OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 4565 Supervised Classification balance-scale 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8399, kappa: 0.6775, kb_relative_information_score: 3915.4981, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7648, scimark_benchmark: 1280.6338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 1315.2176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 4622.738, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9956, recall: 0.8835, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5247, scimark_benchmark: 1354.3488, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.883, kappa: 0.7642, kb_relative_information_score: 3991.2805, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8834, predictive_accuracy: 0.8832, prior_entropy: 0.9956, recall: 0.8832, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5708, scimark_benchmark: 1337.446, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9513, kappa: 0.902, kb_relative_information_score: 5103.3462, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9956, recall: 0.9514, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4167, scimark_benchmark: 996.6105, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 5780.6548, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9956, recall: 0.9898, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2283, scimark_benchmark: 1337.5749, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 1302.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8562, kappa: 0.7107, kb_relative_information_score: 4188.4555, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8563, predictive_accuracy: 0.8562, prior_entropy: 0.9956, recall: 0.8562, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7289, scimark_benchmark: 1360.2999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8978, kappa: 0.7942, kb_relative_information_score: 1970.8335, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9059, predictive_accuracy: 0.8989, prior_entropy: 0.9956, recall: 0.8989, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7686, scimark_benchmark: 854.6529, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 1335.5424, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8583, kappa: 0.7146, kb_relative_information_score: 4377.9359, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8583, predictive_accuracy: 0.8584, prior_entropy: 0.9956, recall: 0.8584, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6872, scimark_benchmark: 1350.4702, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6179, kappa: 0.2467, kb_relative_information_score: 692.149, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.6317, predictive_accuracy: 0.6192, prior_entropy: 0.9956, recall: 0.6192, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9743, scimark_benchmark: 1326.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.886, kappa: 0.7704, kb_relative_information_score: 1962.9391, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8943, predictive_accuracy: 0.8872, prior_entropy: 0.9956, recall: 0.8872, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7702, scimark_benchmark: 883.2709, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8798, kappa: 0.7579, kb_relative_information_score: 1957.4642, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8869, predictive_accuracy: 0.881, prior_entropy: 0.9956, recall: 0.881, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7715, scimark_benchmark: 1337.5749, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9846, kappa: 0.9691, kb_relative_information_score: 4992.0954, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9847, predictive_accuracy: 0.9846, prior_entropy: 0.9956, recall: 0.9846, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3728, scimark_benchmark: 1346.8749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8182, kappa: 0.6369, kb_relative_information_score: 3245.5949, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8449, predictive_accuracy: 0.8234, prior_entropy: 0.9956, recall: 0.8234, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.685, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9416, kappa: 0.8824, kb_relative_information_score: 4640.0369, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9424, predictive_accuracy: 0.9418, prior_entropy: 0.9956, recall: 0.9418, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4653, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8627, kappa: 0.7235, kb_relative_information_score: 1956.3917, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8688, predictive_accuracy: 0.864, prior_entropy: 0.9956, recall: 0.864, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7728, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6416, kappa: 0.278, kb_relative_information_score: 1382.387, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.6435, predictive_accuracy: 0.6448, prior_entropy: 0.9956, recall: 0.6448, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8989, scimark_benchmark: 1350.4702, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9249, kappa: 0.8486, kb_relative_information_score: 3946.4114, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9263, predictive_accuracy: 0.9251, prior_entropy: 0.9956, recall: 0.9251, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5407, scimark_benchmark: 1317.0962, usercpu_time_millis: 400, usercpu_time_millis_testing: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8658, kappa: 0.7299, kb_relative_information_score: 4558.9595, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8658, predictive_accuracy: 0.8659, prior_entropy: 0.9956, recall: 0.8659, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7346, scimark_benchmark: 1330.6247, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8273, kappa: 0.6529, kb_relative_information_score: 72.6722, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8277, predictive_accuracy: 0.8272, prior_entropy: 0.9956, recall: 0.8272, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9888, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9534, kappa: 0.9061, kb_relative_information_score: 5662.6613, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 0.9956, recall: 0.9534, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4329, scimark_benchmark: 1316.8289, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 1320.2717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9822, kappa: 0.9642, kb_relative_information_score: 5280.5043, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9825, predictive_accuracy: 0.9822, prior_entropy: 0.9956, recall: 0.9822, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3342, scimark_benchmark: 1264.0609, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8961, kappa: 0.7906, kb_relative_information_score: 4007.1745, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8967, predictive_accuracy: 0.8963, prior_entropy: 0.9956, recall: 0.8963, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5553, scimark_benchmark: 1314.7093, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 1320.4762, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8998, kappa: 0.7982, kb_relative_information_score: 4874.4408, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8998, predictive_accuracy: 0.8998, prior_entropy: 0.9956, recall: 0.8998, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6088, scimark_benchmark: 1239.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8998, kappa: 0.7982, kb_relative_information_score: 4874.4408, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8998, predictive_accuracy: 0.8998, prior_entropy: 0.9956, recall: 0.8998, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6088, scimark_benchmark: 1313.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9539, kappa: 0.9072, kb_relative_information_score: 3602.0138, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9555, predictive_accuracy: 0.9541, prior_entropy: 0.9956, recall: 0.9541, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5665, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 5644.5017, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4395, scimark_benchmark: 1297.6356, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 5266.5042, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4131, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8514, kappa: 0.7009, kb_relative_information_score: 4069.5628, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8514, predictive_accuracy: 0.8514, prior_entropy: 0.9956, recall: 0.8514, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7409, scimark_benchmark: 1359.379, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8579, kappa: 0.714, kb_relative_information_score: 4458.0726, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8579, predictive_accuracy: 0.8579, prior_entropy: 0.9956, recall: 0.8579, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7562, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.5068, kappa: 0.078, kb_relative_information_score: 257.1453, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.5521, predictive_accuracy: 0.5248, prior_entropy: 0.9956, recall: 0.5248, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6893, root_relative_squared_error: 1.383, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8724, kappa: 0.743, kb_relative_information_score: 4447.3504, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 0.9956, recall: 0.8725, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6753, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6291, kappa: 0.2526, kb_relative_information_score: 1607.011, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.6302, predictive_accuracy: 0.6318, prior_entropy: 0.9956, recall: 0.6318, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6068, root_relative_squared_error: 1.2173, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8468, kappa: 0.6913, kb_relative_information_score: 4320.8666, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9956, recall: 0.847, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7846, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.1974, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8399, kappa: 0.6775, kb_relative_information_score: 3915.4981, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7648, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 1.6397, build_memory: 1377714021.3325, f_measure: 0.959, kappa: 0.9175, kb_relative_information_score: 5728.6789, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9591, predictive_accuracy: 0.959, prior_entropy: 0.9956, recall: 0.959, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3864, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.8926, build_memory: 925466455.1936, f_measure: 0.9584, kappa: 0.9162, kb_relative_information_score: 5724.0275, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9956, recall: 0.9584, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3811, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 0.4423, build_memory: 888266044.8922, f_measure: 0.951, kappa: 0.9013, kb_relative_information_score: 5631.4959, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9511, predictive_accuracy: 0.951, prior_entropy: 0.9956, recall: 0.951, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4113, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.2381, build_memory: 1010020763.209, f_measure: 0.9537, kappa: 0.9068, kb_relative_information_score: 5626.4921, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9956, recall: 0.9538, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.404, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 0.1294, build_memory: 93358638.5818, f_measure: 0.9342, kappa: 0.8674, kb_relative_information_score: 5425.4406, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9343, predictive_accuracy: 0.9342, prior_entropy: 0.9956, recall: 0.9342, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4631, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 0.133, build_memory: 1245927733.5142, f_measure: 0.9342, kappa: 0.8674, kb_relative_information_score: 5425.4406, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9343, predictive_accuracy: 0.9342, prior_entropy: 0.9956, recall: 0.9342, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4631, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 4.4152, build_memory: 296586734.7187, f_measure: 0.9076, kappa: 0.8139, kb_relative_information_score: 4353.1254, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9083, predictive_accuracy: 0.9078, prior_entropy: 0.9956, recall: 0.9078, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5095, scimark_benchmark: 838.5123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 0.4304, build_memory: 1060927078.0838, f_measure: 0.8867, kappa: 0.7719, kb_relative_information_score: 4297.1356, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8869, predictive_accuracy: 0.8869, prior_entropy: 0.9956, recall: 0.8869, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5413, scimark_benchmark: 946.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, build_cpu_time: 0.2473, build_memory: 1334564693.7114, f_measure: 0.8859, kappa: 0.7702, kb_relative_information_score: 4290.2782, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8862, predictive_accuracy: 0.8861, prior_entropy: 0.9956, recall: 0.8861, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5438, scimark_benchmark: 944.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, build_cpu_time: 0.1572, build_memory: 1801385794.0787, f_measure: 0.8872, kappa: 0.7727, kb_relative_information_score: 4290.6897, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8875, predictive_accuracy: 0.8874, prior_entropy: 0.9956, recall: 0.8874, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5456, scimark_benchmark: 934.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.0561, build_memory: 133038396.3482, f_measure: 0.8845, kappa: 0.7673, kb_relative_information_score: 4280.8009, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8847, predictive_accuracy: 0.8846, prior_entropy: 0.9956, recall: 0.8846, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5519, scimark_benchmark: 944.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.0555, build_memory: 136045457.76, f_measure: 0.8845, kappa: 0.7673, kb_relative_information_score: 4280.8009, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8847, predictive_accuracy: 0.8846, prior_entropy: 0.9956, recall: 0.8846, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5519, scimark_benchmark: 941.0102,

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