Task
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3607 Supervised Classification rmftsa_sleepdata 541 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6851, kappa: 0.3756, kb_relative_information_score: 221.358, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6941, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7242, kappa: 0.449, kb_relative_information_score: 287.3685, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7257, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.687, kappa: 0.3796, kb_relative_information_score: 254.2442, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7441, kappa: 0.4882, kb_relative_information_score: 296.276, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6866, kappa: 0.3796, kb_relative_information_score: 244.0299, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6973, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.707, kappa: 0.414, kb_relative_information_score: 323.1093, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.707, predictive_accuracy: 0.707, prior_entropy: 1, recall: 0.707, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7419, kappa: 0.4846, kb_relative_information_score: 348.4437, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7435, predictive_accuracy: 0.7422, prior_entropy: 1, recall: 0.7422, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6957, kappa: 0.3929, kb_relative_information_score: 267.9234, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6981, predictive_accuracy: 0.6963, prior_entropy: 1, recall: 0.6963, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7249, kappa: 0.4545, kb_relative_information_score: 259.6055, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7357, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7297, kappa: 0.4606, kb_relative_information_score: 304.7975, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7325, predictive_accuracy: 0.7305, prior_entropy: 1, recall: 0.7305, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.6666, kappa: 0.3468, kb_relative_information_score: 218.2984, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.688, predictive_accuracy: 0.6729, prior_entropy: 1, recall: 0.6729, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.6666, kappa: 0.3468, kb_relative_information_score: 218.2984, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.688, predictive_accuracy: 0.6729, prior_entropy: 1, recall: 0.6729, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7265, kappa: 0.4532, kb_relative_information_score: 355.0877, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7269, predictive_accuracy: 0.7266, prior_entropy: 1, recall: 0.7266, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.6843, kappa: 0.3757, kb_relative_information_score: 380.3646, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6963, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7324, kappa: 0.4649, kb_relative_information_score: 324.562, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7324, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6872, kappa: 0.3748, kb_relative_information_score: 167.8516, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.688, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7096, kappa: 0.4202, kb_relative_information_score: 340.6903, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7113, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.698, kappa: 0.3963, kb_relative_information_score: 285.8048, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6986, predictive_accuracy: 0.6982, prior_entropy: 1, recall: 0.6982, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.698, kappa: 0.3963, kb_relative_information_score: 285.8048, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6986, predictive_accuracy: 0.6982, prior_entropy: 1, recall: 0.6982, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6869, kappa: 0.3796, kb_relative_information_score: 387.9685, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6967, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 326.0382, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 244.6964, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6869, kappa: 0.3796, kb_relative_information_score: 223.0734, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6967, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 245.1508, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 326.0382, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 353.1689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.71, kappa: 0.4199, kb_relative_information_score: 299.2637, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.71, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.6864, kappa: 0.3796, kb_relative_information_score: 250.235, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.698, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6686, kappa: 0.3507, kb_relative_information_score: 357.967, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6901, predictive_accuracy: 0.6748, prior_entropy: 1, recall: 0.6748, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6686, kappa: 0.3507, kb_relative_information_score: 357.967, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6901, predictive_accuracy: 0.6748, prior_entropy: 1, recall: 0.6748, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 245.1508, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7177, kappa: 0.4354, kb_relative_information_score: 260.8331, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.718, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.702, kappa: 0.4044, kb_relative_information_score: 349.5473, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7027, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.6795, kappa: 0.3618, kb_relative_information_score: 346.5216, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6839, predictive_accuracy: 0.6807, prior_entropy: 1, recall: 0.6807, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3366, kb_relative_information_score: 5.9497, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.4101, scimark_benchmark: 1697.6783, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 1862.8608, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3366, kb_relative_information_score: 5.9497, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.4101, scimark_benchmark: 1382.2833, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 1388.3998, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7251, kappa: 0.4545, kb_relative_information_score: 296.9356, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.735, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8819, scimark_benchmark: 1908.2191, usercpu_time_millis: 2390.625, usercpu_time_millis_training: 2390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7144, kappa: 0.4367, kb_relative_information_score: 264.2779, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.732, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.915, scimark_benchmark: 1908.2191, usercpu_time_millis: 1859.375, usercpu_time_millis_training: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.6711, kappa: 0.3463, kb_relative_information_score: 353.9668, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6771, predictive_accuracy: 0.6729, prior_entropy: 1, recall: 0.6729, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.572, root_relative_squared_error: 1.144, scimark_benchmark: 1827.4462, usercpu_time_millis: 9796.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 9781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6892, kappa: 0.3834, kb_relative_information_score: 391.9687, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6978, predictive_accuracy: 0.6914, prior_entropy: 1, recall: 0.6914, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.111, scimark_benchmark: 1827.4462, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7144, kappa: 0.4367, kb_relative_information_score: 264.2779, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.732, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.915, scimark_benchmark: 1871.4229, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7303, kappa: 0.4611, kb_relative_information_score: 353.9548, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7314, predictive_accuracy: 0.7305, prior_entropy: 1, recall: 0.7305, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8517, 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: 0.7623, f_measure: 0.698, kappa: 0.3963, kb_relative_information_score: 283.1123, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6986, predictive_accuracy: 0.6982, prior_entropy: 1, recall: 0.6982, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8929, 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: 0.7936, f_measure: 0.7155, kappa: 0.4318, kb_relative_information_score: 345.6949, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7169, predictive_accuracy: 0.7158, prior_entropy: 1, recall: 0.7158, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8705, 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: 0.6125, f_measure: 0.5736, kappa: 0.2257, kb_relative_information_score: 233.9609, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.681, predictive_accuracy: 0.6143, prior_entropy: 1, recall: 0.6143, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.665, kappa: 0.3428, kb_relative_information_score: 349.9666, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.685, predictive_accuracy: 0.6709, prior_entropy: 1, recall: 0.6709, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5737, root_relative_squared_error: 1.1474, 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: 0.7369, f_measure: 0.7357, kappa: 0.4741, kb_relative_information_score: 485.9734, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7426, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6786, kappa: 0.364, kb_relative_information_score: 371.9677, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6895, predictive_accuracy: 0.6816, prior_entropy: 1, recall: 0.6816, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.1285, 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: 0.7209, f_measure: 0.7133, kappa: 0.431, kb_relative_information_score: 249.5836, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7229, predictive_accuracy: 0.7158, prior_entropy: 1, recall: 0.7158, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8975, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7278, kappa: 0.4567, kb_relative_information_score: 309.735, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7285, prior_entropy: 1, recall: 0.7285, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6902, kappa: 0.3854, kb_relative_information_score: 393.9688, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6987, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7131, kappa: 0.4292, kb_relative_information_score: 238.1971, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7194, predictive_accuracy: 0.7148, prior_entropy: 1, recall: 0.7148, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8904, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6866, kappa: 0.3796, kb_relative_information_score: 244.0299, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6973, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9119, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.744, kappa: 0.4884, kb_relative_information_score: 499.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7451, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6377, kappa: 0.2754, kb_relative_information_score: 281.9633, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6377, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6019, root_relative_squared_error: 1.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6892, kappa: 0.3834, kb_relative_information_score: 391.9687, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6978, predictive_accuracy: 0.6914, prior_entropy: 1, recall: 0.6914, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 252.7073, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8938, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 326.0382, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606, 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

OpenML bootcamp

From your own software

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

OpenML APIs