Task
Supervised Classification on fri_c2_500_25

Supervised Classification on fri_c2_500_25

Task 3743 Supervised Classification fri_c2_500_25 616 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.844, kappa: 0.67, kb_relative_information_score: 282.8956, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8459, predictive_accuracy: 0.846, prior_entropy: 0.9664, recall: 0.846, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6543, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6244, kappa: 0.2066, kb_relative_information_score: 66.8839, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6224, predictive_accuracy: 0.628, prior_entropy: 0.9664, recall: 0.628, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.996, scimark_benchmark: 763.3895, usercpu_time_millis: 4100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 936.3213, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.86, kappa: 0.7038, kb_relative_information_score: 172.0316, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.372, root_relative_squared_error: 0.762, scimark_benchmark: 936.9595, usercpu_time_millis: 7340, usercpu_time_millis_testing: 3090, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8369, kappa: 0.6543, kb_relative_information_score: 171.8609, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8413, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7662, scimark_benchmark: 941.3057, usercpu_time_millis: 3620, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8474, kappa: 0.6768, kb_relative_information_score: 169.3891, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9664, recall: 0.85, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7717, scimark_benchmark: 945.2015, usercpu_time_millis: 1430, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8252, kappa: 0.6298, kb_relative_information_score: 172.1631, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9664, recall: 0.828, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7716, scimark_benchmark: 924.2305, usercpu_time_millis: 670, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7945, kappa: 0.5665, kb_relative_information_score: 158.6909, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7943, predictive_accuracy: 0.796, prior_entropy: 0.9664, recall: 0.796, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8058, scimark_benchmark: 899.1108, usercpu_time_millis: 380, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8612, kappa: 0.7076, kb_relative_information_score: 320.8646, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6549, scimark_benchmark: 929.0296, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8633, kappa: 0.7121, kb_relative_information_score: 324.1034, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8634, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6454, scimark_benchmark: 926.5859, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8775, kappa: 0.742, kb_relative_information_score: 325.0633, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8775, predictive_accuracy: 0.878, prior_entropy: 0.9664, recall: 0.878, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6343, scimark_benchmark: 894.7131, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8648, kappa: 0.7145, kb_relative_information_score: 311.016, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8657, predictive_accuracy: 0.866, prior_entropy: 0.9664, recall: 0.866, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6375, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8509, kappa: 0.6855, kb_relative_information_score: 272.8737, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8513, predictive_accuracy: 0.852, prior_entropy: 0.9664, recall: 0.852, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6942, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.4598, kb_relative_information_score: -0.1272, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4882, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8675, kappa: 0.7211, kb_relative_information_score: 358.9213, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8674, predictive_accuracy: 0.868, prior_entropy: 0.9664, recall: 0.868, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6636, scimark_benchmark: 926.5859, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8523, kappa: 0.6878, kb_relative_information_score: 336.731, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9664, recall: 0.854, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7113, scimark_benchmark: 935.6052, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8229, kappa: 0.6267, kb_relative_information_score: 303.3802, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8228, predictive_accuracy: 0.824, prior_entropy: 0.9664, recall: 0.824, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7752, scimark_benchmark: 940.0055, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7844, kappa: 0.5485, kb_relative_information_score: 259.9002, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7849, predictive_accuracy: 0.784, prior_entropy: 0.9664, recall: 0.784, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.875, scimark_benchmark: 940.0055, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7405, kappa: 0.4644, kb_relative_information_score: 224.2263, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7479, predictive_accuracy: 0.738, prior_entropy: 0.9664, recall: 0.738, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9605, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 80.3424, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8642, kappa: 0.7157, kb_relative_information_score: 337.6057, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7295, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8285, kappa: 0.6378, kb_relative_information_score: 148.9597, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8289, predictive_accuracy: 0.83, prior_entropy: 0.9664, recall: 0.83, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7954, scimark_benchmark: 935.8024, usercpu_time_millis: 1520, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7421, kappa: 0.4592, kb_relative_information_score: 113.4809, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7422, predictive_accuracy: 0.742, prior_entropy: 0.9664, recall: 0.742, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8781, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8401, kappa: 0.6649, kb_relative_information_score: 269.7282, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7408, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8111, kappa: 0.602, kb_relative_information_score: 235.7027, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8108, predictive_accuracy: 0.812, prior_entropy: 0.9664, recall: 0.812, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7259, scimark_benchmark: 919.6941, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8617, kappa: 0.7092, kb_relative_information_score: 300.7786, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8615, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6624, scimark_benchmark: 934.929, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 928.8135, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8284, kappa: 0.6411, kb_relative_information_score: 289.7242, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8291, predictive_accuracy: 0.828, prior_entropy: 0.9664, recall: 0.828, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7248, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.844, kappa: 0.67, kb_relative_information_score: 282.8956, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8459, predictive_accuracy: 0.846, prior_entropy: 0.9664, recall: 0.846, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6543, scimark_benchmark: 922.5036, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6244, kappa: 0.2066, kb_relative_information_score: 66.8839, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6224, predictive_accuracy: 0.628, prior_entropy: 0.9664, recall: 0.628, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.996, scimark_benchmark: 922.5036, usercpu_time_millis: 3980, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8313, kappa: 0.645, kb_relative_information_score: 280.0169, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8311, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7649, scimark_benchmark: 928.8135, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 879.4299, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 1374.9737, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8401, kappa: 0.6649, kb_relative_information_score: 269.7282, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7408, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.844, kappa: 0.67, kb_relative_information_score: 282.8956, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8459, predictive_accuracy: 0.846, prior_entropy: 0.9664, recall: 0.846, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6543, scimark_benchmark: 1337.9552, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6244, kappa: 0.2066, kb_relative_information_score: 66.8839, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6224, predictive_accuracy: 0.628, prior_entropy: 0.9664, recall: 0.628, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.996, scimark_benchmark: 1322.3407, usercpu_time_millis: 5410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8313, kappa: 0.645, kb_relative_information_score: 280.0169, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8311, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7649, scimark_benchmark: 1343.3311, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 1316.6741, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8401, kappa: 0.6649, kb_relative_information_score: 269.7282, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7408, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 1334.863, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8313, kappa: 0.645, kb_relative_information_score: 280.0169, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8311, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7649, scimark_benchmark: 1327.8694, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 1367.3264, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8111, kappa: 0.602, kb_relative_information_score: 235.7027, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8108, predictive_accuracy: 0.812, prior_entropy: 0.9664, recall: 0.812, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7259, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8617, kappa: 0.7092, kb_relative_information_score: 300.7786, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8615, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6624, scimark_benchmark: 1325.3966, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 1354.4815, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6244, kappa: 0.2066, kb_relative_information_score: 66.8839, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6224, predictive_accuracy: 0.628, prior_entropy: 0.9664, recall: 0.628, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.996, scimark_benchmark: 1336.4564, usercpu_time_millis: 2700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 1334.9442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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