Task
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: 0.8234, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 1052.0625, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.417, root_relative_squared_error: 0.837, scimark_benchmark: 1844.1156, usercpu_time_millis: 317.112, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 315.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.799, kappa: 0.5947, kb_relative_information_score: 1434.3171, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.799, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1844.7928, usercpu_time_millis: 507.442, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 505.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1485.1942, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1852.9259, usercpu_time_millis: 684.144, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 682.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7933, kappa: 0.583, kb_relative_information_score: 1453.195, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7775, scimark_benchmark: 1732.9618, usercpu_time_millis: 903.521, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 900.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1581.3625, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7644, scimark_benchmark: 1853.3841, usercpu_time_millis: 941.574, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 940.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7782, kappa: 0.5526, kb_relative_information_score: 1363.4029, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1854.4951, usercpu_time_millis: 1198.72, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 1196.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1723.0244, mean_absolute_error: 0.2831, 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: 0.5702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1841.0071, usercpu_time_millis: 1323.424, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 1322.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8071, kappa: 0.6108, kb_relative_information_score: 1633.2058, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1849.8294, usercpu_time_millis: 1845.193, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 1843.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7801, kappa: 0.5562, kb_relative_information_score: 1373.3749, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8011, scimark_benchmark: 1852.9259, usercpu_time_millis: 2215.615, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 2212.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8015, kappa: 0.5995, kb_relative_information_score: 1566.9817, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1829.5664, usercpu_time_millis: 3537.832, usercpu_time_millis_testing: 4.211, usercpu_time_millis_training: 3533.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1672.2941, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1828.194, usercpu_time_millis: 9706.3, usercpu_time_millis_testing: 4.595, usercpu_time_millis_training: 9701.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0849, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1753.8395, usercpu_time_millis: 5.563, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 4.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1287, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.0108, usercpu_time_millis: 8.319, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 7.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 977.2996, mean_absolute_error: 0.3864, 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: 0.7784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1835.7157, usercpu_time_millis: 92.182, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 91.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1432.7028, mean_absolute_error: 0.3262, 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: 0.6571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.771, scimark_benchmark: 1829.1911, usercpu_time_millis: 150.592, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 148.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.192, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1754.2437, usercpu_time_millis: 5.797, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 4.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7878, kappa: 0.5719, kb_relative_information_score: 1397.8119, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7922, scimark_benchmark: 1850.8185, usercpu_time_millis: 946.372, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 944.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 891.0956, mean_absolute_error: 0.3978, 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: 0.8014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723, scimark_benchmark: 1850.8185, usercpu_time_millis: 279.783, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 278.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 1401.8965, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7949, scimark_benchmark: 1852.3877, usercpu_time_millis: 811.651, usercpu_time_millis_testing: 1.687, usercpu_time_millis_training: 809.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7799, kappa: 0.5558, kb_relative_information_score: 1251.2044, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1843.1261, usercpu_time_millis: 734.219, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 731.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7691, kappa: 0.534, kb_relative_information_score: 1184.9481, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1853.454, usercpu_time_millis: 630.312, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 628.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1311.9546, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7693, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8118, scimark_benchmark: 1853.454, usercpu_time_millis: 676.115, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 675.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8023, kappa: 0.6013, kb_relative_information_score: 1557.4886, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1744.5062, usercpu_time_millis: 2274.555, usercpu_time_millis_testing: 3.992, usercpu_time_millis_training: 2270.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1518.0044, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7667, scimark_benchmark: 1850.8185, usercpu_time_millis: 1966.743, usercpu_time_millis_testing: 4.061, usercpu_time_millis_training: 1962.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7808, kappa: 0.5576, kb_relative_information_score: 1380.7431, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7976, scimark_benchmark: 1749.9416, usercpu_time_millis: 2605.711, usercpu_time_millis_testing: 3.193, usercpu_time_millis_training: 2602.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1592.4242, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7638, scimark_benchmark: 1755.6305, usercpu_time_millis: 3034.985, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 3032.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8073, kappa: 0.6112, kb_relative_information_score: 1672.6968, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1749.6012, usercpu_time_millis: 7760.07, usercpu_time_millis_testing: 4.765, usercpu_time_millis_training: 7755.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7977, kappa: 0.5918, kb_relative_information_score: 1557.5638, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.77, scimark_benchmark: 1729.2563, usercpu_time_millis: 9981.439, usercpu_time_millis_testing: 5.285, usercpu_time_millis_training: 9976.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7902, kappa: 0.5769, kb_relative_information_score: 1503.8508, mean_absolute_error: 0.3142, 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: 0.6329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1759.6844, usercpu_time_millis: 8960.185, usercpu_time_millis_testing: 3.841, usercpu_time_millis_training: 8956.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.7248, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1819.4048, usercpu_time_millis: 4.587, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 3.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7949, kappa: 0.5865, kb_relative_information_score: 1395.213, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7837, scimark_benchmark: 1852.9259, usercpu_time_millis: 542.524, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 540.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8069, kappa: 0.6106, kb_relative_information_score: 1719.4222, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7534, scimark_benchmark: 1804.738, usercpu_time_millis: 1837.478, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 1835.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7714, kappa: 0.5386, kb_relative_information_score: 1312.4349, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7729, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8102, scimark_benchmark: 1821.784, usercpu_time_millis: 864.87, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 863.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8044, kappa: 0.6055, kb_relative_information_score: 1596.8836, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 1848.388, usercpu_time_millis: 1606.469, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 1604.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.6214, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 4.606, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.925,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7412, kappa: 0.4777, kb_relative_information_score: 764.2881, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7418, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.433, root_relative_squared_error: 0.869, scimark_benchmark: 1734.2259, usercpu_time_millis: 21.731, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 20.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7622, kappa: 0.5203, kb_relative_information_score: 931.0868, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8409, scimark_benchmark: 1730.591, usercpu_time_millis: 24.71, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 22.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6907, kappa: 0.3771, kb_relative_information_score: 474.1769, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6967, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9171, scimark_benchmark: 1854.4431, usercpu_time_millis: 24.782, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 22.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6904, kappa: 0.376, kb_relative_information_score: 488.0243, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6948, predictive_accuracy: 0.6942, prior_entropy: 0.9948, recall: 0.6942, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9152, scimark_benchmark: 1730.1903, usercpu_time_millis: 27.429, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 25.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7764, kappa: 0.5489, kb_relative_information_score: 1007.5245, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1857.5664, usercpu_time_millis: 28.378, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 26.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.678, kappa: 0.3614, kb_relative_information_score: 299.1805, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.6921, prior_entropy: 0.9948, recall: 0.6921, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9456, scimark_benchmark: 1848.916, usercpu_time_millis: 29.957, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 26.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6841, kappa: 0.3656, kb_relative_information_score: 418.9831, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.695, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9255, scimark_benchmark: 1727.4447, usercpu_time_millis: 29.624, usercpu_time_millis_testing: 2.592, usercpu_time_millis_training: 27.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.71, kappa: 0.4149, kb_relative_information_score: 588.3027, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7121, prior_entropy: 0.9948, recall: 0.7121, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8979, scimark_benchmark: 1763.5255, usercpu_time_millis: 33.177, usercpu_time_millis_testing: 2.249, usercpu_time_millis_training: 30.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7926, kappa: 0.5817, kb_relative_information_score: 1179.6561, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8019, scimark_benchmark: 1732.8983, usercpu_time_millis: 33.727, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 32.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.759, kappa: 0.514, kb_relative_information_score: 800.2817, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8596, scimark_benchmark: 1764.699, usercpu_time_millis: 36.533, usercpu_time_millis_testing: 2.656, usercpu_time_millis_training: 33.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.745, kappa: 0.4854, kb_relative_information_score: 752.1686, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 1843.1261, usercpu_time_millis: 36.834, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 34.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7671, kappa: 0.5301, kb_relative_information_score: 894.2113, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8452, scimark_benchmark: 1607.9963, usercpu_time_millis: 42.303, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 39.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 773.9883, mean_absolute_error: 0.4127, 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: 0.8314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1843.2356, usercpu_time_millis: 132.755, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 131.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7951, kappa: 0.5867, kb_relative_information_score: 1510.9859, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1850.2875, usercpu_time_millis: 8115.392, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 8111.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.785, kappa: 0.5662, kb_relative_information_score: 1408.31, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931, scimark_benchmark: 1721.4114, usercpu_time_millis: 7958.165, usercpu_time_millis_testing: 5.824, usercpu_time_millis_training: 7952.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7841, kappa: 0.5644, kb_relative_information_score: 1481.7162, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7879, scimark_benchmark: 1759.8039, usercpu_time_millis: 14675.78, usercpu_time_millis_testing: 4.827, usercpu_time_millis_training: 14670.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1628.1205, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7587, scimark_benchmark: 1811.1414, usercpu_time_millis: 11648.348, usercpu_time_millis_testing: 5.589, usercpu_time_millis_training: 11642.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7659, kappa: 0.5277, kb_relative_information_score: 1167.1038, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8212, scimark_benchmark: 1831.6587, usercpu_time_millis: 869.557, usercpu_time_millis_testing: 2.173, usercpu_time_millis_training: 867.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.775, kappa: 0.5461, kb_relative_information_score: 1373.9049, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7756, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1760.7836, usercpu_time_millis: 1044.248, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 1042.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1559.7857, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1720.4927, usercpu_time_millis: 1658.753, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 1656.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1619.62, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1834.8148, usercpu_time_millis: 1693.512, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 1691.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1601.585, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7619, scimark_benchmark: 2152.6173, usercpu_time_millis: 1700.417, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 1699.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 1626.7279, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1831.6587, usercpu_time_millis: 2068.386, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 2065.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7863, kappa: 0.5689, kb_relative_information_score: 1487.2603, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847, scimark_benchmark: 1799.4875, usercpu_time_millis: 2968.77, usercpu_time_millis_testing: 2.028, usercpu_time_millis_training: 2966.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7974, kappa: 0.5913, kb_relative_information_score: 1550.472, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1805.7197, usercpu_time_millis: 2691.858, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 2689.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7983, kappa: 0.5933, kb_relative_information_score: 1555.2717, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1068.5446, usercpu_time_millis: 3806.779, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 3804.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.1154, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1770.0933, usercpu_time_millis: 9.892, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 8.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0773, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1832.2454, usercpu_time_millis: 9.223, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 7.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7721, kappa: 0.5402, kb_relative_information_score: 1309.7118, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119, scimark_benchmark: 1828.7666, usercpu_time_millis: 81.957, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 81.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7577, kappa: 0.5113, kb_relative_information_score: 1157.5145, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8281, scimark_benchmark: 1065.1232, usercpu_time_millis: 230.32, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 228.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.807, kappa: 0.6107, kb_relative_information_score: 1455.939, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7702, scimark_benchmark: 1762.2244, usercpu_time_millis: 407.247, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 405.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1599.9593, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7638, scimark_benchmark: 1815.0043, usercpu_time_millis: 424.663, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 423.282,

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