OpenML
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 136.6324, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9184, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7083, kappa: 0.4157, kb_relative_information_score: 42.6454, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7097, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.887, scimark_benchmark: 923.7471, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.68, kappa: 0.3585, kb_relative_information_score: 40.7412, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6859, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9118, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 919.6941, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7401, kappa: 0.4819, kb_relative_information_score: 107.4939, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7455, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8401, scimark_benchmark: 934.929, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 952.4682, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7116, kappa: 0.4275, kb_relative_information_score: 90.6909, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9204, scimark_benchmark: 946.6409, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368, scimark_benchmark: 879.4299, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7357, kappa: 0.4687, kb_relative_information_score: 117.2173, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0297, scimark_benchmark: 922.1419, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7357, kappa: 0.4687, kb_relative_information_score: 117.2173, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0297, scimark_benchmark: 1325.8468, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 926.6704, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 1314.9949, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7116, kappa: 0.4275, kb_relative_information_score: 90.6909, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9204, scimark_benchmark: 1340.9446, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 1349.1517, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 1337.8124, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 1316.5668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.6083, kappa: 0.2144, kb_relative_information_score: 53.8263, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6089, predictive_accuracy: 0.608, prior_entropy: 0.9971, recall: 0.608, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2192, scimark_benchmark: 1323.7742, usercpu_time_millis: 7410, usercpu_time_millis_testing: 7410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 1345.3152, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7401, kappa: 0.4819, kb_relative_information_score: 107.4939, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7455, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8401, scimark_benchmark: 1320.9026, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.6124, kappa: 0.2236, kb_relative_information_score: 54.8552, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6137, predictive_accuracy: 0.612, prior_entropy: 0.9971, recall: 0.612, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2484, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 1343.2125, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7794, kappa: 0.5566, kb_relative_information_score: 127.7649, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8787, scimark_benchmark: 1335.5424, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7538, kappa: 0.5057, kb_relative_information_score: 55.7528, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7587, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8522, scimark_benchmark: 1308.3432, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.5894, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 854.5188, usercpu_time_millis: 350, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3998, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7861, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7388, kappa: 0.4749, kb_relative_information_score: 119.229, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 0.9971, recall: 0.74, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0219, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7519, kappa: 0.5014, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7476, kappa: 0.4926, kb_relative_information_score: 125.6219, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7477, predictive_accuracy: 0.748, prior_entropy: 0.9971, recall: 0.748, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8716, scimark_benchmark: 1337.6765, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6599, kappa: 0.3169, kb_relative_information_score: 43.6126, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6598, predictive_accuracy: 0.66, prior_entropy: 0.9971, recall: 0.66, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9563, scimark_benchmark: 1307.3764, usercpu_time_millis: 1180, usercpu_time_millis_testing: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5684, kappa: 0.136, kb_relative_information_score: 32.7267, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.57, predictive_accuracy: 0.568, prior_entropy: 0.9971, recall: 0.568, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3172, scimark_benchmark: 1316.8289, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.4777, kappa: -0.0091, kb_relative_information_score: -1.3842, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.4963, predictive_accuracy: 0.512, prior_entropy: 0.9971, recall: 0.512, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0017, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7163, kappa: 0.4311, kb_relative_information_score: 107.1589, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7171, predictive_accuracy: 0.716, prior_entropy: 0.9971, recall: 0.716, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.068, scimark_benchmark: 1313.6093, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6295, kappa: 0.2722, kb_relative_information_score: 44.7919, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6457, predictive_accuracy: 0.632, prior_entropy: 0.9971, recall: 0.632, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9866, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.736, kappa: 0.4742, kb_relative_information_score: 88.6399, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7421, predictive_accuracy: 0.736, prior_entropy: 0.9971, recall: 0.736, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9146, scimark_benchmark: 1340.4336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7661, kappa: 0.5302, kb_relative_information_score: 52.7886, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7706, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8557, scimark_benchmark: 1308.3432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7429, kappa: 0.4832, kb_relative_information_score: 57.9021, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7443, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8471, scimark_benchmark: 1321.5205, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7882, kappa: 0.5758, kb_relative_information_score: 141.4691, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7897, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8271, scimark_benchmark: 898.1296, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7722, kappa: 0.5447, kb_relative_information_score: 127.1075, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7754, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8477, scimark_benchmark: 1325.0605, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7597, kappa: 0.517, kb_relative_information_score: 90.2625, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7745, scimark_benchmark: 996.6105, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7556, kappa: 0.5087, kb_relative_information_score: 85.9547, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7558, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7884, scimark_benchmark: 1367.506, usercpu_time_millis: 160, usercpu_time_millis_training: 160,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs