OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 245 Supervised Classification breast-w 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 1325.1482, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 1352.06, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9697, kappa: 0.9374, kb_relative_information_score: 216.7993, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9717, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3631, scimark_benchmark: 1281.7531, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 1322.7257, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9568, kappa: 0.9107, kb_relative_information_score: 219.7615, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9594, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3976, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 1320.9387, usercpu_time_millis: 10520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9568, kappa: 0.9107, kb_relative_information_score: 219.7615, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9594, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3976, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9568, kappa: 0.9107, kb_relative_information_score: 219.7615, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9594, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3976, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9564, kappa: 0.9091, kb_relative_information_score: 219.4398, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.423, scimark_benchmark: 1327.035, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 1342.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9565, kappa: 0.9094, kb_relative_information_score: 215.3781, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3601, scimark_benchmark: 1368.9272, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 206.5414, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3802, scimark_benchmark: 926.6704, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 1341.4232, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 210.4512, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3993, scimark_benchmark: 885.0921, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 199.2121, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4022, scimark_benchmark: 1331.2332, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9392, kappa: 0.8736, kb_relative_information_score: 197.5765, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9395, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4242, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9567, kappa: 0.9104, kb_relative_information_score: 214.7088, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9583, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3862, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 199.0316, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4017, scimark_benchmark: 1349.9741, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9567, kappa: 0.9101, kb_relative_information_score: 213.9524, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9574, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4089, scimark_benchmark: 1311.1837, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9567, kappa: 0.9101, kb_relative_information_score: 204.8405, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9574, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3895, scimark_benchmark: 1311.1837, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 203.7269, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3939, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9283, kb_relative_information_score: 217.361, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9669, predictive_accuracy: 0.9652, prior_entropy: 0.9297, recall: 0.9652, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3823, scimark_benchmark: 1006.9991, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9525, kappa: 0.9023, kb_relative_information_score: 211.5106, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9573, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4293, scimark_benchmark: 1342.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9525, kappa: 0.9023, kb_relative_information_score: 211.5106, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9573, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4293, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9348, kappa: 0.8644, kb_relative_information_score: 199.5658, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9297, recall: 0.9348, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4924, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9482, kappa: 0.8932, kb_relative_information_score: 213.8823, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9522, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4659, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9437, kappa: 0.8833, kb_relative_information_score: 199.4068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9448, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4151, scimark_benchmark: 1326.6647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9523, kappa: 0.9009, kb_relative_information_score: 210.4512, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9527, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3993, scimark_benchmark: 1345.1228, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9479, kappa: 0.8917, kb_relative_information_score: 214.1692, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.453, scimark_benchmark: 1345.0332, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9522, kappa: 0.9005, kb_relative_information_score: 216.0081, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4011, scimark_benchmark: 1280.6952, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9478, kappa: 0.8913, kb_relative_information_score: 212.9349, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4237, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9478, kappa: 0.8913, kb_relative_information_score: 212.8177, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.209, root_relative_squared_error: 0.424, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9434, kappa: 0.882, kb_relative_information_score: 211.6988, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4288, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9567, kappa: 0.9104, kb_relative_information_score: 214.1052, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9583, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3866, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9524, kappa: 0.9013, kb_relative_information_score: 213.9869, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9535, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4056, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 221.7473, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4013, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9522, kappa: 0.9005, kb_relative_information_score: 217.1323, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 0.9297, recall: 0.9522, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4436, scimark_benchmark: 930.5999, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.961, kappa: 0.9192, kb_relative_information_score: 221.7473, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9621, predictive_accuracy: 0.9609, prior_entropy: 0.9297, recall: 0.9609, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4013, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9565, kappa: 0.9094, kb_relative_information_score: 215.3781, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3601, scimark_benchmark: 880.8372, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9564, kappa: 0.9091, kb_relative_information_score: 219.4398, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.423, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9696, kappa: 0.9369, kb_relative_information_score: 216.1076, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9701, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3482, scimark_benchmark: 1355.9413, usercpu_time_millis: 10420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9397, kappa: 0.8763, kb_relative_information_score: 210.2099, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9472, predictive_accuracy: 0.9391, prior_entropy: 0.9297, recall: 0.9391, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5005, scimark_benchmark: 1368.9272, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9568, kappa: 0.9107, kb_relative_information_score: 219.7615, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9594, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3976, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9697, kappa: 0.9374, kb_relative_information_score: 216.7993, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9717, predictive_accuracy: 0.9696, prior_entropy: 0.9297, recall: 0.9696, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3631, scimark_benchmark: 1319.5177, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9001, kappa: 0.792, kb_relative_information_score: 190.4594, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9297, recall: 0.9, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6279, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9567, kappa: 0.9104, kb_relative_information_score: 207.5415, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9583, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4076, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9259, kappa: 0.8452, kb_relative_information_score: 205.4196, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9297, recall: 0.9261, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4704, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9482, kappa: 0.8936, kb_relative_information_score: 214.8248, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9538, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4634, scimark_benchmark: 1315.395, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8233, kappa: 0.6304, kb_relative_information_score: 154.8303, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.8705, predictive_accuracy: 0.8348, prior_entropy: 0.9297, recall: 0.8348, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8246, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9434, kappa: 0.882, kb_relative_information_score: 210.2615, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9297, recall: 0.9435, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4458, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9123, kappa: 0.8162, kb_relative_information_score: 196.365, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9139, predictive_accuracy: 0.913, prior_entropy: 0.9297, recall: 0.913, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.5982, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9482, kappa: 0.8932, kb_relative_information_score: 214.8248, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9522, predictive_accuracy: 0.9478, prior_entropy: 0.9297, recall: 0.9478, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4634, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.8581, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9297, recall: 0.6, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0075, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9217, kappa: 0.837, kb_relative_information_score: 198.0057, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9297, recall: 0.9217, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5314, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, build_cpu_time: 0.103, build_memory: 357227424, f_measure: 0.9565, kappa: 0.9094, kb_relative_information_score: 217.3266, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.469, number_of_instances: 230, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9297, recall: 0.9565, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.493, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3844, scimark_benchmark: 931.9671,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs