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OpenML
OpenML
Supervised Classification on houses

Supervised Classification on houses

Task 3688 Supervised Classification houses 383 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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383 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9736, kappa: 0.9462, kb_relative_information_score: 19287.5205, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.9866, recall: 0.9736, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.2943, scimark_benchmark: 1363.454, usercpu_time_millis: 64840, usercpu_time_millis_testing: 64840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9617, kappa: 0.9218, kb_relative_information_score: 19014.745, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.9866, recall: 0.9617, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.3952, scimark_benchmark: 1318.1432, usercpu_time_millis: 950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9609, kappa: 0.9204, kb_relative_information_score: 18983.9258, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9866, recall: 0.961, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3989, scimark_benchmark: 937.5996, usercpu_time_millis: 313980, usercpu_time_millis_testing: 12000, usercpu_time_millis_training: 301980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 19018.8542, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 0.9866, recall: 0.9618, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3947, scimark_benchmark: 1386.5717, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9637, kappa: 0.9259, kb_relative_information_score: 18643.6665, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3272, scimark_benchmark: 887.6719, usercpu_time_millis: 3780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5159, kappa: 0.0097, kb_relative_information_score: 241.7284, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5141, predictive_accuracy: 0.519, prior_entropy: 0.9866, recall: 0.519, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6935, root_relative_squared_error: 1.4002, scimark_benchmark: 940.3347, usercpu_time_millis: 3740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.979, kappa: 0.9572, kb_relative_information_score: 19478.428, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9866, recall: 0.979, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2585, scimark_benchmark: 1250.8301, usercpu_time_millis: 4680, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9835, kappa: 0.9664, kb_relative_information_score: 19644.2412, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9866, recall: 0.9835, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.109, root_relative_squared_error: 0.22, scimark_benchmark: 1280.6952, usercpu_time_millis: 5950, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9766, kappa: 0.9522, kb_relative_information_score: 19645.5118, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.9866, recall: 0.9766, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3091, scimark_benchmark: 1361.1055, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9793, kappa: 0.9578, kb_relative_information_score: 19534.4932, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9866, recall: 0.9793, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.2573, scimark_benchmark: 1320.2556, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9793, kappa: 0.9577, kb_relative_information_score: 19556.3347, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9866, recall: 0.9793, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2635, scimark_benchmark: 1310.8451, usercpu_time_millis: 1420, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9764, kappa: 0.952, kb_relative_information_score: 19637.2933, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9768, predictive_accuracy: 0.9764, prior_entropy: 0.9866, recall: 0.9764, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3104, scimark_benchmark: 1291.6995, usercpu_time_millis: 5670, usercpu_time_millis_testing: 3440, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3728, f_measure: 0.3794, kappa: -0.2505, kb_relative_information_score: -5796.7849, mean_absolute_error: 0.6234, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3847, predictive_accuracy: 0.3766, prior_entropy: 0.9866, recall: 0.3766, relative_absolute_error: 1.2704, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.7896, root_relative_squared_error: 1.594, scimark_benchmark: 1280.6952, usercpu_time_millis: 6320, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9788, kappa: 0.9568, kb_relative_information_score: 19555.3711, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9788, predictive_accuracy: 0.9788, prior_entropy: 0.9866, recall: 0.9788, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2475, scimark_benchmark: 1465.2979, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9722, kappa: 0.9434, kb_relative_information_score: 19460.5964, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9866, recall: 0.9722, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3367, scimark_benchmark: 1351.788, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9791, kappa: 0.9575, kb_relative_information_score: 19754.4064, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.9866, recall: 0.9791, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.2917, scimark_benchmark: 1353.5686, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4117, kb_relative_information_score: -0.0386, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.4953, root_relative_squared_error: 1, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9805, kappa: 0.9603, kb_relative_information_score: 19668.5128, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 0.9866, recall: 0.9805, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2511, scimark_benchmark: 1465.2979, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9554, kappa: 0.9092, kb_relative_information_score: 18750.8041, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9866, recall: 0.9554, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4255, scimark_benchmark: 931.2336, usercpu_time_millis: 2070, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9555, kappa: 0.9093, kb_relative_information_score: 18754.7713, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.9866, recall: 0.9555, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4244, scimark_benchmark: 945.6434, usercpu_time_millis: 4370, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9556, kappa: 0.9096, kb_relative_information_score: 18702.1112, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9866, recall: 0.9556, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4179, scimark_benchmark: 941.7954, usercpu_time_millis: 8600, usercpu_time_millis_testing: 2230, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9551, kappa: 0.9085, kb_relative_information_score: 18276.5006, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9866, recall: 0.9551, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.3943, scimark_benchmark: 923.7642, usercpu_time_millis: 4800, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9551, kappa: 0.9085, kb_relative_information_score: 18276.5006, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9866, recall: 0.9551, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.3943, scimark_benchmark: 894.7455, usercpu_time_millis: 4900, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 3690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9754, kappa: 0.9499, kb_relative_information_score: 19569.3585, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 0.9866, recall: 0.9755, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.303, scimark_benchmark: 936.7115, usercpu_time_millis: 12010, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 11870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9763, kappa: 0.9516, kb_relative_information_score: 19578.1016, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 0.9866, recall: 0.9763, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2967, scimark_benchmark: 936.7115, usercpu_time_millis: 5680, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 5610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9662, kappa: 0.9309, kb_relative_information_score: 19244.1834, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9671, predictive_accuracy: 0.9663, prior_entropy: 0.9866, recall: 0.9663, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3532, scimark_benchmark: 938.2848, usercpu_time_millis: 2420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9662, kappa: 0.9308, kb_relative_information_score: 19264.4906, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.967, predictive_accuracy: 0.9663, prior_entropy: 0.9866, recall: 0.9663, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3425, scimark_benchmark: 922.9039, usercpu_time_millis: 1150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9658, kappa: 0.9301, kb_relative_information_score: 19196.3391, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9667, predictive_accuracy: 0.9659, prior_entropy: 0.9866, recall: 0.9659, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3716, scimark_benchmark: 938.4278, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9815, kappa: 0.9623, kb_relative_information_score: 19556.182, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 0.9866, recall: 0.9815, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2377, scimark_benchmark: 938.4285, usercpu_time_millis: 7950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9783, kappa: 0.9558, kb_relative_information_score: 19317.1696, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 0.9866, recall: 0.9783, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2624, scimark_benchmark: 947.9494, usercpu_time_millis: 1050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9739, kappa: 0.9468, kb_relative_information_score: 19117.1801, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.974, predictive_accuracy: 0.9739, prior_entropy: 0.9866, recall: 0.9739, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2759, scimark_benchmark: 931.2336, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4117, kb_relative_information_score: -0.0386, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.4953, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9649, kappa: 0.9283, kb_relative_information_score: 18577.3417, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 0.9866, recall: 0.9649, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3333, scimark_benchmark: 934.5243, usercpu_time_millis: 840, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9657, kappa: 0.9298, kb_relative_information_score: 19055.2215, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9666, predictive_accuracy: 0.9658, prior_entropy: 0.9866, recall: 0.9658, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3377, scimark_benchmark: 933.8635, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9822, kappa: 0.9638, kb_relative_information_score: 19682.9463, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9866, recall: 0.9822, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2299, scimark_benchmark: 902.4773, usercpu_time_millis: 1030, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9738, kappa: 0.9466, kb_relative_information_score: 19122.7228, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9866, recall: 0.9738, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2819, scimark_benchmark: 932.3943, usercpu_time_millis: 390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9739, kappa: 0.9468, kb_relative_information_score: 19117.1801, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.974, predictive_accuracy: 0.9739, prior_entropy: 0.9866, recall: 0.9739, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2759, scimark_benchmark: 911.0478, usercpu_time_millis: 900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, scimark_benchmark: 929.0255, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9805, kappa: 0.9603, kb_relative_information_score: 19668.5128, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 0.9866, recall: 0.9805, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2511, scimark_benchmark: 929.0255, usercpu_time_millis: 560, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9766, kappa: 0.9523, kb_relative_information_score: 17963.9748, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.9866, recall: 0.9766, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3041, scimark_benchmark: 943.2817, usercpu_time_millis: 145740, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 145680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9657, kappa: 0.9299, kb_relative_information_score: 18227.7419, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9665, predictive_accuracy: 0.9658, prior_entropy: 0.9866, recall: 0.9658, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3469, scimark_benchmark: 901.0726, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9746, kappa: 0.9483, kb_relative_information_score: 19563.3272, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9746, predictive_accuracy: 0.9746, prior_entropy: 0.9866, recall: 0.9746, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3217, scimark_benchmark: 891.2195, usercpu_time_millis: 712480, usercpu_time_millis_testing: 19730, usercpu_time_millis_training: 692750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9609, kappa: 0.9204, kb_relative_information_score: 18983.9258, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9866, recall: 0.961, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3989, scimark_benchmark: 942.1229, usercpu_time_millis: 318480, usercpu_time_millis_testing: 13560, usercpu_time_millis_training: 304920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9853, kappa: 0.97, kb_relative_information_score: 20012.4855, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.9866, recall: 0.9853, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2445, scimark_benchmark: 889.9795, usercpu_time_millis: 58530, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 57450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 19875.9854, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9866, recall: 0.9818, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2626, scimark_benchmark: 911.3823, usercpu_time_millis: 44040, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 43980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2605, kb_relative_information_score: -3452.4693, mean_absolute_error: 0.5681, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.1865, predictive_accuracy: 0.4319, prior_entropy: 0.9866, recall: 0.4319, relative_absolute_error: 1.1577, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5217, scimark_benchmark: 930.32, usercpu_time_millis: 1570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9772, kappa: 0.9536, kb_relative_information_score: 19523.4662, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9866, recall: 0.9772, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2601, scimark_benchmark: 902.4773, usercpu_time_millis: 11920, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 11770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9609, kappa: 0.9204, kb_relative_information_score: 18983.9258, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9866, recall: 0.961, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3989, scimark_benchmark: 923.9763, usercpu_time_millis: 289080, usercpu_time_millis_testing: 13530, usercpu_time_millis_training: 275550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9624, kappa: 0.9233, kb_relative_information_score: 19045.5642, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9866, recall: 0.9624, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3914, scimark_benchmark: 799.2185, usercpu_time_millis: 1540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 362.8696, build_memory: 1043949226.4, f_measure: 0.9844, kappa: 0.9683, kb_relative_information_score: 19742.3448, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9866, recall: 0.9844, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2135, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 773.0091, build_memory: 275719338.4, f_measure: 0.9843, kappa: 0.9681, kb_relative_information_score: 19742.1261, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.9866, recall: 0.9844, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2128, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 1463.5996, build_memory: 1935129904, f_measure: 0.9848, kappa: 0.9691, kb_relative_information_score: 19744.0554, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9866, recall: 0.9848, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2121, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 183.1232, build_memory: 184727535.2, f_measure: 0.9812, kappa: 0.9616, kb_relative_information_score: 19840.8496, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9866, recall: 0.9812, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2645, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 78.0063, build_memory: 820410047.2, f_measure: 0.9815, kappa: 0.9623, kb_relative_information_score: 19841.0024, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 0.9866, recall: 0.9815, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2601, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 39.86, build_memory: 771263946.4, f_measure: 0.9793, kappa: 0.9578, kb_relative_information_score: 19759.2788, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9866, recall: 0.9793, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2772, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 18.4116, build_memory: 121011469.6, f_measure: 0.9799, kappa: 0.959, kb_relative_information_score: 19768.4974, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9866, recall: 0.9799, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2686, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 9.6772, build_memory: 717263561.6, f_measure: 0.9754, kappa: 0.9499, kb_relative_information_score: 19600.9621, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.9866, recall: 0.9754, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3024, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 360.3469, build_memory: 1366651123.2, f_measure: 0.984, kappa: 0.9674, kb_relative_information_score: 19639.1308, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9866, recall: 0.984, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2192, scimark_benchmark: 942.3516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 636.1251, build_memory: 1374184232, f_measure: 0.9843, kappa: 0.968, kb_relative_information_score: 19637.5765, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 0.9866, recall: 0.9843, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2184, scimark_benchmark: 947.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 31.1282, build_memory: 123665763.2, f_measure: 0.9836, kappa: 0.9665, kb_relative_information_score: 19698.7533, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 0.9866, recall: 0.9836, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2179, scimark_benchmark: 945.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 30.5836, build_memory: 1352445421.6, f_measure: 0.9836, kappa: 0.9665, kb_relative_information_score: 19698.7533, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 0.9866, recall: 0.9836, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2179, scimark_benchmark: 943.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 30.062, build_memory: 2560024559.2, f_measure: 0.9836, kappa: 0.9665, kb_relative_information_score: 19698.7533, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 0.9866, recall: 0.9836, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2179, scimark_benchmark: 944.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 29.8942, build_memory: 142199343.2, f_measure: 0.9836, kappa: 0.9665, kb_relative_information_score: 19698.7533, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 0.9866, recall: 0.9836, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2179, scimark_benchmark: 939.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 23.6521, build_memory: 1028781836, f_measure: 0.9837, kappa: 0.9667, kb_relative_information_score: 19698.3373, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.9866, recall: 0.9837, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2187, scimark_benchmark: 934.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 8.9512, build_memory: 1782154130.4, f_measure: 0.984, kappa: 0.9673, kb_relative_information_score: 19700.1938, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9866, recall: 0.984, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2192, scimark_benchmark: 946.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 4.0167, build_memory: 1649772192.8, f_measure: 0.9833, kappa: 0.966, kb_relative_information_score: 19693.914, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9866, recall: 0.9833, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2217, scimark_benchmark: 900.5395,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs