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: 0.7944, f_measure: 0.7355, kappa: 0.4676, kb_relative_information_score: 596.0276, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9007, scimark_benchmark: 1360.316, usercpu_time_millis: 167.67, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 165.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0567, 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: 1362.0169, usercpu_time_millis: 9.269, usercpu_time_millis_testing: 1.753, usercpu_time_millis_training: 7.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7928, kappa: 0.5821, kb_relative_information_score: 1433.4284, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796, scimark_benchmark: 1360.4077, usercpu_time_millis: 1819.084, usercpu_time_millis_testing: 3.57, usercpu_time_millis_training: 1815.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7796, kappa: 0.5555, kb_relative_information_score: 1114.8183, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8178, scimark_benchmark: 1358.7369, usercpu_time_millis: 48.667, usercpu_time_millis_testing: 1.707, usercpu_time_millis_training: 46.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1690.5101, mean_absolute_error: 0.2886, 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: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525, scimark_benchmark: 1360.5723, usercpu_time_millis: 16338.773, usercpu_time_millis_testing: 6.52, usercpu_time_millis_training: 16332.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7919, kappa: 0.5803, kb_relative_information_score: 1525.1198, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7792, scimark_benchmark: 1353.0352, usercpu_time_millis: 51.659, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 50.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7925, kappa: 0.5815, kb_relative_information_score: 1499.2298, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1360.7474, usercpu_time_millis: 205.53, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 204.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7565, kappa: 0.5089, kb_relative_information_score: 1197.6105, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1364.7243, usercpu_time_millis: 1433.894, usercpu_time_millis_testing: 2.933, usercpu_time_millis_training: 1430.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7857, kappa: 0.5679, kb_relative_information_score: 1194.6264, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8074, scimark_benchmark: 1358.1684, usercpu_time_millis: 601.896, usercpu_time_millis_testing: 4.458, usercpu_time_millis_training: 597.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7325, kappa: 0.4617, kb_relative_information_score: 1424.3245, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7329, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8695, scimark_benchmark: 1360.5719, usercpu_time_millis: 24.279, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 23.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7966, kappa: 0.5896, kb_relative_information_score: 1485.8301, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7741, scimark_benchmark: 1360.3698, usercpu_time_millis: 4142.553, usercpu_time_millis_testing: 4.307, usercpu_time_millis_training: 4138.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7929, kappa: 0.5821, kb_relative_information_score: 1555.8866, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.775, scimark_benchmark: 1359.6193, usercpu_time_millis: 13734.54, usercpu_time_millis_testing: 4.281, usercpu_time_millis_training: 13730.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0819, 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: 1359.1514, usercpu_time_millis: 7.384, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 6.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7714, kappa: 0.5389, kb_relative_information_score: 1245.5384, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7718, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1349.6456, usercpu_time_millis: 956.687, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 954.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7371, kappa: 0.4711, kb_relative_information_score: 823.7247, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.872, scimark_benchmark: 1359.5839, usercpu_time_millis: 107.04, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 105.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7851, kappa: 0.5665, kb_relative_information_score: 1459.8289, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7871, scimark_benchmark: 1362.1894, usercpu_time_millis: 7617.175, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 7613.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.088, 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: 1363.0152, usercpu_time_millis: 9.645, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 7.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1691.2312, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.758, scimark_benchmark: 1358.4709, usercpu_time_millis: 10734.151, usercpu_time_millis_testing: 3.049, usercpu_time_millis_training: 10731.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1228, 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: 1360.5318, usercpu_time_millis: 9.914, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 8.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7999, kappa: 0.5965, kb_relative_information_score: 1509.0721, mean_absolute_error: 0.3144, 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: 0.6334, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1358.6297, usercpu_time_millis: 3184.084, usercpu_time_millis_testing: 4.172, usercpu_time_millis_training: 3179.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8113, kappa: 0.6194, kb_relative_information_score: 1664.9966, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7456, scimark_benchmark: 1362.5459, usercpu_time_millis: 1940.412, usercpu_time_millis_testing: 5.109, usercpu_time_millis_training: 1935.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7054, kappa: 0.4062, kb_relative_information_score: 375.7578, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9337, scimark_benchmark: 1360.1008, usercpu_time_millis: 31.254, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 29.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1326, 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: 1360.152, usercpu_time_millis: 10.481, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 8.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7791, kappa: 0.5543, kb_relative_information_score: 1359.953, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8026, scimark_benchmark: 1361.6312, usercpu_time_millis: 4370.419, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 4367.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1347, 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: 1360.7487, usercpu_time_millis: 9.627, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 8.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7599, kappa: 0.5155, kb_relative_information_score: 1331.7014, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8119, scimark_benchmark: 1356.8509, usercpu_time_millis: 1989.194, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 1987.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7689, kappa: 0.534, kb_relative_information_score: 1300.0257, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152, scimark_benchmark: 1359.2615, usercpu_time_millis: 2514.431, usercpu_time_millis_testing: 3.803, usercpu_time_millis_training: 2510.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.1514, mean_absolute_error: 0.3863, 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: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8777, scimark_benchmark: 1361.8531, usercpu_time_millis: 483.56, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 481.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1676.3978, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7452, scimark_benchmark: 1361.5681, usercpu_time_millis: 872.861, usercpu_time_millis_testing: 2.654, usercpu_time_millis_training: 870.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8067, kappa: 0.6103, kb_relative_information_score: 1433.8744, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7687, scimark_benchmark: 1359.5604, usercpu_time_millis: 932.219, usercpu_time_millis_testing: 6.091, usercpu_time_millis_training: 926.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7841, kappa: 0.5646, kb_relative_information_score: 1422.5974, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1363.8464, usercpu_time_millis: 1760.093, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 1758.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7546, kappa: 0.5048, kb_relative_information_score: 1312.4323, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8166, scimark_benchmark: 1357.8287, usercpu_time_millis: 6282.257, usercpu_time_millis_testing: 2.709, usercpu_time_millis_training: 6279.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1578.123, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7614, scimark_benchmark: 1358.8357, usercpu_time_millis: 6268.866, usercpu_time_millis_testing: 5.096, usercpu_time_millis_training: 6263.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7862, kappa: 0.5688, kb_relative_information_score: 1335.4326, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7865, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1359.9596, usercpu_time_millis: 687.012, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 684.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7777, kappa: 0.5517, kb_relative_information_score: 1072.5117, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1363.4823, usercpu_time_millis: 103.072, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 100.837,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1013, 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: 1349.4456, usercpu_time_millis: 10.247, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 8.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7457, kappa: 0.4869, kb_relative_information_score: 810.3088, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.748, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8675, scimark_benchmark: 1361.8226, usercpu_time_millis: 260.108, usercpu_time_millis_testing: 2.277, usercpu_time_millis_training: 257.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7414, kappa: 0.4788, kb_relative_information_score: 809.3542, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1346.8118, usercpu_time_millis: 27.983, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 26.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1456, 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: 1355.5581, usercpu_time_millis: 7.086, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 5.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1717.071, mean_absolute_error: 0.2846, 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: 0.5732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7501, scimark_benchmark: 1359.0426, usercpu_time_millis: 649.651, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 648.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8112, kappa: 0.6192, kb_relative_information_score: 1641.3328, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7512, scimark_benchmark: 1356.2072, usercpu_time_millis: 8482.996, usercpu_time_millis_testing: 6.918, usercpu_time_millis_training: 8476.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.387, 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: 1363.3669, usercpu_time_millis: 6.171, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 5.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.807, kappa: 0.611, kb_relative_information_score: 1745.7414, mean_absolute_error: 0.2802, 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: 0.5644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7467, scimark_benchmark: 1345.256, usercpu_time_millis: 7713.196, usercpu_time_millis_testing: 7.503, usercpu_time_millis_training: 7705.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7935, kappa: 0.5835, kb_relative_information_score: 1396.2598, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7937, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1359.4849, usercpu_time_millis: 402.996, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 401.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1540.4548, mean_absolute_error: 0.3098, 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: 0.6241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7724, scimark_benchmark: 1365.8628, usercpu_time_millis: 9070.568, usercpu_time_millis_testing: 3.97, usercpu_time_millis_training: 9066.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.794, kappa: 0.5843, kb_relative_information_score: 1561.496, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7738, scimark_benchmark: 1370.1502, usercpu_time_millis: 10122.186, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 10118.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7727, kappa: 0.5413, kb_relative_information_score: 1171.8761, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1369.3354, usercpu_time_millis: 1279.632, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 1276.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7754, kappa: 0.5467, kb_relative_information_score: 1312.8632, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1361.2508, usercpu_time_millis: 2416.947, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 2414.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7703, kappa: 0.5366, kb_relative_information_score: 1339.9315, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7718, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1353.4256, usercpu_time_millis: 3487.468, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 3485.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7547, kappa: 0.5054, kb_relative_information_score: 1190.8313, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379, scimark_benchmark: 1359.7294, usercpu_time_millis: 619.167, usercpu_time_millis_testing: 1.698, usercpu_time_millis_training: 617.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7764, kappa: 0.5491, kb_relative_information_score: 1356.4935, mean_absolute_error: 0.3342, 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: 0.6731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1359.7853, usercpu_time_millis: 3376.139, usercpu_time_millis_testing: 3.942, usercpu_time_millis_training: 3372.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7878, kappa: 0.5719, kb_relative_information_score: 1518.8233, mean_absolute_error: 0.3114, 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: 0.6272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.782, scimark_benchmark: 1360.7228, usercpu_time_millis: 1319.354, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 1317.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7808, kappa: 0.5577, kb_relative_information_score: 1342.5086, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1367.3031, usercpu_time_millis: 3074.871, usercpu_time_millis_testing: 2.648, usercpu_time_millis_training: 3072.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.2347, 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: 1353.7311, usercpu_time_millis: 5.596, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 4.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8027, kappa: 0.6019, kb_relative_information_score: 1626.2875, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1359.3476, usercpu_time_millis: 2364.739, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 2363.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7992, kappa: 0.595, kb_relative_information_score: 1516.5177, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1359.898, usercpu_time_millis: 6379.324, usercpu_time_millis_testing: 5.566, usercpu_time_millis_training: 6373.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8114, kappa: 0.6197, kb_relative_information_score: 1529.3006, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7567, scimark_benchmark: 1360.8964, usercpu_time_millis: 596.059, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 592.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7563, kappa: 0.5084, kb_relative_information_score: 1179.4808, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8368, scimark_benchmark: 1360.8141, usercpu_time_millis: 1081.328, usercpu_time_millis_testing: 2.062, usercpu_time_millis_training: 1079.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7723, kappa: 0.5405, kb_relative_information_score: 1218.541, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7735, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8132, scimark_benchmark: 1364.3248, usercpu_time_millis: 2072.88, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 2069.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1348.6333, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1361.8892, usercpu_time_millis: 1732.273, usercpu_time_millis_testing: 2.954, usercpu_time_millis_training: 1729.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8066, kappa: 0.6099, kb_relative_information_score: 1572.3496, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1362.951, usercpu_time_millis: 1053.834, usercpu_time_millis_testing: 1.819, usercpu_time_millis_training: 1052.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8126, kappa: 0.6221, kb_relative_information_score: 1611.3781, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8126, predictive_accuracy: 0.8129, prior_entropy: 0.9948, recall: 0.8129, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1370.845, usercpu_time_millis: 184.466, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 182.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 1685.3682, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7451, scimark_benchmark: 1361.2844, usercpu_time_millis: 1315.547, usercpu_time_millis_testing: 3.338, usercpu_time_millis_training: 1312.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7964, kappa: 0.5894, kb_relative_information_score: 1380.1334, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1361.1261, usercpu_time_millis: 1532.935, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 1530.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7505, kappa: 0.4969, kb_relative_information_score: 1194.7354, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434, scimark_benchmark: 1361.125, usercpu_time_millis: 1659.667, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 1657.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.735, kappa: 0.4654, kb_relative_information_score: 599.4092, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.735, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 1362.4633, usercpu_time_millis: 88.097, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 86.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7464, kappa: 0.4892, kb_relative_information_score: 1200.8631, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8354, scimark_benchmark: 1359.0767, usercpu_time_millis: 1764.455, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 1762.328,

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