Task
Supervised Classification on fri_c4_250_100

Supervised Classification on fri_c4_250_100

Task 3699 Supervised Classification fri_c4_250_100 554 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: 0.887, f_measure: 0.7957, kappa: 0.5844, kb_relative_information_score: 101.6025, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8071, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.5824, kappa: 0.1758, kb_relative_information_score: 33.7605, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6199, predictive_accuracy: 0.616, prior_entropy: 0.9898, recall: 0.616, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7687, kappa: 0.5382, kb_relative_information_score: 108.6087, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7793, predictive_accuracy: 0.768, prior_entropy: 0.9898, recall: 0.768, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6693, kappa: 0.3265, kb_relative_information_score: 64.2449, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6697, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6693, kappa: 0.3265, kb_relative_information_score: 50.3842, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6697, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5254, kappa: 0.0411, kb_relative_information_score: 8.822, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5295, predictive_accuracy: 0.544, prior_entropy: 0.9898, recall: 0.544, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.7959, kappa: 0.5856, kb_relative_information_score: 147.8754, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5764, kappa: 0.1413, kb_relative_information_score: 32.067, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5768, predictive_accuracy: 0.576, prior_entropy: 0.9898, recall: 0.576, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8683, kappa: 0.7334, kb_relative_information_score: 157.6703, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7197, kappa: 0.4307, kb_relative_information_score: 98.3143, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7195, predictive_accuracy: 0.72, prior_entropy: 0.9898, recall: 0.72, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6842, kappa: 0.3569, kb_relative_information_score: 52.5458, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6862, predictive_accuracy: 0.688, prior_entropy: 0.9898, recall: 0.688, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5284, kappa: 0.0521, kb_relative_information_score: 19.5879, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5366, predictive_accuracy: 0.552, prior_entropy: 0.9898, recall: 0.552, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.7422, kappa: 0.4759, kb_relative_information_score: 35.4636, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.748, prior_entropy: 0.9898, recall: 0.748, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.5772, kappa: 0.1463, kb_relative_information_score: 28.8842, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5796, predictive_accuracy: 0.576, prior_entropy: 0.9898, recall: 0.576, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8156, kappa: 0.6252, kb_relative_information_score: 111.2391, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8156, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7906, kappa: 0.5738, kb_relative_information_score: 67.4803, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9898, recall: 0.792, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6621, kappa: 0.3122, kb_relative_information_score: 53.738, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6659, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 146.7645, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8843, kappa: 0.7662, kb_relative_information_score: 163.7533, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.886, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 120.1704, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7515, predictive_accuracy: 0.748, prior_entropy: 0.9898, recall: 0.748, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6649, kappa: 0.3177, kb_relative_information_score: 50.2878, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6656, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5284, kappa: 0.0441, kb_relative_information_score: 12.0818, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5289, predictive_accuracy: 0.528, prior_entropy: 0.9898, recall: 0.528, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6525, kappa: 0.2923, kb_relative_information_score: 57.3664, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6532, predictive_accuracy: 0.656, prior_entropy: 0.9898, recall: 0.656, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.625, kappa: 0.2369, kb_relative_information_score: 41.9669, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.628, predictive_accuracy: 0.632, prior_entropy: 0.9898, recall: 0.632, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7134, kappa: 0.4163, kb_relative_information_score: 95.8948, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7147, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6474, kappa: 0.2819, kb_relative_information_score: 72.3469, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6489, predictive_accuracy: 0.652, prior_entropy: 0.9898, recall: 0.652, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.6392, kappa: 0.2666, kb_relative_information_score: 66.2223, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6387, predictive_accuracy: 0.64, prior_entropy: 0.9898, recall: 0.64, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7309, kappa: 0.4526, kb_relative_information_score: 44.8039, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7379, predictive_accuracy: 0.736, prior_entropy: 0.9898, recall: 0.736, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 120.1704, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7515, predictive_accuracy: 0.748, prior_entropy: 0.9898, recall: 0.748, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.719, kappa: 0.4285, kb_relative_information_score: 107.0526, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7189, predictive_accuracy: 0.72, prior_entropy: 0.9898, recall: 0.72, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6649, kappa: 0.3177, kb_relative_information_score: 50.2878, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6656, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.61, kappa: 0.2109, kb_relative_information_score: 17.5444, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6203, predictive_accuracy: 0.624, prior_entropy: 0.9898, recall: 0.624, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6412, kappa: 0.2765, kb_relative_information_score: 37.891, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6444, predictive_accuracy: 0.64, prior_entropy: 0.9898, recall: 0.64, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7329, kappa: 0.4619, kb_relative_information_score: 113.1771, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7366, predictive_accuracy: 0.732, prior_entropy: 0.9898, recall: 0.732, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5833, kappa: 0.1715, kb_relative_information_score: 51.9317, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6115, predictive_accuracy: 0.612, prior_entropy: 0.9898, recall: 0.612, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2549, scimark_benchmark: 1959.6455, 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: 0.6052, f_measure: 0.6141, kappa: 0.2144, kb_relative_information_score: 56.0148, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6155, predictive_accuracy: 0.62, prior_entropy: 0.9898, recall: 0.62, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2419, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1631.1992, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5911, kappa: 0.1688, kb_relative_information_score: 35.8114, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5905, predictive_accuracy: 0.592, prior_entropy: 0.9898, recall: 0.592, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5906, root_relative_squared_error: 1.1897, scimark_benchmark: 1653.5505, usercpu_time_millis: 3430, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.6141, kappa: 0.2144, kb_relative_information_score: 56.0148, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6155, predictive_accuracy: 0.62, prior_entropy: 0.9898, recall: 0.62, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2419, scimark_benchmark: 1367.69, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5833, kappa: 0.1715, kb_relative_information_score: 51.9317, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6115, predictive_accuracy: 0.612, prior_entropy: 0.9898, recall: 0.612, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2549, scimark_benchmark: 1385.4461, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1649.6897, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5578, kappa: 0.1001, kb_relative_information_score: 21.5335, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5568, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3121, scimark_benchmark: 1908.2191, usercpu_time_millis: 4484.375, usercpu_time_millis_training: 4484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6042, kappa: 0.1972, kb_relative_information_score: 47.8487, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6044, predictive_accuracy: 0.604, prior_entropy: 0.9898, recall: 0.604, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2677, scimark_benchmark: 1827.4462, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 93.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 145.4922, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7736, scimark_benchmark: 1744.8652, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8121, kappa: 0.6189, kb_relative_information_score: 134.6949, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9898, recall: 0.812, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8163, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7526, kappa: 0.4997, kb_relative_information_score: 98.8296, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.754, predictive_accuracy: 0.752, prior_entropy: 0.9898, recall: 0.752, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8998, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6693, kappa: 0.3265, kb_relative_information_score: 50.3842, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6697, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0044, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7289, kappa: 0.4544, kb_relative_information_score: 110.2319, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7332, predictive_accuracy: 0.728, prior_entropy: 0.9898, recall: 0.728, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0293, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6649, kappa: 0.3177, kb_relative_information_score: 50.2878, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6656, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0047, scimark_benchmark: 1744.8652, 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: 0.5922, f_measure: 0.5991, kappa: 0.1851, kb_relative_information_score: 45.8072, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5985, predictive_accuracy: 0.6, prior_entropy: 0.9898, recall: 0.6, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5811, kappa: 0.1664, kb_relative_information_score: 35.5996, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.592, predictive_accuracy: 0.58, prior_entropy: 0.9898, recall: 0.58, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3056, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.6042, kappa: 0.1972, kb_relative_information_score: 41.5501, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6044, predictive_accuracy: 0.604, prior_entropy: 0.9898, recall: 0.604, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.584, root_relative_squared_error: 1.1764, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5959, kappa: 0.1771, kb_relative_information_score: 45.4854, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5956, predictive_accuracy: 0.6, prior_entropy: 0.9898, recall: 0.6, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6297, root_relative_squared_error: 1.2685, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6693, kappa: 0.3265, kb_relative_information_score: 50.3842, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6697, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0044, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.6481, kappa: 0.2834, kb_relative_information_score: 39.7346, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.649, predictive_accuracy: 0.652, prior_entropy: 0.9898, recall: 0.652, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9358, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.6392, kappa: 0.2666, kb_relative_information_score: 66.2223, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6387, predictive_accuracy: 0.64, prior_entropy: 0.9898, recall: 0.64, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2087, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5991, kappa: 0.1851, kb_relative_information_score: 45.8072, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5985, predictive_accuracy: 0.6, prior_entropy: 0.9898, recall: 0.6, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741, scimark_benchmark: 1537.8552, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8365, kappa: 0.6739, kb_relative_information_score: 139.8545, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6588, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8322, kappa: 0.6681, kb_relative_information_score: 158.6435, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8534, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7226, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.6042, kappa: 0.2185, kb_relative_information_score: 44.6595, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6208, predictive_accuracy: 0.604, prior_entropy: 0.9898, recall: 0.604, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1109, scimark_benchmark: 1840.6094, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5717, kappa: 0.1277, kb_relative_information_score: 18.0672, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.571, predictive_accuracy: 0.576, prior_entropy: 0.9898, recall: 0.576, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0007, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8842, kappa: 0.7658, kb_relative_information_score: 159.4786, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8852, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6329, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.5254, kappa: 0.0411, kb_relative_information_score: 15.9049, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5295, predictive_accuracy: 0.544, prior_entropy: 0.9898, recall: 0.544, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0473, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8437, kappa: 0.6825, kb_relative_information_score: 170.3395, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8288, kappa: 0.6516, kb_relative_information_score: 164.2149, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8394, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7749, kappa: 0.5419, kb_relative_information_score: 135.6338, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7754, predictive_accuracy: 0.776, prior_entropy: 0.9898, recall: 0.776, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.486, kappa: 0.1007, kb_relative_information_score: 45.8072, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7667, predictive_accuracy: 0.6, prior_entropy: 0.9898, recall: 0.6, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.6358, kappa: 0.2606, kb_relative_information_score: 64.1808, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6357, predictive_accuracy: 0.636, prior_entropy: 0.9898, recall: 0.636, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2154, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5811, kappa: 0.1664, kb_relative_information_score: 35.5996, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.592, predictive_accuracy: 0.58, prior_entropy: 0.9898, recall: 0.58, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3056, 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: 0.8219, f_measure: 0.7926, kappa: 0.5812, kb_relative_information_score: 124.9043, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7948, predictive_accuracy: 0.792, prior_entropy: 0.9898, recall: 0.792, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8393, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.752, kappa: 0.4968, kb_relative_information_score: 95.4366, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9898, recall: 0.752, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9046, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6724, kappa: 0.3328, kb_relative_information_score: 51.1391, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6737, predictive_accuracy: 0.676, prior_entropy: 0.9898, recall: 0.676, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.929, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6693, kappa: 0.3265, kb_relative_information_score: 50.3842, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6697, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0044, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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