Task
Supervised Classification on fri_c1_250_10

Supervised Classification on fri_c1_250_10

Task 4503 Supervised Classification fri_c1_250_10 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 1344.3409, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 1299.3719, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 1331.7229, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 1311.7006, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8661, kappa: 0.7279, kb_relative_information_score: 1439.4508, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9898, recall: 0.8664, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6472, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8545, kappa: 0.704, kb_relative_information_score: 1727.5499, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8555, predictive_accuracy: 0.8552, prior_entropy: 0.9898, recall: 0.8552, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7453, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8341, kappa: 0.6622, kb_relative_information_score: 1395.1535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8358, predictive_accuracy: 0.8352, prior_entropy: 0.9898, recall: 0.8352, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7573, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8853, kappa: 0.7668, kb_relative_information_score: 1486.9155, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9898, recall: 0.8856, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5888, scimark_benchmark: 1357.5655, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8629, kappa: 0.7213, kb_relative_information_score: 1431.1957, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8631, predictive_accuracy: 0.8632, prior_entropy: 0.9898, recall: 0.8632, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6331, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7344, kappa: 0.46, kb_relative_information_score: 1117.8422, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7343, predictive_accuracy: 0.7352, prior_entropy: 0.9898, recall: 0.7352, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9501, scimark_benchmark: 1368.9272, usercpu_time_millis: 1460, usercpu_time_millis_testing: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8341, kappa: 0.6622, kb_relative_information_score: 1395.1535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8358, predictive_accuracy: 0.8352, prior_entropy: 0.9898, recall: 0.8352, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7573, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 916.5769, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8426, kappa: 0.6809, kb_relative_information_score: 1661.7947, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8429, predictive_accuracy: 0.8424, prior_entropy: 0.9898, recall: 0.8424, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.759, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0524, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, 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, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8685, kappa: 0.7326, kb_relative_information_score: 1757.934, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9898, recall: 0.8688, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6742, scimark_benchmark: 1350.4702, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 1317.0962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 1557.8825, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8626, predictive_accuracy: 0.8616, prior_entropy: 0.9898, recall: 0.8616, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6512, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8341, kappa: 0.6621, kb_relative_information_score: 1014.6671, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8388, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7288, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8971, kappa: 0.7907, kb_relative_information_score: 1921.771, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8983, predictive_accuracy: 0.8976, prior_entropy: 0.9898, recall: 0.8976, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5698, scimark_benchmark: 1327.5791, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6797, kappa: 0.3481, kb_relative_information_score: 874.5406, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6797, predictive_accuracy: 0.6816, prior_entropy: 0.9898, recall: 0.6816, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1368, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8341, kappa: 0.6622, kb_relative_information_score: 1395.1535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8358, predictive_accuracy: 0.8352, prior_entropy: 0.9898, recall: 0.8352, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7573, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.751, kappa: 0.4954, kb_relative_information_score: 796.4073, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7514, predictive_accuracy: 0.7508, prior_entropy: 0.9898, recall: 0.7508, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8543, scimark_benchmark: 896.937, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.6985, kappa: 0.3885, kb_relative_information_score: 953.9005, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6986, predictive_accuracy: 0.6984, prior_entropy: 0.9898, recall: 0.6984, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.1015, scimark_benchmark: 1328.8457, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7221, kappa: 0.4453, kb_relative_information_score: 703.7623, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7327, predictive_accuracy: 0.7212, prior_entropy: 0.9898, recall: 0.7212, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8962, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8606, kappa: 0.7166, kb_relative_information_score: 1717.5001, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9898, recall: 0.8608, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7249, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8976, kappa: 0.7916, kb_relative_information_score: 1931.7679, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8986, predictive_accuracy: 0.898, prior_entropy: 0.9898, recall: 0.898, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5688, scimark_benchmark: 1333.5799, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8864, kappa: 0.7688, kb_relative_information_score: 1851.1696, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8872, predictive_accuracy: 0.8868, prior_entropy: 0.9898, recall: 0.8868, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5749, scimark_benchmark: 1318.1432, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.878, kappa: 0.7519, kb_relative_information_score: 1728.5624, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8785, predictive_accuracy: 0.8784, prior_entropy: 0.9898, recall: 0.8784, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5928, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8621, kappa: 0.7194, kb_relative_information_score: 1526.1982, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8632, predictive_accuracy: 0.8628, prior_entropy: 0.9898, recall: 0.8628, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6415, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8138, kappa: 0.6215, kb_relative_information_score: 1274.5502, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.814, predictive_accuracy: 0.8144, prior_entropy: 0.9898, recall: 0.8144, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7155, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6769, kappa: 0.3427, kb_relative_information_score: 636.3663, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6767, predictive_accuracy: 0.6784, prior_entropy: 0.9898, recall: 0.6784, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9193, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6812, kappa: 0.353, kb_relative_information_score: 719.5219, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6812, predictive_accuracy: 0.6812, prior_entropy: 0.9898, recall: 0.6812, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9503, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.6032, kappa: 0.192, kb_relative_information_score: 502.9852, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.604, predictive_accuracy: 0.6088, prior_entropy: 0.9898, recall: 0.6088, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.26, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 253.9206, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1287.514, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6823, kappa: 0.3531, kb_relative_information_score: 890.8727, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6828, predictive_accuracy: 0.6848, prior_entropy: 0.9898, recall: 0.6848, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.131, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6622, kappa: 0.3126, kb_relative_information_score: 463.9858, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.662, predictive_accuracy: 0.664, prior_entropy: 0.9898, recall: 0.664, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9286, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.6797, kappa: 0.3481, kb_relative_information_score: 874.5406, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6797, predictive_accuracy: 0.6816, prior_entropy: 0.9898, recall: 0.6816, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1368, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.686, kappa: 0.3613, kb_relative_information_score: 581.7678, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6857, predictive_accuracy: 0.6872, prior_entropy: 0.9898, recall: 0.6872, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9145, scimark_benchmark: 926.6704, usercpu_time_millis: 2760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8853, kappa: 0.7668, kb_relative_information_score: 1486.9155, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9898, recall: 0.8856, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5888, scimark_benchmark: 1341.5768, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1491.0775, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8029, predictive_accuracy: 0.8024, prior_entropy: 0.9898, recall: 0.8024, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8955, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8323, kappa: 0.659, kb_relative_information_score: 1401.8487, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8325, predictive_accuracy: 0.8328, prior_entropy: 0.9898, recall: 0.8328, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7619, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8424, kappa: 0.6797, kb_relative_information_score: 1478.5568, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9898, recall: 0.8428, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7544, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7493, kappa: 0.4896, kb_relative_information_score: 1227.7223, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7499, predictive_accuracy: 0.7508, prior_entropy: 0.9898, recall: 0.7508, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0057, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.3156, kappa: 0.008, kb_relative_information_score: -309.537, mean_absolute_error: 0.5504, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.5368, predictive_accuracy: 0.4496, prior_entropy: 0.9898, recall: 0.4496, relative_absolute_error: 1.1168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7419, root_relative_squared_error: 1.4946, scimark_benchmark: 1332.4146, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8227, kappa: 0.64, kb_relative_information_score: 1595.1946, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9898, recall: 0.8228, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.421, root_relative_squared_error: 0.848, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8539, kappa: 0.7029, kb_relative_information_score: 1719.4414, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8544, predictive_accuracy: 0.8544, prior_entropy: 0.9898, recall: 0.8544, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7472, scimark_benchmark: 1418.5826,

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