Task
Supervised Classification on colleges_usnews

Supervised Classification on colleges_usnews

Task 3793 Supervised Classification colleges_usnews 104 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7042, kappa: 0.4108, kb_relative_information_score: 316.1809, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7094, predictive_accuracy: 0.7043, prior_entropy: 0.9977, recall: 0.7043, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7261, kappa: 0.4664, kb_relative_information_score: 585.4287, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7551, predictive_accuracy: 0.7296, prior_entropy: 0.9977, recall: 0.7296, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.3828, kappa: 0.0494, kb_relative_information_score: 50.276, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6288, predictive_accuracy: 0.5008, prior_entropy: 0.9977, recall: 0.5008, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7357, kappa: 0.4692, kb_relative_information_score: 434.7784, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7367, predictive_accuracy: 0.7366, prior_entropy: 0.9977, recall: 0.7366, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7242, kappa: 0.4615, kb_relative_information_score: 483.2908, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7504, predictive_accuracy: 0.7273, prior_entropy: 0.9977, recall: 0.7273, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6785, kappa: 0.3561, kb_relative_information_score: 253.6527, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6839, predictive_accuracy: 0.682, prior_entropy: 0.9977, recall: 0.682, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6883, kappa: 0.3941, kb_relative_information_score: 247.6521, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7174, predictive_accuracy: 0.6928, prior_entropy: 0.9977, recall: 0.6928, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7003, kappa: 0.4034, kb_relative_information_score: 487.0545, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.706, predictive_accuracy: 0.7005, prior_entropy: 0.9977, recall: 0.7005, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6483, kappa: 0.2943, kb_relative_information_score: 370.058, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6483, predictive_accuracy: 0.6482, prior_entropy: 0.9977, recall: 0.6482, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6592, kappa: 0.3168, kb_relative_information_score: 383.8018, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6596, predictive_accuracy: 0.659, prior_entropy: 0.9977, recall: 0.659, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7098, kappa: 0.4323, kb_relative_information_score: 529.1631, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7332, predictive_accuracy: 0.7128, prior_entropy: 0.9977, recall: 0.7128, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.6682, kappa: 0.3365, kb_relative_information_score: 307.4684, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6754, predictive_accuracy: 0.6728, prior_entropy: 0.9977, recall: 0.6728, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7035, kappa: 0.4202, kb_relative_information_score: 487.3851, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7272, predictive_accuracy: 0.7066, prior_entropy: 0.9977, recall: 0.7066, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7321, kappa: 0.4628, kb_relative_information_score: 586.9534, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7323, predictive_accuracy: 0.732, prior_entropy: 0.9977, recall: 0.732, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6975, kappa: 0.4079, kb_relative_information_score: 290.2826, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7198, predictive_accuracy: 0.7005, prior_entropy: 0.9977, recall: 0.7005, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7024, kappa: 0.4025, kb_relative_information_score: 175.693, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7024, predictive_accuracy: 0.7028, prior_entropy: 0.9977, recall: 0.7028, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.3654, kb_relative_information_score: -0.0127, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6688, kappa: 0.335, kb_relative_information_score: 348.8265, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6692, predictive_accuracy: 0.6697, prior_entropy: 0.9977, recall: 0.6697, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6789, kappa: 0.3619, kb_relative_information_score: 350.5948, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6953, predictive_accuracy: 0.6866, prior_entropy: 0.9977, recall: 0.6866, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6646, kappa: 0.3283, kb_relative_information_score: 362.082, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6655, predictive_accuracy: 0.6644, prior_entropy: 0.9977, recall: 0.6644, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7127, kappa: 0.4233, kb_relative_information_score: 556.4728, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7126, predictive_accuracy: 0.7128, prior_entropy: 0.9977, recall: 0.7128, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6883, kappa: 0.3941, kb_relative_information_score: 275.092, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7174, predictive_accuracy: 0.6928, prior_entropy: 0.9977, recall: 0.6928, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.6972, kappa: 0.419, kb_relative_information_score: 527.8466, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7422, predictive_accuracy: 0.7043, prior_entropy: 0.9977, recall: 0.7043, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6961, kappa: 0.3911, kb_relative_information_score: 506.2985, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6969, predictive_accuracy: 0.6959, prior_entropy: 0.9977, recall: 0.6959, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7214, kappa: 0.4419, kb_relative_information_score: 572.6062, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7222, predictive_accuracy: 0.7212, prior_entropy: 0.9977, recall: 0.7212, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7375, kappa: 0.4741, kb_relative_information_score: 305.9814, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7383, predictive_accuracy: 0.7373, prior_entropy: 0.9977, recall: 0.7373, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7222, kappa: 0.4433, kb_relative_information_score: 574.6155, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7229, predictive_accuracy: 0.722, prior_entropy: 0.9977, recall: 0.722, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7327, kappa: 0.4734, kb_relative_information_score: 600.5504, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7495, predictive_accuracy: 0.7343, prior_entropy: 0.9977, recall: 0.7343, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7192, kappa: 0.4504, kb_relative_information_score: 553.102, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7425, predictive_accuracy: 0.722, prior_entropy: 0.9977, recall: 0.722, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.724, kappa: 0.4616, kb_relative_information_score: 576.5669, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7513, predictive_accuracy: 0.7273, prior_entropy: 0.9977, recall: 0.7273, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6586, kappa: 0.353, kb_relative_information_score: 259.4002, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7142, predictive_accuracy: 0.6697, prior_entropy: 0.9977, recall: 0.6697, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7154, kappa: 0.4472, kb_relative_information_score: 569.442, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7473, predictive_accuracy: 0.7197, prior_entropy: 0.9977, recall: 0.7197, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5755, kappa: 0.1477, kb_relative_information_score: 192.844, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.5753, predictive_accuracy: 0.576, prior_entropy: 0.9977, recall: 0.576, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6511, root_relative_squared_error: 1.3044, scimark_benchmark: 1280.301, usercpu_time_millis: 72218.75, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 72078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.561, kappa: 0.12, kb_relative_information_score: 152.6575, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.5615, predictive_accuracy: 0.5607, prior_entropy: 0.9977, recall: 0.5607, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6628, root_relative_squared_error: 1.3278, scimark_benchmark: 1280.301, usercpu_time_millis: 86453.125, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 86343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3654, kb_relative_information_score: 68.2659, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3757, scimark_benchmark: 1461.2356, usercpu_time_millis: 1375, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3654, kb_relative_information_score: 68.2659, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3757, scimark_benchmark: 1461.2356, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 296.875, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7189, kappa: 0.4395, kb_relative_information_score: 428.3073, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7234, predictive_accuracy: 0.7189, prior_entropy: 0.9977, recall: 0.7189, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9281, scimark_benchmark: 1787.9841, usercpu_time_millis: 14906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7189, kappa: 0.4395, kb_relative_information_score: 428.3073, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7234, predictive_accuracy: 0.7189, prior_entropy: 0.9977, recall: 0.7189, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9281, scimark_benchmark: 1610.0226, usercpu_time_millis: 15620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3654, kb_relative_information_score: 68.2659, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3757, scimark_benchmark: 1394.221, usercpu_time_millis: 820, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3654, kb_relative_information_score: 68.2659, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3757, scimark_benchmark: 1376.2872, usercpu_time_millis: 1830, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5755, kappa: 0.1477, kb_relative_information_score: 192.844, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.5753, predictive_accuracy: 0.576, prior_entropy: 0.9977, recall: 0.576, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6511, root_relative_squared_error: 1.3044, scimark_benchmark: 1663.5331, usercpu_time_millis: 81330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 81170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7168, kappa: 0.4341, kb_relative_information_score: 563.6635, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7195, predictive_accuracy: 0.7166, prior_entropy: 0.9977, recall: 0.7166, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0257, scimark_benchmark: 1671.2677, usercpu_time_millis: 17484.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 17468.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7235, kappa: 0.4452, kb_relative_information_score: 466.1703, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7235, predictive_accuracy: 0.7235, prior_entropy: 0.9977, recall: 0.7235, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554, scimark_benchmark: 1360.8842, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5984, kappa: 0.1951, kb_relative_information_score: 260.8331, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.601, predictive_accuracy: 0.6022, prior_entropy: 0.9977, recall: 0.6022, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.2625, scimark_benchmark: 1330.0176, usercpu_time_millis: 680, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7145, kappa: 0.4286, kb_relative_information_score: 443.0665, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.716, predictive_accuracy: 0.7143, prior_entropy: 0.9977, recall: 0.7143, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8687, scimark_benchmark: 1064.9954, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7321, kappa: 0.4627, kb_relative_information_score: 600.7367, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7323, predictive_accuracy: 0.732, prior_entropy: 0.9977, recall: 0.732, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0371, scimark_benchmark: 1618.1738, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7275, kappa: 0.4536, kb_relative_information_score: 588.6807, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7278, predictive_accuracy: 0.7273, prior_entropy: 0.9977, recall: 0.7273, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.046, scimark_benchmark: 1618.1738, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7278, kappa: 0.4694, kb_relative_information_score: 587.0885, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7562, predictive_accuracy: 0.7312, prior_entropy: 0.9977, recall: 0.7312, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9957, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7068, kappa: 0.4127, kb_relative_information_score: 365.1121, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7077, predictive_accuracy: 0.7066, prior_entropy: 0.9977, recall: 0.7066, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9476, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7179, kappa: 0.4516, kb_relative_information_score: 570.6934, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.749, predictive_accuracy: 0.722, prior_entropy: 0.9977, recall: 0.722, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0077, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7336, kappa: 0.4657, kb_relative_information_score: 604.7553, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7337, predictive_accuracy: 0.7335, prior_entropy: 0.9977, recall: 0.7335, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0342, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7275, kappa: 0.4536, kb_relative_information_score: 588.6807, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7278, predictive_accuracy: 0.7273, prior_entropy: 0.9977, recall: 0.7273, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.046, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7279, kappa: 0.4585, kb_relative_information_score: 439.5293, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7342, predictive_accuracy: 0.7281, prior_entropy: 0.9977, recall: 0.7281, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9024, scimark_benchmark: 1925.3565, usercpu_time_millis: 1359.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1343.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7004, kappa: 0.4032, kb_relative_information_score: 281.059, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7056, predictive_accuracy: 0.7005, prior_entropy: 0.9977, recall: 0.7005, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9136, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3654, kb_relative_information_score: -1.4744, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.2792, predictive_accuracy: 0.5284, prior_entropy: 0.9977, recall: 0.5284, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0021, scimark_benchmark: 1788.6668, usercpu_time_millis: 29828.125, usercpu_time_millis_testing: 3875, usercpu_time_millis_training: 25953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5883, kappa: 0.1952, kb_relative_information_score: 263.1729, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6159, predictive_accuracy: 0.6075, prior_entropy: 0.9977, recall: 0.6075, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6085, root_relative_squared_error: 1.2189, scimark_benchmark: 1788.6668, usercpu_time_millis: 2812.5, usercpu_time_millis_training: 2812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7007, kappa: 0.4, kb_relative_information_score: 518.3544, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7012, predictive_accuracy: 0.7005, prior_entropy: 0.9977, recall: 0.7005, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0964, scimark_benchmark: 1788.6668, usercpu_time_millis: 2250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7328, kappa: 0.4642, kb_relative_information_score: 602.746, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.733, predictive_accuracy: 0.7327, prior_entropy: 0.9977, recall: 0.7327, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0357, scimark_benchmark: 1515.0272, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6991, kappa: 0.3984, kb_relative_information_score: 296.6274, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7013, predictive_accuracy: 0.6989, prior_entropy: 0.9977, recall: 0.6989, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9162, scimark_benchmark: 1083.1785, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.7026, kappa: 0.403, kb_relative_information_score: 524.3824, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7025, predictive_accuracy: 0.7028, prior_entropy: 0.9977, recall: 0.7028, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0922, scimark_benchmark: 1860.4354, usercpu_time_millis: 1578.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.711, kappa: 0.4197, kb_relative_information_score: 548.4943, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7119, predictive_accuracy: 0.712, prior_entropy: 0.9977, recall: 0.712, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0751, scimark_benchmark: 1860.4354, usercpu_time_millis: 1593.75, usercpu_time_millis_training: 1593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7016, kappa: 0.4101, kb_relative_information_score: 444.4225, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7137, predictive_accuracy: 0.7028, prior_entropy: 0.9977, recall: 0.7028, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.946, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7154, kappa: 0.4472, kb_relative_information_score: 569.442, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7473, predictive_accuracy: 0.7197, prior_entropy: 0.9977, recall: 0.7197, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.009, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6938, kappa: 0.3922, kb_relative_information_score: 431.8186, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7021, predictive_accuracy: 0.6943, prior_entropy: 0.9977, recall: 0.6943, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9522, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7261, kappa: 0.4664, kb_relative_information_score: 585.4287, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7551, predictive_accuracy: 0.7296, prior_entropy: 0.9977, recall: 0.7296, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6271, kappa: 0.2568, kb_relative_information_score: 108.4082, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6368, predictive_accuracy: 0.6344, prior_entropy: 0.9977, recall: 0.6344, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9515, scimark_benchmark: 1860.4354, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7375, kappa: 0.4741, kb_relative_information_score: 305.9814, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7383, predictive_accuracy: 0.7373, prior_entropy: 0.9977, recall: 0.7373, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576, scimark_benchmark: 1860.4354, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.365, kappa: -0.0015, kb_relative_information_score: -0.1677, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.279, predictive_accuracy: 0.5277, prior_entropy: 0.9977, recall: 0.5277, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0009, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.365, kappa: -0.0015, kb_relative_information_score: -0.1677, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.279, predictive_accuracy: 0.5277, prior_entropy: 0.9977, recall: 0.5277, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0009, scimark_benchmark: 1860.4354, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.6154, kappa: 0.2277, kb_relative_information_score: 284.9237, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6153, predictive_accuracy: 0.616, prior_entropy: 0.9977, recall: 0.616, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2216, scimark_benchmark: 1860.4354, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5991, kappa: 0.1966, kb_relative_information_score: 262.8399, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6018, predictive_accuracy: 0.6029, prior_entropy: 0.9977, recall: 0.6029, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2613, scimark_benchmark: 1860.4354, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6824, kappa: 0.3838, kb_relative_information_score: 264.892, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7133, predictive_accuracy: 0.6874, prior_entropy: 0.9977, recall: 0.6874, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9142, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6883, kappa: 0.3941, kb_relative_information_score: 275.092, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.7174, predictive_accuracy: 0.6928, prior_entropy: 0.9977, recall: 0.6928, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.91, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6792, kappa: 0.358, kb_relative_information_score: 315.4847, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.6806, predictive_accuracy: 0.679, prior_entropy: 0.9977, recall: 0.679, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9196, scimark_benchmark: 1447.2612, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6435, kappa: 0.3036, kb_relative_information_score: 318.7236, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 1302, precision: 0.665, predictive_accuracy: 0.6475, prior_entropy: 0.9977, recall: 0.6475, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0454, scimark_benchmark: 1840.6094, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 140.625,

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