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: 0.8786, f_measure: 0.8098, kappa: 0.6163, kb_relative_information_score: 1681.2254, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7506, scimark_benchmark: 1849.8294, usercpu_time_millis: 4782.997, usercpu_time_millis_testing: 3.98, usercpu_time_millis_training: 4779.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1586.6277, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7636, scimark_benchmark: 1807.9963, usercpu_time_millis: 4425.202, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 4422.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8106, kappa: 0.618, kb_relative_information_score: 1661.2006, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7492, scimark_benchmark: 1740.9375, usercpu_time_millis: 2417.509, usercpu_time_millis_testing: 3.586, usercpu_time_millis_training: 2413.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7912, kappa: 0.5789, kb_relative_information_score: 1470.3198, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1733.3606, usercpu_time_millis: 2032.951, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 2031.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.809, kappa: 0.6146, kb_relative_information_score: 1659.8051, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1850.8185, usercpu_time_millis: 1530.645, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 1529.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1196.8084, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8293, scimark_benchmark: 1850.2875, usercpu_time_millis: 1318.055, usercpu_time_millis_testing: 1.961, usercpu_time_millis_training: 1316.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7942, kappa: 0.5848, kb_relative_information_score: 1493.7177, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1839.8992, usercpu_time_millis: 1266.182, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 1264.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1729.8061, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7475, scimark_benchmark: 1815.4551, usercpu_time_millis: 1217.262, usercpu_time_millis_testing: 1.795, usercpu_time_millis_training: 1215.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8077, kappa: 0.6121, kb_relative_information_score: 1699.4823, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7548, scimark_benchmark: 1849.8294, usercpu_time_millis: 1200.528, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 1199.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7868, kappa: 0.5699, kb_relative_information_score: 1346.3943, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7874, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7938, scimark_benchmark: 1735.5975, usercpu_time_millis: 1196.096, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 1192.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7961, kappa: 0.5887, kb_relative_information_score: 1474.9762, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1735.1328, usercpu_time_millis: 1070.782, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 1068.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7558, kappa: 0.5072, kb_relative_information_score: 1184.0111, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.836, scimark_benchmark: 1734.7321, usercpu_time_millis: 735.43, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 733.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7913, kappa: 0.5792, kb_relative_information_score: 1329.2762, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7892, scimark_benchmark: 1835.837, usercpu_time_millis: 252.911, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 250.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1585.2414, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1829.8142, usercpu_time_millis: 184.962, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 184.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1262.9337, mean_absolute_error: 0.3482, 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: 0.7015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8012, scimark_benchmark: 1853.9849, usercpu_time_millis: 111.433, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 109.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7301, kappa: 0.4553, kb_relative_information_score: 689.1155, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7305, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8848, scimark_benchmark: 1849.447, usercpu_time_millis: 63.349, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 61.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.6498, 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: 1840.2202, usercpu_time_millis: 4.545, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 3.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1045, 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: 1851.3986, usercpu_time_millis: 7.936, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 6.808,
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: 0.876, 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: 0.8603, 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: 0.8767, 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: 0.8705, 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: 0.848, 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: 0.8718, 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: 0.8526, 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: 0.8497, 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: 0.8374, 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: 0.8392, 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: 0.7952, 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: 0.8737, 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: 0.7911, 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: 0.4995, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7727, kappa: 0.5415, kb_relative_information_score: 1252.0615, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8153, scimark_benchmark: 1844.1277, usercpu_time_millis: 694.634, usercpu_time_millis_testing: 2.531, usercpu_time_millis_training: 692.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7773, kappa: 0.5508, kb_relative_information_score: 1268.5378, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7777, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8074, scimark_benchmark: 1817.4275, usercpu_time_millis: 565.732, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 562.914,
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: 0.4998, 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: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.1328, 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: 1841.7343, usercpu_time_millis: 4.293, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.653,
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,
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: 0.879, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1750.3808, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7486, scimark_benchmark: 1010.7828, usercpu_time_millis: 4787.064, usercpu_time_millis_testing: 4.332, usercpu_time_millis_training: 4782.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.774, kappa: 0.5441, kb_relative_information_score: 1246.4756, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8142, scimark_benchmark: 1844.8764, usercpu_time_millis: 1463.36, usercpu_time_millis_testing: 2.344, usercpu_time_millis_training: 1461.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7653, kappa: 0.5263, kb_relative_information_score: 1212.9265, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1847.4089, usercpu_time_millis: 1368.716, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 1366.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7692, kappa: 0.5343, kb_relative_information_score: 1182.8443, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7697, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173, scimark_benchmark: 1952.2441, usercpu_time_millis: 321.614, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 319.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7856, kappa: 0.5674, kb_relative_information_score: 1206.769, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1844.2676, usercpu_time_millis: 303.086, usercpu_time_millis_testing: 2.549, usercpu_time_millis_training: 300.537,
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: 0.8457, 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: 0.841, 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: 0.8657, 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: 0.7903, 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: 0.7905, 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: 0.8535, 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: 0.7854, 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: 0.8442, 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: 0.848, f_measure: 0.7699, kappa: 0.5357, kb_relative_information_score: 929.2007, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7701, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8399, scimark_benchmark: 1718.6558, usercpu_time_millis: 22.99, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 21.229,
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: 0.7883, f_measure: 0.6942, kappa: 0.3836, kb_relative_information_score: 485.9072, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6987, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9152, scimark_benchmark: 1760.6511, usercpu_time_millis: 21.08, usercpu_time_millis_testing: 1.707, usercpu_time_millis_training: 19.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7382, kappa: 0.4718, kb_relative_information_score: 743.5382, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707, scimark_benchmark: 1735.6514, usercpu_time_millis: 16.138, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 14.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7893, kappa: 0.5754, kb_relative_information_score: 1112.4343, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.812, scimark_benchmark: 1736.0521, usercpu_time_millis: 14.489, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 13.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7573, kappa: 0.5102, kb_relative_information_score: 903.8725, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8486, scimark_benchmark: 1843.1699, usercpu_time_millis: 9.143, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 8.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6474, kappa: 0.3108, kb_relative_information_score: 248.0062, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6957, predictive_accuracy: 0.6702, prior_entropy: 0.9948, recall: 0.6702, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.955, scimark_benchmark: 1735.846, usercpu_time_millis: 12.639, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 11.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6968, kappa: 0.3891, kb_relative_information_score: 506.57, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7021, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9111, scimark_benchmark: 1853.3841, usercpu_time_millis: 9.885, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 8.997,

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