OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.765, kappa: 0.5259, kb_relative_information_score: 1511.1475, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8188, scimark_benchmark: 1848.8462, usercpu_time_millis: 1394.846, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1394.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7663, kappa: 0.5286, kb_relative_information_score: 1595.7847, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.828, scimark_benchmark: 1092.344, usercpu_time_millis: 1846.677, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 1846.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1263.072, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 1730.1903, usercpu_time_millis: 1862.626, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1862.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7699, kappa: 0.5357, kb_relative_information_score: 1385.4937, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7706, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8139, scimark_benchmark: 1732.0988, usercpu_time_millis: 1678.952, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1678.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7598, kappa: 0.5154, kb_relative_information_score: 1157.2942, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8251, scimark_benchmark: 1847.8034, usercpu_time_millis: 1705.631, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1705.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7551, kappa: 0.5061, kb_relative_information_score: 1141.6527, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8325, scimark_benchmark: 1857.1082, usercpu_time_millis: 1874.987, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 1874.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8105, kappa: 0.6179, kb_relative_information_score: 2075.403, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1836.3659, usercpu_time_millis: 1593.551, usercpu_time_millis_testing: 3.036, usercpu_time_millis_training: 1590.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7274, kappa: 0.4505, kb_relative_information_score: 1587.6975, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7272, predictive_accuracy: 0.7275, prior_entropy: 0.9948, recall: 0.7275, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.967, scimark_benchmark: 1792.9555, usercpu_time_millis: 1399.221, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1398.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7522, kappa: 0.5002, kb_relative_information_score: 1601.702, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8622, scimark_benchmark: 1850.2875, usercpu_time_millis: 1369.566, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1369.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7719, kappa: 0.54, kb_relative_information_score: 1703.2933, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8058, scimark_benchmark: 1840.3194, usercpu_time_millis: 2063.784, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 2063.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 407.3188, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9309, scimark_benchmark: 1852.2206, usercpu_time_millis: 1492.375, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1491.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7597, kappa: 0.5154, kb_relative_information_score: 1598.3468, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 1778.3042, usercpu_time_millis: 1430.651, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1430.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7902, kappa: 0.5769, kb_relative_information_score: 1913.9031, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7758, scimark_benchmark: 1856.0123, usercpu_time_millis: 1636.517, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 1635.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1421.4641, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1856.0551, usercpu_time_millis: 1963.815, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 1962.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7621, kappa: 0.5201, kb_relative_information_score: 1521.6784, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1851.3287, usercpu_time_millis: 1842.401, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1842.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7752, kappa: 0.5468, kb_relative_information_score: 1728.0041, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1837.936, usercpu_time_millis: 1672.687, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 1671.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1737.0657, usercpu_time_millis: 1793.801, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 1793.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 186.5511, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9656, scimark_benchmark: 1753.8808, usercpu_time_millis: 1976.428, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 1975.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7517, kappa: 0.4992, kb_relative_information_score: 1585.659, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7516, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8648, scimark_benchmark: 1846.1643, usercpu_time_millis: 1995.786, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1995.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7806, kappa: 0.5574, kb_relative_information_score: 1463.0354, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7949, scimark_benchmark: 1791.7468, usercpu_time_millis: 2238.85, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 2237.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7561, kappa: 0.5079, kb_relative_information_score: 1090.3524, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8355, scimark_benchmark: 1854.9533, usercpu_time_millis: 1817.34, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1816.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7591, kappa: 0.5139, kb_relative_information_score: 1266.9731, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8261, scimark_benchmark: 1725.3223, usercpu_time_millis: 2322.465, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2322.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7615, kappa: 0.5186, kb_relative_information_score: 1245.3023, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1733.5771, usercpu_time_millis: 2206.374, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2205.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7628, kappa: 0.5213, kb_relative_information_score: 1352.3565, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 1833.1413, usercpu_time_millis: 2179.402, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2179.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7809, kappa: 0.5581, kb_relative_information_score: 1307.9986, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1857.0384, usercpu_time_millis: 2472.617, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 2471.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 1754.4606, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7475, scimark_benchmark: 1735.6941, usercpu_time_millis: 2518.621, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 2516.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7643, kappa: 0.5245, kb_relative_information_score: 1371.9493, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7649, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8189, scimark_benchmark: 1821.7903, usercpu_time_millis: 2186.633, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2186.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8091, kappa: 0.6149, kb_relative_information_score: 1858.434, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7475, scimark_benchmark: 1853.3841, usercpu_time_millis: 2216.498, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 2215.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.769, kappa: 0.5343, kb_relative_information_score: 1926.4686, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7689, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8835, scimark_benchmark: 1849.9303, usercpu_time_millis: 2178.418, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 2177.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8057, kappa: 0.6082, kb_relative_information_score: 2157.7558, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7852, scimark_benchmark: 1760.5562, usercpu_time_millis: 2378.203, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 2376.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8054, kappa: 0.6076, kb_relative_information_score: 2172.0555, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7848, scimark_benchmark: 1857.5664, usercpu_time_millis: 2613.076, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 2611.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7583, kappa: 0.5124, kb_relative_information_score: 1203.389, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8229, scimark_benchmark: 1854.9533, usercpu_time_millis: 2678.189, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 2677.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1526.9333, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.772, scimark_benchmark: 1826.7195, usercpu_time_millis: 2613.47, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 2611.662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7023, kappa: 0.4008, kb_relative_information_score: 558.261, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9288, scimark_benchmark: 1836.0792, usercpu_time_millis: 1970.331, usercpu_time_millis_testing: 15.166, usercpu_time_millis_training: 1955.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6929, kappa: 0.3828, kb_relative_information_score: 523.3682, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7026, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9382, scimark_benchmark: 1847.7345, usercpu_time_millis: 2372.775, usercpu_time_millis_testing: 14.601, usercpu_time_millis_training: 2358.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6946, kappa: 0.3859, kb_relative_information_score: 527.8994, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7036, predictive_accuracy: 0.7003, prior_entropy: 0.9948, recall: 0.7003, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9373, scimark_benchmark: 1853.9121, usercpu_time_millis: 2329.166, usercpu_time_millis_testing: 15.119, usercpu_time_millis_training: 2314.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7016, kappa: 0.3994, kb_relative_information_score: 548.8533, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.709, predictive_accuracy: 0.7065, prior_entropy: 0.9948, recall: 0.7065, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9329, scimark_benchmark: 1837.6889, usercpu_time_millis: 2443.806, usercpu_time_millis_testing: 17.881, usercpu_time_millis_training: 2425.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6995, kappa: 0.3955, kb_relative_information_score: 541.2449, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1859.1356, usercpu_time_millis: 2173.294, usercpu_time_millis_testing: 14.179, usercpu_time_millis_training: 2159.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6936, kappa: 0.3836, kb_relative_information_score: 525.526, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7017, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9375, scimark_benchmark: 1827.1289, usercpu_time_millis: 2612.095, usercpu_time_millis_testing: 17.745, usercpu_time_millis_training: 2594.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6922, kappa: 0.3808, kb_relative_information_score: 521.0187, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7004, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9394, scimark_benchmark: 1821.0183, usercpu_time_millis: 2377.63, usercpu_time_millis_testing: 14.345, usercpu_time_millis_training: 2363.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6915, kappa: 0.3791, kb_relative_information_score: 530.3038, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6988, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1790.8116, usercpu_time_millis: 2675.606, usercpu_time_millis_testing: 14.615, usercpu_time_millis_training: 2660.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6943, kappa: 0.3846, kb_relative_information_score: 531.6888, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9395, scimark_benchmark: 1856.5802, usercpu_time_millis: 2450.126, usercpu_time_millis_testing: 15.195, usercpu_time_millis_training: 2434.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.704, kappa: 0.4045, kb_relative_information_score: 566.6137, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7123, predictive_accuracy: 0.7091, prior_entropy: 0.9948, recall: 0.7091, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9277, scimark_benchmark: 1744.3518, usercpu_time_millis: 2812.034, usercpu_time_millis_testing: 26.284, usercpu_time_millis_training: 2785.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6871, kappa: 0.3699, kb_relative_information_score: 543.9766, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6932, predictive_accuracy: 0.6918, prior_entropy: 0.9948, recall: 0.6918, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.944, scimark_benchmark: 1873.019, usercpu_time_millis: 2732.18, usercpu_time_millis_testing: 12.584, usercpu_time_millis_training: 2719.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6912, kappa: 0.3785, kb_relative_information_score: 538.5762, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6985, predictive_accuracy: 0.6963, prior_entropy: 0.9948, recall: 0.6963, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1852.5406, usercpu_time_millis: 2732.151, usercpu_time_millis_testing: 14.555, usercpu_time_millis_training: 2717.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6947, kappa: 0.3858, kb_relative_information_score: 534.3983, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7028, predictive_accuracy: 0.7001, prior_entropy: 0.9948, recall: 0.7001, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9355, scimark_benchmark: 1825.1897, usercpu_time_millis: 2891.905, usercpu_time_millis_testing: 21.022, usercpu_time_millis_training: 2870.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7057, kappa: 0.4074, kb_relative_information_score: 572.6185, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7125, predictive_accuracy: 0.7102, prior_entropy: 0.9948, recall: 0.7102, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9272, scimark_benchmark: 1673.4261, usercpu_time_millis: 2991.336, usercpu_time_millis_testing: 26.179, usercpu_time_millis_training: 2965.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6923, kappa: 0.3805, kb_relative_information_score: 538.2825, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.699, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1836.313, usercpu_time_millis: 3362.698, usercpu_time_millis_testing: 21.741, usercpu_time_millis_training: 3340.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7084, kappa: 0.413, kb_relative_information_score: 580.4938, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.716, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9239, scimark_benchmark: 1825.9926, usercpu_time_millis: 3326.908, usercpu_time_millis_testing: 32.801, usercpu_time_millis_training: 3294.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6817, kappa: 0.3584, kb_relative_information_score: 598.9376, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1831.3246, usercpu_time_millis: 3653.675, usercpu_time_millis_testing: 13.669, usercpu_time_millis_training: 3640.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6858, kappa: 0.3671, kb_relative_information_score: 555.2109, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9458, scimark_benchmark: 1859.1356, usercpu_time_millis: 3579.872, usercpu_time_millis_testing: 22.245, usercpu_time_millis_training: 3557.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6768, kappa: 0.3489, kb_relative_information_score: 608.3635, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6815, predictive_accuracy: 0.6812, prior_entropy: 0.9948, recall: 0.6812, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.949, scimark_benchmark: 1825.5608, usercpu_time_millis: 3792.838, usercpu_time_millis_testing: 13.52, usercpu_time_millis_training: 3779.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6777, kappa: 0.3505, kb_relative_information_score: 605.9548, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6823, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9502, scimark_benchmark: 1850.2875, usercpu_time_millis: 3793.839, usercpu_time_millis_testing: 13.925, usercpu_time_millis_training: 3779.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.678, kappa: 0.3511, kb_relative_information_score: 609.7345, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.949, scimark_benchmark: 1960.694, usercpu_time_millis: 3482.042, usercpu_time_millis_testing: 11.557, usercpu_time_millis_training: 3470.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.682, kappa: 0.3593, kb_relative_information_score: 607.2163, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6867, predictive_accuracy: 0.6862, prior_entropy: 0.9948, recall: 0.6862, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1849.8294, usercpu_time_millis: 3688.857, usercpu_time_millis_testing: 13.694, usercpu_time_millis_training: 3675.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6812, kappa: 0.3578, kb_relative_information_score: 606.074, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6864, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493, scimark_benchmark: 1850.2875, usercpu_time_millis: 3678.143, usercpu_time_millis_testing: 12.789, usercpu_time_millis_training: 3665.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6787, kappa: 0.3526, kb_relative_information_score: 605.0673, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6835, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.949, scimark_benchmark: 1710.8661, usercpu_time_millis: 4020.408, usercpu_time_millis_testing: 13.691, usercpu_time_millis_training: 4006.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.679, kappa: 0.3531, kb_relative_information_score: 598.4688, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1815.2315, usercpu_time_millis: 4048.32, usercpu_time_millis_testing: 14.985, usercpu_time_millis_training: 4033.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6744, kappa: 0.3441, kb_relative_information_score: 603.4303, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6795, predictive_accuracy: 0.679, prior_entropy: 0.9948, recall: 0.679, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1823.6356, usercpu_time_millis: 3724.441, usercpu_time_millis_testing: 12.952, usercpu_time_millis_training: 3711.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6783, kappa: 0.3517, kb_relative_information_score: 607.5482, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, scimark_benchmark: 1841.1522, usercpu_time_millis: 3713.928, usercpu_time_millis_testing: 13.442, usercpu_time_millis_training: 3700.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6793, kappa: 0.3537, kb_relative_information_score: 613.9979, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.684, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1819.1664, usercpu_time_millis: 3770.263, usercpu_time_millis_testing: 12.98, usercpu_time_millis_training: 3757.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6755, kappa: 0.3463, kb_relative_information_score: 602.9328, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9501, scimark_benchmark: 1831.2726, usercpu_time_millis: 3847.702, usercpu_time_millis_testing: 13.148, usercpu_time_millis_training: 3834.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6803, kappa: 0.3557, kb_relative_information_score: 609.6936, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6847, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9483, scimark_benchmark: 1837.0676, usercpu_time_millis: 4201.234, usercpu_time_millis_testing: 20.682, usercpu_time_millis_training: 4180.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.68, kappa: 0.3553, kb_relative_information_score: 605.1223, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6849, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9486, scimark_benchmark: 1852.9259, usercpu_time_millis: 4152.198, usercpu_time_millis_testing: 19.643, usercpu_time_millis_training: 4132.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6803, kappa: 0.3559, kb_relative_information_score: 609.817, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6851, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1854.4951, usercpu_time_millis: 4228.662, usercpu_time_millis_testing: 18.99, usercpu_time_millis_training: 4209.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6746, kappa: 0.3445, kb_relative_information_score: 605.0691, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.6793, prior_entropy: 0.9948, recall: 0.6793, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1855.5328, usercpu_time_millis: 4449.33, usercpu_time_millis_testing: 20.626, usercpu_time_millis_training: 4428.704,

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