Task
Supervised Classification on sick

Supervised Classification on sick

Task 3024 Supervised Classification sick 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 0.9483, build_memory: 2707169031.1343, f_measure: 0.9877, kappa: 0.8911, kb_relative_information_score: 29932.4297, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9877, predictive_accuracy: 0.9879, prior_entropy: 0.3333, recall: 0.9879, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3837, scimark_benchmark: 896.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 1.7973, build_memory: 1507141168.1856, f_measure: 0.9881, kappa: 0.8941, kb_relative_information_score: 29975.7267, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.988, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.38, scimark_benchmark: 932.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 3.5452, build_memory: 679663192.0689, f_measure: 0.9883, kappa: 0.8965, kb_relative_information_score: 30037.8118, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9883, predictive_accuracy: 0.9885, prior_entropy: 0.3333, recall: 0.9885, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3766, scimark_benchmark: 926.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 5.9219, build_memory: 1794593399.1143, f_measure: 0.9885, kappa: 0.898, kb_relative_information_score: 30024.8975, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9884, predictive_accuracy: 0.9887, prior_entropy: 0.3333, recall: 0.9887, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.3743, scimark_benchmark: 932.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 34.0862, build_memory: 112227276.2657, f_measure: 0.9861, kappa: 0.8777, kb_relative_information_score: 28326.8078, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.986, predictive_accuracy: 0.9863, prior_entropy: 0.3333, recall: 0.9863, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4108, scimark_benchmark: 943.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 1.4327, build_memory: 839560332.3421, f_measure: 0.983, kappa: 0.8503, kb_relative_information_score: 29681.3519, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.3333, recall: 0.9831, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.5175, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, build_cpu_time: 3.616, build_memory: 805993575.1843, f_measure: 0.9862, kappa: 0.8791, kb_relative_information_score: 31203.6959, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9862, predictive_accuracy: 0.9864, prior_entropy: 0.3333, recall: 0.9864, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.112, root_relative_squared_error: 0.4669, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, build_cpu_time: 7.45, build_memory: 648322894.3173, f_measure: 0.9876, kappa: 0.891, kb_relative_information_score: 31839.7697, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9875, predictive_accuracy: 0.9877, prior_entropy: 0.3333, recall: 0.9877, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4495, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, build_cpu_time: 11.3465, build_memory: 1367891675.7001, f_measure: 0.9898, kappa: 0.9103, kb_relative_information_score: 32867.2797, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4096, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, build_cpu_time: 25.6168, build_memory: 1048914068.4959, f_measure: 0.991, kappa: 0.9211, kb_relative_information_score: 33424.5393, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.3333, recall: 0.9911, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3906, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9867, kappa: 0.8831, kb_relative_information_score: 30719.1067, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9866, predictive_accuracy: 0.9868, prior_entropy: 0.3333, recall: 0.9868, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4553, scimark_benchmark: 1054.3694, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9091, kb_relative_information_score: -109.3697, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9803, kappa: 0.8254, kb_relative_information_score: 28626.59, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9801, predictive_accuracy: 0.9807, prior_entropy: 0.3333, recall: 0.9807, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5794, scimark_benchmark: 1345.5871, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9642, kappa: 0.7, kb_relative_information_score: 20315.8517, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.966, predictive_accuracy: 0.9629, prior_entropy: 0.3333, recall: 0.9629, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.8038, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9869, kappa: 0.8857, kb_relative_information_score: 30595.3163, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.3333, recall: 0.9869, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4504, scimark_benchmark: 1351.788, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.8723, kappa: 0.0275, kb_relative_information_score: -28696.5118, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.8884, predictive_accuracy: 0.8576, prior_entropy: 0.3333, recall: 0.8576, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.5736, scimark_benchmark: 1466.6185, usercpu_time_millis: 1220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.9614, kappa: 0.6331, kb_relative_information_score: 21427.2431, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9624, predictive_accuracy: 0.9652, prior_entropy: 0.3333, recall: 0.9652, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.7775, scimark_benchmark: 1350.9691, usercpu_time_millis: 2660, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9882, kappa: 0.8955, kb_relative_information_score: 30836.2848, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.4355, scimark_benchmark: 1324.8395, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9861, kappa: 0.8769, kb_relative_information_score: 28165.8221, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.986, predictive_accuracy: 0.9864, prior_entropy: 0.3333, recall: 0.9864, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4565, scimark_benchmark: 1066.7184, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.9719, kappa: 0.7502, kb_relative_information_score: 24290.5136, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9715, predictive_accuracy: 0.9726, prior_entropy: 0.3333, recall: 0.9726, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.6769, scimark_benchmark: 1313.5726, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9826, kappa: 0.8424, kb_relative_information_score: 24830.74, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.983, predictive_accuracy: 0.9834, prior_entropy: 0.3333, recall: 0.9834, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4602, scimark_benchmark: 1341.5768, usercpu_time_millis: 1090, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9784, kappa: 0.8084, kb_relative_information_score: 24162.12, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9789, prior_entropy: 0.3333, recall: 0.9789, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.5729, scimark_benchmark: 1319.5177, usercpu_time_millis: 9770, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 9700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.9419, kappa: 0.4797, kb_relative_information_score: 11362.976, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9404, predictive_accuracy: 0.9436, prior_entropy: 0.3333, recall: 0.9436, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.9901, scimark_benchmark: 1304.9611, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9637, kappa: 0.6642, kb_relative_information_score: 10649.2047, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9633, predictive_accuracy: 0.9661, prior_entropy: 0.3333, recall: 0.9661, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.6874, scimark_benchmark: 908.2231, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9093, kappa: 0.0023, kb_relative_information_score: 9103.1467, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9181, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2474, root_relative_squared_error: 1.0319, scimark_benchmark: 1369.9744, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 9090.7979, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 939.5088, usercpu_time_millis: 5270, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9678, kappa: 0.7041, kb_relative_information_score: 13283.8316, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9675, predictive_accuracy: 0.9696, prior_entropy: 0.3333, recall: 0.9696, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6501, scimark_benchmark: 937.5996, usercpu_time_millis: 1475200, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 1470830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.9445, kappa: 0.4612, kb_relative_information_score: 14993.5214, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9438, predictive_accuracy: 0.9514, prior_entropy: 0.3333, recall: 0.9514, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9191, scimark_benchmark: 934.4732, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9579, kappa: 0.6085, kb_relative_information_score: 13856.0867, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9572, predictive_accuracy: 0.961, prior_entropy: 0.3333, recall: 0.961, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.7415, scimark_benchmark: 1335.643, usercpu_time_millis: 3770, usercpu_time_millis_testing: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9579, kappa: 0.6085, kb_relative_information_score: 13853.0866, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9572, predictive_accuracy: 0.9609, prior_entropy: 0.3333, recall: 0.9609, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.7416, scimark_benchmark: 854.5188, usercpu_time_millis: 6980, usercpu_time_millis_testing: 6980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9711, kappa: 0.7457, kb_relative_information_score: 20877.5062, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9708, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.6162, scimark_benchmark: 915.9324, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9703, kappa: 0.737, kb_relative_information_score: 21431.662, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9699, predictive_accuracy: 0.9708, prior_entropy: 0.3333, recall: 0.9708, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6097, scimark_benchmark: 889.3151, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9716, kappa: 0.7484, kb_relative_information_score: 22136.1262, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9712, predictive_accuracy: 0.9721, prior_entropy: 0.3333, recall: 0.9721, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.6036, scimark_benchmark: 1372.2145, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9732, kappa: 0.7652, kb_relative_information_score: 22694.7135, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.973, predictive_accuracy: 0.9734, prior_entropy: 0.3333, recall: 0.9734, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.5995, scimark_benchmark: 1307.4861, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9667, kappa: 0.6909, kb_relative_information_score: 13236.0564, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9668, predictive_accuracy: 0.9691, prior_entropy: 0.3333, recall: 0.9691, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.162, root_relative_squared_error: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9733, kappa: 0.7662, kb_relative_information_score: 23217.0288, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9731, predictive_accuracy: 0.9734, prior_entropy: 0.3333, recall: 0.9734, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5968, scimark_benchmark: 1304.9611, usercpu_time_millis: 1240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.975, kappa: 0.7822, kb_relative_information_score: 20453.6677, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.975, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.6082, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.9691, kappa: 0.7103, kb_relative_information_score: 24390.9537, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.97, predictive_accuracy: 0.9716, prior_entropy: 0.3333, recall: 0.9716, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.7028, scimark_benchmark: 1341.4232, usercpu_time_millis: 5080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.9599, kappa: 0.6396, kb_relative_information_score: 19587.2728, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.959, predictive_accuracy: 0.9613, prior_entropy: 0.3333, recall: 0.9613, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8205, scimark_benchmark: 923.6051, usercpu_time_millis: 12200, usercpu_time_millis_testing: 12200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9599, kappa: 0.6396, kb_relative_information_score: 19543.6832, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.959, predictive_accuracy: 0.9613, prior_entropy: 0.3333, recall: 0.9613, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8203, scimark_benchmark: 1305.7138, usercpu_time_millis: 2940, usercpu_time_millis_testing: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9879, kappa: 0.8938, kb_relative_information_score: 31093.6844, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4446, scimark_benchmark: 1281.7531, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9661, kappa: 0.6881, kb_relative_information_score: 11498.7402, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9657, predictive_accuracy: 0.968, prior_entropy: 0.3333, recall: 0.968, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.6819, scimark_benchmark: 1356.6978, usercpu_time_millis: 69820, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 68610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.9574, kappa: 0.5937, kb_relative_information_score: 19821.8999, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.958, predictive_accuracy: 0.9618, prior_entropy: 0.3333, recall: 0.9618, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.8152, scimark_benchmark: 935.5075, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9857, kappa: 0.8715, kb_relative_information_score: 28587.9181, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9858, predictive_accuracy: 0.9861, prior_entropy: 0.3333, recall: 0.9861, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4078, scimark_benchmark: 896.937, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9783, kappa: 0.8104, kb_relative_information_score: 24837.9919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 939.5088, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9745, kappa: 0.7809, kb_relative_information_score: 19061.7428, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 0.3333, recall: 0.9742, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6182, scimark_benchmark: 904.3681, usercpu_time_millis: 670, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9629, kappa: 0.6354, kb_relative_information_score: 15657.7948, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.969, predictive_accuracy: 0.9682, prior_entropy: 0.3333, recall: 0.9682, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.6294, scimark_benchmark: 1349.9917, usercpu_time_millis: 1710, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8286, kb_relative_information_score: 19744.4279, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.3333, recall: 0.98, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012, scimark_benchmark: 1341.4232, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9861, kappa: 0.8755, kb_relative_information_score: 28515.3444, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9863, predictive_accuracy: 0.9866, prior_entropy: 0.3333, recall: 0.9866, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.4039, scimark_benchmark: 1331.5882, usercpu_time_millis: 2550, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9873, kappa: 0.8876, kb_relative_information_score: 30986.3447, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9872, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4161, scimark_benchmark: 1349.1028, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.9419, kappa: 0.4797, kb_relative_information_score: 11362.976, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9404, predictive_accuracy: 0.9436, prior_entropy: 0.3333, recall: 0.9436, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.9901, scimark_benchmark: 1349.1028, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9803, kappa: 0.8229, kb_relative_information_score: 20038.7296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.981, prior_entropy: 0.3333, recall: 0.981, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.503, scimark_benchmark: 1342.4239, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9783, kappa: 0.8104, kb_relative_information_score: 24837.9919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 1249.4068, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9634, kappa: 0.6408, kb_relative_information_score: 16048.5634, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9695, predictive_accuracy: 0.9686, prior_entropy: 0.3333, recall: 0.9686, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.6262, scimark_benchmark: 894.7222, usercpu_time_millis: 5190, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9796, kappa: 0.8216, kb_relative_information_score: 27092.4606, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.3333, recall: 0.9797, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5571, scimark_benchmark: 1315.933, usercpu_time_millis: 650, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9803, kappa: 0.8229, kb_relative_information_score: 20038.7296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.981, prior_entropy: 0.3333, recall: 0.981, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.503, scimark_benchmark: 1320.9026, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8286, kb_relative_information_score: 19744.4279, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.3333, recall: 0.98, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012, scimark_benchmark: 1064.8317, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9529, kappa: 0.5536, kb_relative_information_score: 15065.4536, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9523, predictive_accuracy: 0.9573, prior_entropy: 0.3333, recall: 0.9573, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.182, root_relative_squared_error: 0.7591, scimark_benchmark: 1337.6765, usercpu_time_millis: 86880, usercpu_time_millis_testing: 86880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1312.0581, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 1335.643, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 933.1165, usercpu_time_millis: 4540, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1322.7383, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 926.6704, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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