OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 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: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.704, kappa: 0.3365, kb_relative_information_score: 19.4334, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7017, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9323, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7205, kappa: 0.3784, kb_relative_information_score: 31.4456, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7194, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9801, scimark_benchmark: 1267.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.704, kappa: 0.3365, kb_relative_information_score: 19.4334, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7017, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9323, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1382.5085, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1397.3209, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1346.9165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 23.08, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9348, scimark_benchmark: 1341.5795, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1341.5795, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 23.08, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9348, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7529, kappa: 0.4414, kb_relative_information_score: 44.0528, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7549, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8889, scimark_benchmark: 1373.2982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7509, kappa: 0.436, kb_relative_information_score: 32.3174, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7553, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9128, scimark_benchmark: 1329.0249, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 26.9056, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9135, scimark_benchmark: 1366.0221, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7338, kappa: 0.408, kb_relative_information_score: 46.0596, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7328, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9396, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7616, kappa: 0.472, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7616, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.7233, kappa: 0.3789, kb_relative_information_score: -20.5415, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7215, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 1.0768, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0356, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.2591, kappa: 0.0093, kb_relative_information_score: -25.948, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5786, predictive_accuracy: 0.3709, prior_entropy: 0.9308, recall: 0.3709, relative_absolute_error: 1.1022, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0494, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.6135, kappa: 0.1256, kb_relative_information_score: 6.4269, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6213, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0049, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 18.1172, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9733, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.6641, kappa: 0.2443, kb_relative_information_score: 16.1992, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7065, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9392, scimark_benchmark: 934.6432, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6516, kappa: 0.2094, kb_relative_information_score: 16.36, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6605, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9432, scimark_benchmark: 1034.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6329, kappa: 0.168, kb_relative_information_score: 14.982, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6417, predictive_accuracy: 0.6689, prior_entropy: 0.9308, recall: 0.6689, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9545, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7604, kappa: 0.4672, kb_relative_information_score: 52.3023, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9082, scimark_benchmark: 887.6719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7518, kappa: 0.4447, kb_relative_information_score: 46.5163, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7504, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.43, root_relative_squared_error: 0.905, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7469, kappa: 0.4287, kb_relative_information_score: 36.8668, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7478, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9071, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 26.59, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9192, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs