Task
Supervised Classification on AP_Endometrium_Kidney

Supervised Classification on AP_Endometrium_Kidney

Task 3991 Supervised Classification AP_Endometrium_Kidney 64 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.969, kappa: 0.9001, kb_relative_information_score: 281.0022, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9693, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9599, kappa: 0.8709, kb_relative_information_score: 269.6482, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9605, predictive_accuracy: 0.9595, prior_entropy: 0.7055, recall: 0.9595, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9567, kappa: 0.8601, kb_relative_information_score: 251.1852, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.957, predictive_accuracy: 0.9564, prior_entropy: 0.7055, recall: 0.9564, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9809, kappa: 0.9369, kb_relative_information_score: 289.2241, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9817, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 300.1349, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9816, kappa: 0.9415, kb_relative_information_score: 269.7894, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.983, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.3457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9783, kappa: 0.9296, kb_relative_information_score: 292.5251, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9784, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.7249, kb_relative_information_score: 2.9112, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.7055, recall: 0.81, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9692, kappa: 0.9013, kb_relative_information_score: 250.6024, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.97, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9599, kappa: 0.8709, kb_relative_information_score: 269.6482, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9605, predictive_accuracy: 0.9595, prior_entropy: 0.7055, recall: 0.9595, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.7249, kb_relative_information_score: 3.2134, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.7055, recall: 0.81, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.0004, scimark_benchmark: 1090.4843, usercpu_time_millis: 413720, usercpu_time_millis_testing: 92470, usercpu_time_millis_training: 321250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9696, kappa: 0.9036, kb_relative_information_score: 281.0807, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.972, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.4499, scimark_benchmark: 1368.2748, usercpu_time_millis: 4040, usercpu_time_millis_testing: 2420, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 300.1349, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3181, scimark_benchmark: 1263.6963, usercpu_time_millis: 1550, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.7249, kb_relative_information_score: 3.4724, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.7055, recall: 0.81, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.0004, scimark_benchmark: 933.528, usercpu_time_millis: 388540, usercpu_time_millis_testing: 98160, usercpu_time_millis_training: 290380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 1237.8364, usercpu_time_millis: 6500, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9721, kappa: 0.9095, kb_relative_information_score: 282.7263, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 0.7055, recall: 0.972, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4017, scimark_benchmark: 1287.7921, usercpu_time_millis: 1135920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1135850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9907, kappa: 0.9698, kb_relative_information_score: 305.5388, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.7055, recall: 0.9907, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2457, scimark_benchmark: 1363.694, usercpu_time_millis: 5930, usercpu_time_millis_testing: 4950, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9781, kappa: 0.9287, kb_relative_information_score: 292.4844, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9781, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3764, scimark_benchmark: 1392.0729, usercpu_time_millis: 122440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 122420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9688, kappa: 0.8988, kb_relative_information_score: 278.5328, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.4453, scimark_benchmark: 1240.2389, usercpu_time_millis: 6640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9652, kappa: 0.8851, kb_relative_information_score: 259.7079, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9654, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.462, scimark_benchmark: 832.6653, usercpu_time_millis: 2380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 251.4648, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3624, scimark_benchmark: 1069.9773, usercpu_time_millis: 2080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9666, kappa: 0.8946, kb_relative_information_score: 277.2699, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9696, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4718, scimark_benchmark: 1206.9548, usercpu_time_millis: 7180, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 5340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9601, kappa: 0.8724, kb_relative_information_score: 269.4442, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9614, predictive_accuracy: 0.9595, prior_entropy: 0.7055, recall: 0.9595, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5129, scimark_benchmark: 1267.5495, usercpu_time_millis: 2110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9724, kappa: 0.9117, kb_relative_information_score: 284.8916, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9735, predictive_accuracy: 0.972, prior_entropy: 0.7055, recall: 0.972, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4268, scimark_benchmark: 1345.0434, usercpu_time_millis: 3810, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 300.1349, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3181, scimark_benchmark: 1208.4192, usercpu_time_millis: 1630, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 1342.5562, usercpu_time_millis: 3880, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9752, kappa: 0.92, kb_relative_information_score: 284.223, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9755, predictive_accuracy: 0.9751, prior_entropy: 0.7055, recall: 0.9751, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3965, scimark_benchmark: 1132.1341, usercpu_time_millis: 1028170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1028120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9907, kappa: 0.9698, kb_relative_information_score: 305.5388, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.7055, recall: 0.9907, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2457, scimark_benchmark: 1070.0132, usercpu_time_millis: 7540, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9781, kappa: 0.9287, kb_relative_information_score: 292.4844, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9781, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3764, scimark_benchmark: 905.2913, usercpu_time_millis: 139710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 139700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9688, kappa: 0.8988, kb_relative_information_score: 278.9712, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4357, scimark_benchmark: 1054.6786, usercpu_time_millis: 4690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9652, kappa: 0.8851, kb_relative_information_score: 260.0759, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9654, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4614, scimark_benchmark: 634.1667, usercpu_time_millis: 2050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9844, kappa: 0.9491, kb_relative_information_score: 252.2556, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3598, scimark_benchmark: 638.4565, usercpu_time_millis: 2820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9725, kappa: 0.9128, kb_relative_information_score: 284.8916, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9744, predictive_accuracy: 0.972, prior_entropy: 0.7055, recall: 0.972, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4268, scimark_benchmark: 784.9596, usercpu_time_millis: 8740, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 6340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9569, kappa: 0.8618, kb_relative_information_score: 265.6333, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9579, predictive_accuracy: 0.9564, prior_entropy: 0.7055, recall: 0.9564, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5323, scimark_benchmark: 861.8465, usercpu_time_millis: 2930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9781, kappa: 0.9287, kb_relative_information_score: 292.4198, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9781, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3759, scimark_benchmark: 1134.8629, usercpu_time_millis: 4733550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4733540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9594, kappa: 0.8676, kb_relative_information_score: 263.9722, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.7055, recall: 0.9595, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.5082, scimark_benchmark: 842.9414, usercpu_time_millis: 3300930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3300920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 294.1873, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2924, scimark_benchmark: 1370.2953, usercpu_time_millis: 3483330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3483290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9722, kappa: 0.9106, kb_relative_information_score: 285.1289, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9727, predictive_accuracy: 0.972, prior_entropy: 0.7055, recall: 0.972, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4098, scimark_benchmark: 1164.5193, usercpu_time_millis: 4277180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4277160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9815, kappa: 0.9408, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9822, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 1385.3125, usercpu_time_millis: 3380860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3380850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9907, kappa: 0.9698, kb_relative_information_score: 305.231, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.7055, recall: 0.9907, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2561, scimark_benchmark: 1382.3588, usercpu_time_millis: 3500990, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 3500750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9781, kappa: 0.9287, kb_relative_information_score: 292.4844, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9781, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3764, scimark_benchmark: 1298.6268, usercpu_time_millis: 137870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 137850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.7249, kb_relative_information_score: 2.7145, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.7055, recall: 0.81, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.6295, usercpu_time_millis: 553970, usercpu_time_millis_testing: 166650, usercpu_time_millis_training: 387320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 295.9557, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3044, scimark_benchmark: 1462.929, usercpu_time_millis: 3436410, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 3436090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9876, kappa: 0.96, kb_relative_information_score: 302.841, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9878, predictive_accuracy: 0.9875, prior_entropy: 0.7055, recall: 0.9875, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2462, scimark_benchmark: 1200.3331, usercpu_time_millis: 11700, usercpu_time_millis_testing: 11700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9875, kappa: 0.9595, kb_relative_information_score: 298.7184, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.7055, recall: 0.9875, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2757, scimark_benchmark: 1480.8522, usercpu_time_millis: 3457880, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 3457570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 300.1349, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3181, scimark_benchmark: 1382.6802, usercpu_time_millis: 3895380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3895360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.9621, kappa: 0.8754, kb_relative_information_score: 259.8854, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9621, predictive_accuracy: 0.9626, prior_entropy: 0.7055, recall: 0.9626, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4832, scimark_benchmark: 1393.7796, usercpu_time_millis: 3466780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3466770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9784, kappa: 0.9305, kb_relative_information_score: 292.5133, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9789, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3764, scimark_benchmark: 1374.547, usercpu_time_millis: 3213380, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3213300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 267.1775, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3221, scimark_benchmark: 1143.8416, usercpu_time_millis: 3923190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3923170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9814, kappa: 0.94, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9817, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 1376.8876, usercpu_time_millis: 3470600, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3470520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9875, kappa: 0.9595, kb_relative_information_score: 301.742, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.7055, recall: 0.9875, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2837, scimark_benchmark: 1398.7771, usercpu_time_millis: 3349770, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3349630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9572, kappa: 0.8635, kb_relative_information_score: 264.7403, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9589, predictive_accuracy: 0.9564, prior_entropy: 0.7055, recall: 0.9564, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5323, scimark_benchmark: 1400.7538, usercpu_time_millis: 3545870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3545860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9688, kappa: 0.8988, kb_relative_information_score: 281.3143, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.7055, recall: 0.9688, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3717, scimark_benchmark: 1212.123, usercpu_time_millis: 14820, usercpu_time_millis_testing: 14820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9719, kappa: 0.9083, kb_relative_information_score: 285.2033, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9718, predictive_accuracy: 0.972, prior_entropy: 0.7055, recall: 0.972, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.3268, scimark_benchmark: 1141.4005, usercpu_time_millis: 13880, usercpu_time_millis_testing: 13880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9846, kappa: 0.9503, kb_relative_information_score: 300.1349, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.985, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3181, scimark_benchmark: 1114.8367, usercpu_time_millis: 640, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9783, kappa: 0.9296, kb_relative_information_score: 291.0373, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9784, predictive_accuracy: 0.9782, prior_entropy: 0.7055, recall: 0.9782, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.3489, scimark_benchmark: 1340.3869, usercpu_time_millis: 602120, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 601990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9813, kappa: 0.9393, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 899.0294, usercpu_time_millis: 4990, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9876, kappa: 0.96, kb_relative_information_score: 303.9458, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9878, predictive_accuracy: 0.9875, prior_entropy: 0.7055, recall: 0.9875, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2845, scimark_benchmark: 1054.5536, usercpu_time_millis: 3860, usercpu_time_millis_testing: 2850, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9658, kappa: 0.8894, kb_relative_information_score: 272.3343, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4713, scimark_benchmark: 1082.4157, usercpu_time_millis: 4600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9814, kappa: 0.94, kb_relative_information_score: 296.3241, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9817, predictive_accuracy: 0.9813, prior_entropy: 0.7055, recall: 0.9813, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3485, scimark_benchmark: 885.3871, usercpu_time_millis: 6970, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9843, kappa: 0.9484, kb_relative_information_score: 247.0787, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.7055, recall: 0.9844, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3735, scimark_benchmark: 880.7848, usercpu_time_millis: 1470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9652, kappa: 0.8851, kb_relative_information_score: 261.4688, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9654, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4619, scimark_benchmark: 999.6083, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9907, kappa: 0.9698, kb_relative_information_score: 305.5388, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.7055, recall: 0.9907, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2457, scimark_benchmark: 1195.6722, usercpu_time_millis: 5690, usercpu_time_millis_testing: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.966, kappa: 0.8907, kb_relative_information_score: 277.0659, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.309, number_of_instances: 321, precision: 0.9666, predictive_accuracy: 0.9657, prior_entropy: 0.7055, recall: 0.9657, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4718, scimark_benchmark: 1138.5637, usercpu_time_millis: 1450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1420,

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