OpenML
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 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: 0.8356, f_measure: 0.7398, kappa: 0.4771, kb_relative_information_score: 114.7136, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7397, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7554, kappa: 0.5082, kb_relative_information_score: 88.1663, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7559, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7551, kappa: 0.5077, kb_relative_information_score: 82.9985, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7562, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.736, kappa: 0.4742, kb_relative_information_score: 88.6399, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7421, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3998, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6556, kappa: 0.3077, kb_relative_information_score: 58.4683, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6555, predictive_accuracy: 0.656, prior_entropy: 0.9971, recall: 0.656, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 134.5696, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7641, kappa: 0.5268, kb_relative_information_score: 132.9592, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7645, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.7799, kappa: 0.558, kb_relative_information_score: 131.9702, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8078, kappa: 0.6136, kb_relative_information_score: 104.6433, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6763, kappa: 0.3517, kb_relative_information_score: 80.6463, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6777, predictive_accuracy: 0.676, prior_entropy: 0.9971, recall: 0.676, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7517, kappa: 0.5009, kb_relative_information_score: 88.3229, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7517, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6364, kappa: 0.2716, kb_relative_information_score: 37.9104, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6377, predictive_accuracy: 0.636, prior_entropy: 0.9971, recall: 0.636, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7755, kappa: 0.5488, kb_relative_information_score: 117.8821, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7759, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7761, kappa: 0.5506, kb_relative_information_score: 93.9273, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7763, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7558, kappa: 0.5092, kb_relative_information_score: 54.0284, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7558, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.0616, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7443, kappa: 0.488, kb_relative_information_score: 85.9053, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.746, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7161, kappa: 0.43, kb_relative_information_score: 87.8397, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7162, predictive_accuracy: 0.716, prior_entropy: 0.9971, recall: 0.716, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7876, kappa: 0.5732, kb_relative_information_score: 131.3362, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3251, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 117.8534, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7443, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7876, kappa: 0.5732, kb_relative_information_score: 143.3692, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8039, kappa: 0.6062, kb_relative_information_score: 110.8434, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8039, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8002, kappa: 0.5992, kb_relative_information_score: 149.4043, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7519, kappa: 0.5014, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7556, kappa: 0.5087, kb_relative_information_score: 92.1948, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7558, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.619, kappa: 0.2341, kb_relative_information_score: 59.6425, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.619, predictive_accuracy: 0.62, prior_entropy: 0.9971, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3251, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.728, kappa: 0.4538, kb_relative_information_score: 90.895, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.728, predictive_accuracy: 0.728, prior_entropy: 0.9971, recall: 0.728, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6636, kappa: 0.3303, kb_relative_information_score: 48.7885, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6786, predictive_accuracy: 0.672, prior_entropy: 0.9971, recall: 0.672, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7242, kappa: 0.4472, kb_relative_information_score: 111.1823, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7251, predictive_accuracy: 0.724, prior_entropy: 0.9971, recall: 0.724, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7562, kappa: 0.5107, kb_relative_information_score: 127.2758, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7565, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.494, root_relative_squared_error: 0.99, 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: 0.7339, f_measure: 0.7357, kappa: 0.4687, kb_relative_information_score: 117.2173, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0297, scimark_benchmark: 1862.8608, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7562, kappa: 0.5107, kb_relative_information_score: 127.2758, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7565, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.494, root_relative_squared_error: 0.99, scimark_benchmark: 1326.6423, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7357, kappa: 0.4687, kb_relative_information_score: 117.2173, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0297, scimark_benchmark: 1388.9306, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7601, kappa: 0.5215, kb_relative_information_score: 123.4124, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.765, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9355, scimark_benchmark: 1918.4916, usercpu_time_millis: 1875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7562, kappa: 0.5112, kb_relative_information_score: 125.1555, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.757, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9612, scimark_benchmark: 1918.4916, usercpu_time_millis: 2453.125, usercpu_time_millis_training: 2453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7232, kappa: 0.457, kb_relative_information_score: 117.2173, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7676, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0297, scimark_benchmark: 1827.4462, 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: 0.7515, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, scimark_benchmark: 1827.4462, 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: 0.8449, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 128.1467, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9278, scimark_benchmark: 1296.7637, usercpu_time_millis: 3850, usercpu_time_millis_training: 3850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8035, kappa: 0.605, kb_relative_information_score: 117.6129, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7433, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7911, kappa: 0.5837, kb_relative_information_score: 135.8572, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8126, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8031, 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: 0.6325, f_measure: 0.5738, kappa: 0.1738, kb_relative_information_score: 43.6322, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6101, predictive_accuracy: 0.6, prior_entropy: 0.9971, recall: 0.6, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0797, 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: 0.7304, f_measure: 0.6549, kappa: 0.3189, kb_relative_information_score: 41.6325, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6811, predictive_accuracy: 0.668, prior_entropy: 0.9971, recall: 0.668, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9165, 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: 0.8767, f_measure: 0.7881, kappa: 0.5749, kb_relative_information_score: 125.9891, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7553, 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: 0.6925, f_measure: 0.6556, kappa: 0.3077, kb_relative_information_score: 43.4467, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6555, predictive_accuracy: 0.656, prior_entropy: 0.9971, recall: 0.656, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9447, 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: 0.7274, f_measure: 0.7281, kappa: 0.4543, kb_relative_information_score: 113.194, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7283, predictive_accuracy: 0.728, prior_entropy: 0.9971, recall: 0.728, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7559, kappa: 0.5097, kb_relative_information_score: 127.2758, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7559, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.494, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6044, kappa: 0.2076, kb_relative_information_score: 50.8319, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6057, predictive_accuracy: 0.604, prior_entropy: 0.9971, recall: 0.604, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7437, kappa: 0.4848, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7437, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8235, kappa: 0.6451, kb_relative_information_score: 161.4743, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8246, predictive_accuracy: 0.824, prior_entropy: 0.9971, recall: 0.824, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8408, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7388, kappa: 0.4749, kb_relative_information_score: 119.229, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0219, 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: 0.8247, f_measure: 0.7601, kappa: 0.5185, kb_relative_information_score: 113.1187, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8283, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7751, kappa: 0.5561, kb_relative_information_score: 113.1274, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7912, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8044, 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: 0.8923, f_measure: 0.8037, kappa: 0.6054, kb_relative_information_score: 104.6801, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7434, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3998, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7861, 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: 0.7492, f_measure: 0.7517, kappa: 0.5084, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7824, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7762, kappa: 0.5515, kb_relative_information_score: 118.0836, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7773, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8391, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.7882, kappa: 0.5762, kb_relative_information_score: 120.6814, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7905, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7602, 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