OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3607 Supervised Classification rmftsa_sleepdata 541 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: 0.7679, f_measure: 0.7216, kappa: 0.4485, kb_relative_information_score: 427.9179, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.734, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9869, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7151, kappa: 0.4349, kb_relative_information_score: 432.3931, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7256, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7216, kappa: 0.4485, kb_relative_information_score: 428.7852, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.734, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7206, kappa: 0.4466, kb_relative_information_score: 426.9309, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7327, predictive_accuracy: 0.7236, prior_entropy: 1, recall: 0.7236, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3366, kb_relative_information_score: 5.9497, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.4101, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 326.0382, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7371, kappa: 0.4748, kb_relative_information_score: 148.2104, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7382, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9061, scimark_benchmark: 923.7471, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7143, kappa: 0.433, kb_relative_information_score: 264.7798, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7237, predictive_accuracy: 0.7168, prior_entropy: 1, recall: 0.7168, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8767, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7265, kappa: 0.4547, kb_relative_information_score: 226.6638, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.751, kappa: 0.5019, kb_relative_information_score: 344.1023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 906.0884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 928.8135, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7314, kappa: 0.4628, kb_relative_information_score: 340.2488, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7315, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6889, kappa: 0.3792, kb_relative_information_score: 265.0587, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6913, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 942.3809, usercpu_time_millis: 4860, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7153, kappa: 0.4349, kb_relative_information_score: 282.5039, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7249, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8837, scimark_benchmark: 946.6409, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 353.1689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8943, scimark_benchmark: 946.9304, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7353, kappa: 0.4706, kb_relative_information_score: 340.7454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7355, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8423, scimark_benchmark: 936.3952, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 1340.2467, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7314, kappa: 0.4628, kb_relative_information_score: 340.2488, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7315, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7153, kappa: 0.4349, kb_relative_information_score: 282.5039, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7249, predictive_accuracy: 0.7178, prior_entropy: 1, recall: 0.7178, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8837, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7265, kappa: 0.4547, kb_relative_information_score: 226.6638, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7314, kappa: 0.4628, kb_relative_information_score: 340.2488, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7315, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7265, kappa: 0.4547, kb_relative_information_score: 226.6638, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7111, kappa: 0.4271, kb_relative_information_score: 279.4946, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7215, predictive_accuracy: 0.7139, prior_entropy: 1, recall: 0.7139, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8874, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6889, kappa: 0.3792, kb_relative_information_score: 265.0587, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6913, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 1347.5461, usercpu_time_millis: 3310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 926.6704, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7265, kappa: 0.4547, kb_relative_information_score: 226.6638, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7304, predictive_accuracy: 0.7275, prior_entropy: 1, recall: 0.7275, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.751, kappa: 0.5019, kb_relative_information_score: 344.1023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7081, kappa: 0.4176, kb_relative_information_score: 304.1362, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.711, predictive_accuracy: 0.709, prior_entropy: 1, recall: 0.709, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, scimark_benchmark: 934.4732, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7301, kappa: 0.4643, kb_relative_information_score: 281.1749, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7399, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6786, kappa: 0.364, kb_relative_information_score: 371.9677, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6895, predictive_accuracy: 0.6816, prior_entropy: 1, recall: 0.6816, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.1285, scimark_benchmark: 1151.3336, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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