information_score: 31.479, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6067, predictive_accuracy: 0.608, prior_entropy: 0.9911, recall: 0.608, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8475, kappa: 0.6905, kb_relative_information_score: 172.1942, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9911, recall: 0.848, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6764, kappa: 0.3456, kb_relative_information_score: 73.7553, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.677, predictive_accuracy: 0.676, prior_entropy: 0.9911, recall: 0.676, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.824, kappa: 0.6435, kb_relative_information_score: 141.0209, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9911, recall: 0.824, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8026, kappa: 0.599, kb_relative_information_score: 144.2558, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8044, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.8078, kappa: 0.6104, kb_relative_information_score: 68.8773, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 0.9911, recall: 0.808, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.8078, kappa: 0.6104, kb_relative_information_score: 68.8773, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8077, predictive_accuracy: 0.808, prior_entropy: 0.9911, recall: 0.808, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.6291, kappa: 0.254, kb_relative_information_score: 34.3161, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6327, predictive_accuracy: 0.628, prior_entropy: 0.9911, recall: 0.628, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6688, kappa: 0.3318, kb_relative_information_score: 65.6574, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6706, predictive_accuracy: 0.668, prior_entropy: 0.9911, recall: 0.668, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8642, kappa: 0.7255, kb_relative_information_score: 148.9523, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8649, predictive_accuracy: 0.864, prior_entropy: 0.9911, recall: 0.864, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8135, kappa: 0.6211, kb_relative_information_score: 97.3256, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3973, kb_relative_information_score: -0.033, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7711, kappa: 0.5353, kb_relative_information_score: 97.5023, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7714, predictive_accuracy: 0.772, prior_entropy: 0.9911, recall: 0.772, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8323, kappa: 0.661, kb_relative_information_score: 152.5948, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9911, recall: 0.832, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8323, kappa: 0.661, kb_relative_information_score: 152.5948, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9911, recall: 0.832, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.84, kappa: 0.6759, kb_relative_information_score: 159.7304, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9911, recall: 0.84, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7326, kappa: 0.4606, kb_relative_information_score: 71.3356, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7344, predictive_accuracy: 0.732, prior_entropy: 0.9911, recall: 0.732, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6717, kappa: 0.3345, kb_relative_information_score: 61.1304, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6714, predictive_accuracy: 0.672, prior_entropy: 0.9911, recall: 0.672, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7725, kappa: 0.5411, kb_relative_information_score: 81.1222, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7743, predictive_accuracy: 0.772, prior_entropy: 0.9911, recall: 0.772, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7282, kappa: 0.4501, kb_relative_information_score: 111.5097, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7286, predictive_accuracy: 0.728, prior_entropy: 0.9911, recall: 0.728, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7874, kappa: 0.5687, kb_relative_information_score: 142.051, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7875, predictive_accuracy: 0.788, prior_entropy: 0.9911, recall: 0.788, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7366, kappa: 0.4682, kb_relative_information_score: 67.4135, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.738, predictive_accuracy: 0.736, prior_entropy: 0.9911, recall: 0.736, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.84, kappa: 0.6759, kb_relative_information_score: 159.7304, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9911, recall: 0.84, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8265, kappa: 0.6475, kb_relative_information_score: 139.0511, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8296, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7874, kappa: 0.5687, kb_relative_information_score: 142.051, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7875, predictive_accuracy: 0.788, prior_entropy: 0.9911, recall: 0.788, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8557, kappa: 0.7073, kb_relative_information_score: 107.0068, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9911, recall: 0.856, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7326, kappa: 0.4606, kb_relative_information_score: 71.3356, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7344, predictive_accuracy: 0.732, prior_entropy: 0.9911, recall: 0.732, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.744, kappa: 0.4815, kb_relative_information_score: 56.1668, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9911, recall: 0.744, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8164, kappa: 0.6293, kb_relative_information_score: 101.0665, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8177, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.8045, kappa: 0.6055, kb_relative_information_score: 150.1954, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8062, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.6322, kappa: 0.2701, kb_relative_information_score: 74.86, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6689, predictive_accuracy: 0.656, prior_entropy: 0.9911, recall: 0.656, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1805, scimark_benchmark: 1631.1992, 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: 0.6804, f_measure: 0.6841, kappa: 0.3606, kb_relative_information_score: 89.1127, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6843, predictive_accuracy: 0.684, prior_entropy: 0.9911, recall: 0.684, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1314, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.744, kappa: 0.4815, kb_relative_information_score: 119.654, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9911, recall: 0.744, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0183, scimark_benchmark: 1862.8608, 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: 0.6804, f_measure: 0.6841, kappa: 0.3606, kb_relative_information_score: 89.1127, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6843, predictive_accuracy: 0.684, prior_entropy: 0.9911, recall: 0.684, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1314, scimark_benchmark: 1680.1519, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.744, kappa: 0.4815, kb_relative_information_score: 119.654, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9911, recall: 0.744, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0183, scimark_benchmark: 1370.669, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.6322, kappa: 0.2701, kb_relative_information_score: 74.86, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6689, predictive_accuracy: 0.656, prior_entropy: 0.9911, recall: 0.656, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1805, scimark_benchmark: 1384.5875, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7447, kappa: 0.4862, kb_relative_information_score: 90.6568, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7479, predictive_accuracy: 0.744, prior_entropy: 0.9911, recall: 0.744, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8825, scimark_benchmark: 1908.2191, usercpu_time_millis: 1218.75, usercpu_time_millis_training: 1218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.6727, kappa: 0.3393, kb_relative_information_score: 82.5253, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6742, predictive_accuracy: 0.672, prior_entropy: 0.9911, recall: 0.672, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1304, scimark_benchmark: 1908.2191, usercpu_time_millis: 1328.125, usercpu_time_millis_training: 1328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7287, kappa: 0.4531, kb_relative_information_score: 111.5097, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7309, predictive_accuracy: 0.728, prior_entropy: 0.9911, recall: 0.728, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0497, scimark_benchmark: 1827.4462, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8365, kappa: 0.6723, kb_relative_information_score: 151.8727, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.843, predictive_accuracy: 0.836, prior_entropy: 0.9911, recall: 0.836, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.637, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8039, kappa: 0.6132, kb_relative_information_score: 149.7054, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8258, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7679, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.5884, kappa: 0.2179, kb_relative_information_score: 39.135, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6337, predictive_accuracy: 0.596, prior_entropy: 0.9911, recall: 0.596, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.1063, 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: 0.6889, f_measure: 0.6491, kappa: 0.2973, kb_relative_information_score: 34.4342, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6555, predictive_accuracy: 0.648, prior_entropy: 0.9911, recall: 0.648, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9449, 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: 0.9109, f_measure: 0.8363, kappa: 0.6693, kb_relative_information_score: 152.6813, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9911, recall: 0.836, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6792, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.6072, kappa: 0.2031, kb_relative_information_score: 33.1442, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6067, predictive_accuracy: 0.608, prior_entropy: 0.9911, recall: 0.608, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9972, 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: 0.792, f_measure: 0.7957, kappa: 0.5857, kb_relative_information_score: 146.1232, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7956, predictive_accuracy: 0.796, prior_entropy: 0.9911, recall: 0.796, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.909, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6747, kappa: 0.3396, kb_relative_information_score: 85.0405, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6745, predictive_accuracy: 0.676, prior_entropy: 0.9911, recall: 0.676, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1456, 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: 0.8327, f_measure: 0.7955, kappa: 0.5849, kb_relative_information_score: 112.6153, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7955, predictive_accuracy: 0.796, prior_entropy: 0.9911, recall: 0.796, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8028, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7838, kappa: 0.5617, kb_relative_information_score: 106.1939, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8271, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5167, kappa: 0.1195, kb_relative_information_score: 19.4567, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6539, predictive_accuracy: 0.6, prior_entropy: 0.9911, recall: 0.6, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0258, 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: 0.6394, f_measure: 0.6827, kappa: 0.3559, kb_relative_information_score: 53.015, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6826, predictive_accuracy: 0.684, prior_entropy: 0.9911, recall: 0.684, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0409, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8398, kappa: 0.6753, kb_relative_information_score: 168.5202, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9911, recall: 0.84, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3973, kb_relative_information_score: 23.9577, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7496, kappa: 0.4912, kb_relative_information_score: 123.7262, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7521, predictive_accuracy: 0.752, prior_entropy: 0.9911, recall: 0.752, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 144.1891, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7624, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.84, kappa: 0.6759, kb_relative_information_score: 159.7304, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9911, recall: 0.84, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7949, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8202, kappa: 0.6364, kb_relative_information_score: 145.8306, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9911, recall: 0.82, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7231, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs