Task
Supervised Classification on AP_Lung_Kidney

Supervised Classification on AP_Lung_Kidney

Task 3997 Supervised Classification AP_Lung_Kidney 65 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9558, kappa: 0.8992, kb_relative_information_score: 334.2869, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.9122, recall: 0.956, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9406, kappa: 0.8653, kb_relative_information_score: 329.4372, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9409, predictive_accuracy: 0.9404, prior_entropy: 0.9122, recall: 0.9404, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9305, kappa: 0.8432, kb_relative_information_score: 298.4951, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9317, predictive_accuracy: 0.9301, prior_entropy: 0.9122, recall: 0.9301, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9585, kappa: 0.9057, kb_relative_information_score: 333.4352, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9122, recall: 0.9585, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9742, kappa: 0.9416, kb_relative_information_score: 361.6719, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9745, predictive_accuracy: 0.9741, prior_entropy: 0.9122, recall: 0.9741, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9563, kappa: 0.9013, kb_relative_information_score: 289.1995, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9572, predictive_accuracy: 0.956, prior_entropy: 0.9122, recall: 0.956, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.969, kappa: 0.9296, kb_relative_information_score: 356.8791, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9691, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.5422, kb_relative_information_score: 0.4905, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.4537, predictive_accuracy: 0.6736, prior_entropy: 0.9122, recall: 0.6736, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.4689, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9638, kappa: 0.9179, kb_relative_information_score: 318.5898, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9639, predictive_accuracy: 0.9637, prior_entropy: 0.9122, recall: 0.9637, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9405, kappa: 0.8648, kb_relative_information_score: 330.5568, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 0.9122, recall: 0.9404, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5422, kb_relative_information_score: -8.2209, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.4537, predictive_accuracy: 0.6736, prior_entropy: 0.9122, recall: 0.6736, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0068, scimark_benchmark: 356.3064, usercpu_time_millis: 427710, usercpu_time_millis_testing: 91510, usercpu_time_millis_training: 336200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9404, kappa: 0.8642, kb_relative_information_score: 324.2048, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9403, predictive_accuracy: 0.9404, prior_entropy: 0.9122, recall: 0.9404, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5113, scimark_benchmark: 1005.7815, usercpu_time_millis: 1369080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1369060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9716, kappa: 0.9356, kb_relative_information_score: 359.2784, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 0.9122, recall: 0.9715, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.36, scimark_benchmark: 1101.0872, usercpu_time_millis: 3820, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9768, kappa: 0.9473, kb_relative_information_score: 364.0653, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 0.9122, recall: 0.9767, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3256, scimark_benchmark: 1344.9886, usercpu_time_millis: 2480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.969, kappa: 0.9299, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9694, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 1333.8717, usercpu_time_millis: 6220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 6120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5422, kb_relative_information_score: -10.5477, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.4537, predictive_accuracy: 0.6736, prior_entropy: 0.9122, recall: 0.6736, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0056, scimark_benchmark: 1485.5899, usercpu_time_millis: 234900, usercpu_time_millis_testing: 52060, usercpu_time_millis_training: 182840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.969, kappa: 0.9296, kb_relative_information_score: 356.1856, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9691, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3717, scimark_benchmark: 1398.1524, usercpu_time_millis: 1138350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1138270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9613, kappa: 0.9122, kb_relative_information_score: 348.0909, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4192, scimark_benchmark: 1298.5407, usercpu_time_millis: 9320, usercpu_time_millis_testing: 8000, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9611, kappa: 0.9114, kb_relative_information_score: 349.1526, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4186, scimark_benchmark: 1434.0265, usercpu_time_millis: 142660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 142640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9382, kappa: 0.8603, kb_relative_information_score: 323.7504, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.939, predictive_accuracy: 0.9378, prior_entropy: 0.9122, recall: 0.9378, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5167, scimark_benchmark: 1155.0689, usercpu_time_millis: 7450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9485, kappa: 0.8836, kb_relative_information_score: 322.5834, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9493, predictive_accuracy: 0.9482, prior_entropy: 0.9122, recall: 0.9482, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4537, scimark_benchmark: 839.8372, usercpu_time_millis: 3190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9663, kappa: 0.9233, kb_relative_information_score: 306.2915, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3669, scimark_benchmark: 1196.5089, usercpu_time_millis: 2720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9741, kappa: 0.9413, kb_relative_information_score: 361.6719, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 0.9122, recall: 0.9741, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3433, scimark_benchmark: 1096.6732, usercpu_time_millis: 11660, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9534, kappa: 0.894, kb_relative_information_score: 342.5241, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9122, recall: 0.9534, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4605, scimark_benchmark: 1126.9761, usercpu_time_millis: 3370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9715, kappa: 0.9353, kb_relative_information_score: 359.2784, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 0.9122, recall: 0.9715, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.36, scimark_benchmark: 1231.0872, usercpu_time_millis: 4290, usercpu_time_millis_testing: 2470, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9715, kappa: 0.9353, kb_relative_information_score: 359.2784, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 0.9122, recall: 0.9715, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.36, scimark_benchmark: 1233.3954, usercpu_time_millis: 4090, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9768, kappa: 0.9473, kb_relative_information_score: 364.0653, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 0.9122, recall: 0.9767, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3256, scimark_benchmark: 1324.6278, usercpu_time_millis: 1800, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.969, kappa: 0.9299, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9694, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 1291.2146, usercpu_time_millis: 5330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.969, kappa: 0.9296, kb_relative_information_score: 355.864, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9691, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3743, scimark_benchmark: 1162.4726, usercpu_time_millis: 1230310, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1230240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9613, kappa: 0.9122, kb_relative_information_score: 348.0909, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4192, scimark_benchmark: 840.3953, usercpu_time_millis: 13440, usercpu_time_millis_testing: 11840, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9611, kappa: 0.9114, kb_relative_information_score: 349.1526, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4186, scimark_benchmark: 1102.8798, usercpu_time_millis: 157980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 157960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9481, kappa: 0.8817, kb_relative_information_score: 333.9932, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.948, predictive_accuracy: 0.9482, prior_entropy: 0.9122, recall: 0.9482, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4847, scimark_benchmark: 1074.5393, usercpu_time_millis: 8290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9561, kappa: 0.9005, kb_relative_information_score: 329.9857, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9122, recall: 0.956, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4175, scimark_benchmark: 568.5029, usercpu_time_millis: 2840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9688, kappa: 0.929, kb_relative_information_score: 307.1343, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3643, scimark_benchmark: 513.06, usercpu_time_millis: 3280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9663, kappa: 0.9233, kb_relative_information_score: 354.4915, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3914, scimark_benchmark: 478.9212, usercpu_time_millis: 11590, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 9080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9611, kappa: 0.9114, kb_relative_information_score: 349.7045, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4204, scimark_benchmark: 952.3706, usercpu_time_millis: 4480, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9638, kappa: 0.9179, kb_relative_information_score: 351.1913, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9639, predictive_accuracy: 0.9637, prior_entropy: 0.9122, recall: 0.9637, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4067, scimark_benchmark: 1402.233, usercpu_time_millis: 1010490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1010470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9741, kappa: 0.9413, kb_relative_information_score: 356.9653, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 0.9122, recall: 0.9741, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3412, scimark_benchmark: 1099.6844, usercpu_time_millis: 1321410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1321370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9611, kappa: 0.9114, kb_relative_information_score: 348.7052, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4168, scimark_benchmark: 800.159, usercpu_time_millis: 1455970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1455950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.961, kappa: 0.9111, kb_relative_information_score: 349.7045, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4204, scimark_benchmark: 1230.8888, usercpu_time_millis: 1047580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1047570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9611, kappa: 0.9114, kb_relative_information_score: 349.1526, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4186, scimark_benchmark: 887.1777, usercpu_time_millis: 168210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 168200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.5422, kb_relative_information_score: -4.2925, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.4537, predictive_accuracy: 0.6736, prior_entropy: 0.9122, recall: 0.6736, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.4703, root_relative_squared_error: 1.003, scimark_benchmark: 1233.41, usercpu_time_millis: 427880, usercpu_time_millis_testing: 130910, usercpu_time_millis_training: 296970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9612, kappa: 0.9118, kb_relative_information_score: 348.8957, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3756, scimark_benchmark: 1554.8, usercpu_time_millis: 1066650, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1066420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9585, kappa: 0.9054, kb_relative_information_score: 344.8431, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9122, recall: 0.9585, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3808, scimark_benchmark: 896.3648, usercpu_time_millis: 1147710, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1147380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9589, kappa: 0.9073, kb_relative_information_score: 346.5068, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9601, predictive_accuracy: 0.9585, prior_entropy: 0.9122, recall: 0.9585, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3678, scimark_benchmark: 902.677, usercpu_time_millis: 24080, usercpu_time_millis_testing: 24080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9584, kappa: 0.905, kb_relative_information_score: 347.2273, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9122, recall: 0.9585, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3821, scimark_benchmark: 1357.051, usercpu_time_millis: 1121300, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1121010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9689, kappa: 0.9293, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 1382.891, usercpu_time_millis: 1036450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1036440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9534, kappa: 0.894, kb_relative_information_score: 327.7149, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9122, recall: 0.9534, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4348, scimark_benchmark: 1400.7337, usercpu_time_millis: 1046310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1046290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9667, kappa: 0.9251, kb_relative_information_score: 354.4861, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9687, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3914, scimark_benchmark: 1388.3058, usercpu_time_millis: 1067110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1067050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9664, kappa: 0.9236, kb_relative_information_score: 332.8074, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3131, scimark_benchmark: 1083.9567, usercpu_time_millis: 1177530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1177500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9667, kappa: 0.9251, kb_relative_information_score: 354.4915, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9687, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3914, scimark_benchmark: 1629.4674, usercpu_time_millis: 926630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 926580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9661, kappa: 0.9226, kb_relative_information_score: 352.8597, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3903, scimark_benchmark: 892.6685, usercpu_time_millis: 1478730, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1478480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9638, kappa: 0.9179, kb_relative_information_score: 351.5036, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9639, predictive_accuracy: 0.9637, prior_entropy: 0.9122, recall: 0.9637, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4012, scimark_benchmark: 1411.2016, usercpu_time_millis: 1007060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1007050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9533, kappa: 0.8935, kb_relative_information_score: 332.2123, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.9122, recall: 0.9534, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4048, scimark_benchmark: 982.72, usercpu_time_millis: 23510, usercpu_time_millis_testing: 23510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9557, kappa: 0.8988, kb_relative_information_score: 335.7355, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9122, recall: 0.956, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3907, scimark_benchmark: 960.1501, usercpu_time_millis: 30630, usercpu_time_millis_testing: 30630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9768, kappa: 0.9473, kb_relative_information_score: 364.0653, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 0.9122, recall: 0.9767, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3256, scimark_benchmark: 1567.4622, usercpu_time_millis: 620, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.969, kappa: 0.9296, kb_relative_information_score: 355.9973, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9691, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0726, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3732, scimark_benchmark: 1581.6033, usercpu_time_millis: 886610, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 886560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.969, kappa: 0.9299, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9694, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 1491.9653, usercpu_time_millis: 3890, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9692, kappa: 0.9307, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9709, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 627.8425, usercpu_time_millis: 4700, usercpu_time_millis_testing: 3060, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9408, kappa: 0.8664, kb_relative_information_score: 323.7205, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9419, predictive_accuracy: 0.9404, prior_entropy: 0.9122, recall: 0.9404, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5084, scimark_benchmark: 1010.5937, usercpu_time_millis: 6930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9692, kappa: 0.9307, kb_relative_information_score: 356.8849, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9709, predictive_accuracy: 0.9689, prior_entropy: 0.9122, recall: 0.9689, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.376, scimark_benchmark: 852.9943, usercpu_time_millis: 8150, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 5700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9664, kappa: 0.9236, kb_relative_information_score: 300.5845, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 0.9122, recall: 0.9663, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3845, scimark_benchmark: 953.6228, usercpu_time_millis: 1790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9562, kappa: 0.9009, kb_relative_information_score: 329.6246, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 0.9122, recall: 0.956, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4161, scimark_benchmark: 1029.2224, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9613, kappa: 0.9122, kb_relative_information_score: 348.0909, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 0.9122, recall: 0.9611, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4192, scimark_benchmark: 1050.4423, usercpu_time_millis: 8510, usercpu_time_millis_testing: 8500, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9407, kappa: 0.8659, kb_relative_information_score: 330.5568, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4401, number_of_instances: 386, precision: 0.9413, predictive_accuracy: 0.9404, prior_entropy: 0.9122, recall: 0.9404, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4689, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5206, scimark_benchmark: 1048.0708, usercpu_time_millis: 2130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2100,

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