Task
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13143 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9997, f_measure: 0.983, kappa: 0.9811, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 3.3198, recall: 0.983, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.948, kappa: 0.9423, kb_relative_information_score: 61649.9373, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 3.3198, recall: 0.9481, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3727, scimark_benchmark: 943.6956, usercpu_time_millis: 41230, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 40300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0228, kb_relative_information_score: 4671.0907, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0127, predictive_accuracy: 0.1125, prior_entropy: 3.3198, recall: 0.1125, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.4046, scimark_benchmark: 947.9494, usercpu_time_millis: 1470, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8316, kappa: 0.8134, kb_relative_information_score: 57646.9224, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8312, predictive_accuracy: 0.8321, prior_entropy: 3.3198, recall: 0.8321, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.525, scimark_benchmark: 947.9494, usercpu_time_millis: 313680, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 311940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 20891.3201, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 3.3198, recall: 0.9765, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077, scimark_benchmark: 947.9494, usercpu_time_millis: 28404930, usercpu_time_millis_testing: 16063340, usercpu_time_millis_training: 12341590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.264, kappa: 0.2867, kb_relative_information_score: 9362.8745, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.231, predictive_accuracy: 0.361, prior_entropy: 3.3198, recall: 0.361, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.9655, scimark_benchmark: 901.0726, usercpu_time_millis: 14600, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 14350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 6949.808, build_memory: 3178694551.2, f_measure: 0.9497, kappa: 0.9442, kb_relative_information_score: 63896.0559, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 3.3198, recall: 0.9498, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.3231, scimark_benchmark: 925.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 12987.2335, build_memory: 2330283726.4, f_measure: 0.9521, kappa: 0.9468, kb_relative_information_score: 63961.0614, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3173, scimark_benchmark: 909.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 27416.2425, build_memory: 2542611798.4, f_measure: 0.9543, kappa: 0.9492, kb_relative_information_score: 64019.1825, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 3.3198, recall: 0.9543, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3128, scimark_benchmark: 933.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 53571.6654, build_memory: 2752958830.4, f_measure: 0.9544, kappa: 0.9493, kb_relative_information_score: 64037.5476, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 3.3198, recall: 0.9544, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3112, scimark_benchmark: 943.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9238, kappa: 0.9154, kb_relative_information_score: 63827.5849, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9237, predictive_accuracy: 0.9239, prior_entropy: 3.3198, recall: 0.9239, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3594, scimark_benchmark: 902.4773, usercpu_time_millis: 55443640, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 55443100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.0718, kappa: 0.1095, kb_relative_information_score: 10312.9772, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0436, predictive_accuracy: 0.2046, prior_entropy: 3.3198, recall: 0.2046, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784, scimark_benchmark: 894.7455, usercpu_time_millis: 34650, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 34450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9602, kappa: 0.9557, kb_relative_information_score: 64474.7661, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 3.3198, recall: 0.9602, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.3006, scimark_benchmark: 923.9763, usercpu_time_millis: 22399530, usercpu_time_millis_testing: 14490, usercpu_time_millis_training: 22385040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8665, kappa: 0.8521, kb_relative_information_score: 58649.6799, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8664, predictive_accuracy: 0.867, prior_entropy: 3.3198, recall: 0.867, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4684, scimark_benchmark: 941.7954, usercpu_time_millis: 6667530, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 6667270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9576, kappa: 0.9529, kb_relative_information_score: 62683.2891, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 3.3198, recall: 0.9576, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3265, scimark_benchmark: 1306.6379, usercpu_time_millis: 7273790, usercpu_time_millis_testing: 25010, usercpu_time_millis_training: 7248780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.6869, kappa: 0.659, kb_relative_information_score: 17673.7788, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7368, predictive_accuracy: 0.6934, prior_entropy: 3.3198, recall: 0.6934, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9072, scimark_benchmark: 926.6717, usercpu_time_millis: 1879450, usercpu_time_millis_testing: 567140, usercpu_time_millis_training: 1312310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.0718, kappa: 0.1095, kb_relative_information_score: 10312.9772, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0436, predictive_accuracy: 0.2046, prior_entropy: 3.3198, recall: 0.2046, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784, scimark_benchmark: 938.9865, usercpu_time_millis: 33680, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 33490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.0718, kappa: 0.1095, kb_relative_information_score: 10312.9772, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0436, predictive_accuracy: 0.2046, prior_entropy: 3.3198, recall: 0.2046, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784, scimark_benchmark: 933.8635, usercpu_time_millis: 32990, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 32820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.0718, kappa: 0.1095, kb_relative_information_score: 10312.9772, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0436, predictive_accuracy: 0.2046, prior_entropy: 3.3198, recall: 0.2046, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784, scimark_benchmark: 943.2817, usercpu_time_millis: 35180, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 34990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9132, kappa: 0.9037, kb_relative_information_score: 62872.2836, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9131, predictive_accuracy: 0.9133, prior_entropy: 3.3198, recall: 0.9133, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3823, scimark_benchmark: 938.2848, usercpu_time_millis: 27494330, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 27494070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.0718, kappa: 0.1095, kb_relative_information_score: 10312.9772, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0436, predictive_accuracy: 0.2046, prior_entropy: 3.3198, recall: 0.2046, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784, scimark_benchmark: 911.3823, usercpu_time_millis: 36440, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 36250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.6869, kappa: 0.659, kb_relative_information_score: 17673.7788, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7368, predictive_accuracy: 0.6934, prior_entropy: 3.3198, recall: 0.6934, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9072, scimark_benchmark: 926.6717, usercpu_time_millis: 1861400, usercpu_time_millis_testing: 552760, usercpu_time_millis_training: 1308640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.6869, kappa: 0.659, kb_relative_information_score: 17673.7788, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.7368, predictive_accuracy: 0.6934, prior_entropy: 3.3198, recall: 0.6934, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9072, scimark_benchmark: 942.6953, usercpu_time_millis: 1637070, usercpu_time_millis_testing: 508610, usercpu_time_millis_training: 1128460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8203, kappa: 0.8014, kb_relative_information_score: 54168.6051, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8202, predictive_accuracy: 0.8213, prior_entropy: 3.3198, recall: 0.8213, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5414, scimark_benchmark: 941.7954, usercpu_time_millis: 3754420, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 3754140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0228, kb_relative_information_score: 0.7782, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.0127, predictive_accuracy: 0.1125, prior_entropy: 3.3198, recall: 0.1125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.5985, kappa: 0.5575, kb_relative_information_score: 40710.7074, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.6094, predictive_accuracy: 0.602, prior_entropy: 3.3198, recall: 0.602, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.9406, usercpu_time_millis: 163.65, usercpu_time_millis_testing: 4.49, usercpu_time_millis_training: 159.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 63384.6427, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 3.3198, recall: 0.9605, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9294, kappa: 0.9216, kb_relative_information_score: 62947.6774, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9295, predictive_accuracy: 0.9295, prior_entropy: 3.3198, recall: 0.9295, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 67524.1822, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 3.3198, recall: 0.974, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9759, kappa: 0.9732, kb_relative_information_score: 1752.5109, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 3.3198, recall: 0.9759, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9143, kappa: 0.9043, kb_relative_information_score: 54229.0087, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9152, predictive_accuracy: 0.9139, prior_entropy: 3.3198, recall: 0.9139, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.6753, kappa: 0.6367, kb_relative_information_score: 543.0816, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.765, predictive_accuracy: 0.6726, prior_entropy: 3.3198, recall: 0.6726, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.957, kappa: 0.9522, kb_relative_information_score: 61110.0392, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 3.3198, recall: 0.957, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9747, kappa: 0.9719, kb_relative_information_score: 67574.4897, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 3.3198, recall: 0.9747, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9516, kappa: 0.9463, kb_relative_information_score: 60674.7207, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 3.3198, recall: 0.9516, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9574, kappa: 0.9526, kb_relative_information_score: 62232.7526, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 3.3198, recall: 0.9574, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9144, kappa: 0.9042, kb_relative_information_score: 639.0839, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9191, predictive_accuracy: 0.9138, prior_entropy: 3.3198, recall: 0.9138, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8959, kappa: 0.8837, kb_relative_information_score: 47766.1478, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8973, predictive_accuracy: 0.8954, prior_entropy: 3.3198, recall: 0.8954, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 1209.9332, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 3.3198, recall: 0.9772, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9966,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 61778.6156, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 3.3198, recall: 0.96, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3443,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.962, kappa: 0.9577, kb_relative_information_score: 851.5562, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 3.3198, recall: 0.962, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9607, kappa: 0.9563, kb_relative_information_score: 62542.3152, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 3.3198, recall: 0.9607, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3302,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9137, kappa: 0.9032, kb_relative_information_score: 62906.7324, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9166, predictive_accuracy: 0.9129, prior_entropy: 3.3198, recall: 0.9129, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 62563.8508, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 3.3198, recall: 0.9587, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9728, kappa: 0.9698, kb_relative_information_score: 67544.4949, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 3.3198, recall: 0.9728, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9475, kappa: 0.9416, kb_relative_information_score: 61977.1117, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 3.3198, recall: 0.9475, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 62207.6748, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 3.3198, recall: 0.9525, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 62743.7338, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 3.3198, recall: 0.925, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.3562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9483, kappa: 0.9423, kb_relative_information_score: 52126.1697, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9493, predictive_accuracy: 0.948, prior_entropy: 3.3198, recall: 0.948, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9664, kappa: 0.9627, kb_relative_information_score: 63128.5732, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 3.3198, recall: 0.9665, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 63289.1106, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 3.3198, recall: 0.9587, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.955, kappa: 0.95, kb_relative_information_score: 1115.2111, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9551, predictive_accuracy: 0.955, prior_entropy: 3.3198, recall: 0.955, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 68076.1531, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3198, recall: 0.98, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9646, kappa: 0.9607, kb_relative_information_score: 63717.5158, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 3.3198, recall: 0.9646, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9611, kappa: 0.9564, kb_relative_information_score: 66694.8384, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9622, predictive_accuracy: 0.9608, prior_entropy: 3.3198, recall: 0.9608, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2512,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9556, kappa: 0.9506, kb_relative_information_score: 65416.8635, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9559, predictive_accuracy: 0.9555, prior_entropy: 3.3198, recall: 0.9555, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9537, kappa: 0.9485, kb_relative_information_score: 61190.1835, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 3.3198, recall: 0.9537, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9678, kappa: 0.9642, kb_relative_information_score: 66828.3456, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 3.3198, recall: 0.9678, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8398, kappa: 0.8187, kb_relative_information_score: 601.7143, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8573, predictive_accuracy: 0.8368, prior_entropy: 3.3198, recall: 0.8368, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9758, kappa: 0.9731, kb_relative_information_score: 1254.9659, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 3.3198, recall: 0.9758, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8454, kappa: 0.8285, kb_relative_information_score: 16814.5915, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8474, predictive_accuracy: 0.8457, prior_entropy: 3.3198, recall: 0.8457, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9614, kappa: 0.9571, kb_relative_information_score: 63215.8574, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 3.3198, recall: 0.9614, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9628, kappa: 0.9586, kb_relative_information_score: 62942.4694, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 3.3198, recall: 0.9628, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 64733.6256, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3198, recall: 0.9658, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9234, kappa: 0.9151, kb_relative_information_score: 63622.3851, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9234, predictive_accuracy: 0.9236, prior_entropy: 3.3198, recall: 0.9236, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9802, kappa: 0.9779, kb_relative_information_score: 68098.8402, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 3.3198, recall: 0.9802, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9381, kappa: 0.9308, kb_relative_information_score: 48149.0916, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9393, predictive_accuracy: 0.9377, prior_entropy: 3.3198, recall: 0.9377, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9299, kappa: 0.9217, kb_relative_information_score: 61436.2296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.3198, recall: 0.9296, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9452, kappa: 0.9391, kb_relative_information_score: 63229.3395, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9453, predictive_accuracy: 0.9452, prior_entropy: 3.3198, recall: 0.9452, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8061, kappa: 0.783, kb_relative_information_score: 6478.6419, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8133, predictive_accuracy: 0.8048, prior_entropy: 3.3198, recall: 0.8048, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.955, kappa: 0.95, kb_relative_information_score: 61713.7665, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 3.3198, recall: 0.955, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9345, kappa: 0.9267, kb_relative_information_score: 36761.298, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9361, predictive_accuracy: 0.934, prior_entropy: 3.3198, recall: 0.934, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9406, kappa: 0.934, kb_relative_information_score: 63877.9952, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9407, predictive_accuracy: 0.9406, prior_entropy: 3.3198, recall: 0.9406, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3252,

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