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: 0.8373, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1346.6968, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.811, scimark_benchmark: 1773.9857, usercpu_time_millis: 4264.938, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 4263.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7865, kappa: 0.5692, kb_relative_information_score: 1482.1604, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1804.8294, usercpu_time_millis: 3064.651, usercpu_time_millis_testing: 2.705, usercpu_time_millis_training: 3061.946,
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: 0.7991, 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: 0.8331, 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: 0.4994, 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: 0.8657, 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: 0.8023, 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: 0.8536, 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: 0.877, 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: 0.8495, 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: 0.4998, 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: 0.876, f_measure: 0.8074, kappa: 0.6114, kb_relative_information_score: 1679.786, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1357.7048, usercpu_time_millis: 6749.122, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 6746.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1640.6112, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1360.3685, usercpu_time_millis: 11144.599, usercpu_time_millis_testing: 7.397, usercpu_time_millis_training: 11137.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.5009, mean_absolute_error: 0.3862, 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: 0.778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1359.037, usercpu_time_millis: 482.695, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 480.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8123, kappa: 0.6216, kb_relative_information_score: 1541.2781, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1362.3437, usercpu_time_millis: 1142.718, usercpu_time_millis_testing: 6.409, usercpu_time_millis_training: 1136.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7848, kappa: 0.5659, kb_relative_information_score: 1438.6317, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884, scimark_benchmark: 1360.97, usercpu_time_millis: 755.229, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 754.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1358.8085, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1359.238, usercpu_time_millis: 513.498, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 512.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7722, kappa: 0.5403, kb_relative_information_score: 1317.1587, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8086, scimark_benchmark: 1355.2277, usercpu_time_millis: 3440.374, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 3437.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1367.9538, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1358.0874, usercpu_time_millis: 462.514, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 461.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1107, 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: 1362.2198, usercpu_time_millis: 10.801, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 8.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7471, kappa: 0.49, kb_relative_information_score: 849.1023, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7471, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8592, scimark_benchmark: 1359.9231, usercpu_time_millis: 70.055, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 67.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7981, kappa: 0.5928, kb_relative_information_score: 1498.6442, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7719, scimark_benchmark: 1349.3283, usercpu_time_millis: 2914.099, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 2909.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7895, kappa: 0.5755, kb_relative_information_score: 1472.9815, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7825, scimark_benchmark: 1362.5026, usercpu_time_millis: 9158.397, usercpu_time_millis_testing: 4.388, usercpu_time_millis_training: 9154.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7462, kappa: 0.4886, kb_relative_information_score: 1177.0108, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8359, scimark_benchmark: 1357.1723, usercpu_time_millis: 417.533, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 416.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7907, kappa: 0.5779, kb_relative_information_score: 1454.1941, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1351.8496, usercpu_time_millis: 4660.883, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 4656.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7436, kappa: 0.4837, kb_relative_information_score: 944.9573, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.854, scimark_benchmark: 1362.3782, usercpu_time_millis: 66.199, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 65.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7883, kappa: 0.5732, kb_relative_information_score: 1476.4931, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1361.0711, usercpu_time_millis: 276.716, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 275.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1510.2997, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699, scimark_benchmark: 1365.7171, usercpu_time_millis: 1781.477, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 1778.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7748, kappa: 0.5456, kb_relative_information_score: 1267.1718, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1360.4436, usercpu_time_millis: 141.163, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 139.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8079, kappa: 0.6124, kb_relative_information_score: 1646.0335, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1365.5521, usercpu_time_millis: 7479.892, usercpu_time_millis_testing: 4.858, usercpu_time_millis_training: 7475.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1732.5628, mean_absolute_error: 0.2825, 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: 0.569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7472, scimark_benchmark: 1361.541, usercpu_time_millis: 4390.18, usercpu_time_millis_testing: 3.427, usercpu_time_millis_training: 4386.753,
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: 0.8548, 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: 0.8628, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1276.7974, mean_absolute_error: 0.3465, 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: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.797, scimark_benchmark: 1372.2228, usercpu_time_millis: 354.695, usercpu_time_millis_testing: 2.425, usercpu_time_millis_training: 352.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1475.9178, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7644, scimark_benchmark: 1352.4833, usercpu_time_millis: 1563.456, usercpu_time_millis_testing: 7.289, usercpu_time_millis_training: 1556.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1378.5936, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.801, scimark_benchmark: 1360.5317, usercpu_time_millis: 1100.677, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 1099.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7635, kappa: 0.5227, kb_relative_information_score: 1296.231, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8176, scimark_benchmark: 1371.8555, usercpu_time_millis: 2162.963, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 2161.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8101, kappa: 0.6171, kb_relative_information_score: 1693.0881, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7479, scimark_benchmark: 1357.4299, usercpu_time_millis: 2796.256, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 2793.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7746, kappa: 0.5452, kb_relative_information_score: 1265.2136, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7761, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8076, scimark_benchmark: 1348.4616, usercpu_time_millis: 1908.958, usercpu_time_millis_testing: 3.198, usercpu_time_millis_training: 1905.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7476, kappa: 0.4906, kb_relative_information_score: 694.5647, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7483, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8852, scimark_benchmark: 1363.4548, usercpu_time_millis: 65.369, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 63.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7726, kappa: 0.5411, kb_relative_information_score: 1268.3916, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1359.213, usercpu_time_millis: 2711.235, usercpu_time_millis_testing: 3.632, usercpu_time_millis_training: 2707.603,
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: 0.8335, 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: 0.8504, 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: 0.883, 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: 0.8336, 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: 0.8441, 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: 0.7788, 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: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0845, 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: 1372.3888, usercpu_time_millis: 7.476, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 5.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7795, kappa: 0.5553, kb_relative_information_score: 1253.2176, mean_absolute_error: 0.3491, 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: 0.7033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8053, scimark_benchmark: 1371.6235, usercpu_time_millis: 246.14, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 244.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 904.7863, mean_absolute_error: 0.3961, 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: 0.7978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8719, scimark_benchmark: 1373.4515, usercpu_time_millis: 276.863, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 274.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0331, 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: 1363.1308, usercpu_time_millis: 5.982, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 4.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7874, kappa: 0.5712, kb_relative_information_score: 1275.6592, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7978, scimark_benchmark: 1359.8431, usercpu_time_millis: 511.948, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 508.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8095, kappa: 0.6159, kb_relative_information_score: 1625.1266, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7522, scimark_benchmark: 1357.5023, usercpu_time_millis: 1991.518, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 1988.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7594, kappa: 0.5149, kb_relative_information_score: 1265.9839, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1370.126, usercpu_time_millis: 2520.486, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 2517.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8107, kappa: 0.6184, kb_relative_information_score: 1620.3984, mean_absolute_error: 0.2995, 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: 0.6034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7486, scimark_benchmark: 1360.1359, usercpu_time_millis: 1924.155, usercpu_time_millis_testing: 7.565, usercpu_time_millis_training: 1916.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1520.596, mean_absolute_error: 0.3136, 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: 0.6317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1365.531, usercpu_time_millis: 1081.344, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 1078.592,
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,
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: 0.8767, 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: 0.7879, 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: 0.8374, 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: 0.4996, 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: 0.4998, 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: 0.8831, 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,

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