Task
Supervised Classification on fri_c1_250_10

Supervised Classification on fri_c1_250_10

Task 3798 Supervised Classification fri_c1_250_10 580 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: 0.7292, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 62.9921, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.703, kappa: 0.3958, kb_relative_information_score: 67.3988, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7027, predictive_accuracy: 0.704, prior_entropy: 0.9898, recall: 0.704, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8796, kappa: 0.7551, kb_relative_information_score: 150.1333, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7004, kappa: 0.393, kb_relative_information_score: 61.9774, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.701, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8481, kappa: 0.6922, kb_relative_information_score: 155.9382, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6628, kappa: 0.3142, kb_relative_information_score: 59.771, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6624, predictive_accuracy: 0.664, prior_entropy: 0.9898, recall: 0.664, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8835, kappa: 0.763, kb_relative_information_score: 188.5042, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8844, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8921, kappa: 0.7811, kb_relative_information_score: 173.492, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7148, kappa: 0.4197, kb_relative_information_score: 103.1854, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7147, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6713, kappa: 0.3318, kb_relative_information_score: 58.3516, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6709, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 64.3996, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6713, kappa: 0.3318, kb_relative_information_score: 58.3516, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6709, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6918, kappa: 0.3744, kb_relative_information_score: 83.4753, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6917, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8682, kappa: 0.7329, kb_relative_information_score: 162.7905, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8206, kappa: 0.635, kb_relative_information_score: 99.542, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8309, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.896, kappa: 0.789, kb_relative_information_score: 170.9387, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.896, kappa: 0.789, kb_relative_information_score: 170.9387, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.6704, kappa: 0.3292, kb_relative_information_score: 60.0516, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6701, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8353, kappa: 0.6649, kb_relative_information_score: 164.746, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 63.0765, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 63.6545, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6903, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8353, kappa: 0.6649, kb_relative_information_score: 164.746, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7004, kappa: 0.393, kb_relative_information_score: 62.0133, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.701, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6637, kappa: 0.3169, kb_relative_information_score: 78.4714, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6634, predictive_accuracy: 0.664, prior_entropy: 0.9898, recall: 0.664, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6907, kappa: 0.3707, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6905, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6637, kappa: 0.3169, kb_relative_information_score: 78.4714, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6634, predictive_accuracy: 0.664, prior_entropy: 0.9898, recall: 0.664, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7983, kappa: 0.5894, kb_relative_information_score: 129.8337, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 63.0765, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 63.0765, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6704, kappa: 0.3292, kb_relative_information_score: 55.0818, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6701, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8439, kappa: 0.6831, kb_relative_information_score: 133.4467, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8309, kappa: 0.6557, kb_relative_information_score: 164.2149, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8325, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.734, kappa: 0.4592, kb_relative_information_score: 117.2601, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7437, predictive_accuracy: 0.74, prior_entropy: 0.9898, recall: 0.74, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0272, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.6911, kappa: 0.3719, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6908, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6312, kappa: 0.2503, kb_relative_information_score: 62.1393, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6307, predictive_accuracy: 0.632, prior_entropy: 0.9898, recall: 0.632, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2221, scimark_benchmark: 1461.2356, 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: 0.6644, f_measure: 0.6552, kappa: 0.2992, kb_relative_information_score: 49.3733, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9898, recall: 0.656, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9948, scimark_benchmark: 1787.9841, usercpu_time_millis: 687.5, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6552, kappa: 0.2992, kb_relative_information_score: 49.3733, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9898, recall: 0.656, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9948, scimark_benchmark: 1638.07, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6312, kappa: 0.2503, kb_relative_information_score: 62.1393, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6307, predictive_accuracy: 0.632, prior_entropy: 0.9898, recall: 0.632, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2221, scimark_benchmark: 1367.0013, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1387.342, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.734, kappa: 0.4592, kb_relative_information_score: 117.2601, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7437, predictive_accuracy: 0.74, prior_entropy: 0.9898, recall: 0.74, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0272, scimark_benchmark: 1372.5265, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6746, kappa: 0.338, kb_relative_information_score: 50.2348, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6743, predictive_accuracy: 0.676, prior_entropy: 0.9898, recall: 0.676, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9142, 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: 0.6581, f_measure: 0.6637, kappa: 0.3169, kb_relative_information_score: 78.4714, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6634, predictive_accuracy: 0.664, prior_entropy: 0.9898, recall: 0.664, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1677, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.686, kappa: 0.3607, kb_relative_information_score: 90.7205, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6861, predictive_accuracy: 0.688, prior_entropy: 0.9898, recall: 0.688, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1253, scimark_benchmark: 1515.3776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 56.0709, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9119, scimark_benchmark: 1121.0491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8481, kappa: 0.6922, kb_relative_information_score: 155.9382, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7474, scimark_benchmark: 933.8452, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9003, kappa: 0.7988, kb_relative_information_score: 157.8495, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9029, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5847, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8723, kappa: 0.7462, kb_relative_information_score: 184.0297, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8887, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5969, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6575, kappa: 0.3366, kb_relative_information_score: 76.1717, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.692, predictive_accuracy: 0.66, prior_entropy: 0.9898, recall: 0.66, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0098, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6953, kappa: 0.3807, kb_relative_information_score: 58.4798, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.695, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8973, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8998, kappa: 0.7965, kb_relative_information_score: 170.7465, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5721, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.6704, kappa: 0.3292, kb_relative_information_score: 60.0516, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6701, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.927, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 158.0904, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9079, kappa: 0.8128, kb_relative_information_score: 203.0037, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6522, kappa: 0.2945, kb_relative_information_score: 72.3469, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6523, predictive_accuracy: 0.652, prior_entropy: 0.9898, recall: 0.652, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1884, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6987, kappa: 0.3871, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6986, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8518, kappa: 0.6988, kb_relative_information_score: 146.05, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7337, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.832, kappa: 0.6591, kb_relative_information_score: 139.0088, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.765, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6713, kappa: 0.3318, kb_relative_information_score: 58.1917, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6709, predictive_accuracy: 0.672, prior_entropy: 0.9898, recall: 0.672, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9352, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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