Task
Supervised Classification on houses

Supervised Classification on houses

Task 3688 Supervised Classification houses 383 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9735, kappa: 0.9461, kb_relative_information_score: 18660.264, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9866, recall: 0.9735, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2851, scimark_benchmark: 938.343, usercpu_time_millis: 1150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9659, kappa: 0.9302, kb_relative_information_score: 18245.0855, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9668, predictive_accuracy: 0.966, prior_entropy: 0.9866, recall: 0.966, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3642, scimark_benchmark: 825.5282, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9764, kappa: 0.9519, kb_relative_information_score: 19246.5001, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 0.9866, recall: 0.9764, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.261, scimark_benchmark: 860.584, usercpu_time_millis: 3800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9779, kappa: 0.9549, kb_relative_information_score: 11254.5589, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9866, recall: 0.9779, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5599, scimark_benchmark: 934.1747, usercpu_time_millis: 13730, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 12570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9546, kappa: 0.9073, kb_relative_information_score: 9873.162, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.9866, recall: 0.9547, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6299, scimark_benchmark: 1320.2556, usercpu_time_millis: 1810, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1700,
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: 1336.2976, usercpu_time_millis: 5470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5460,
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: 895.5332, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9833, kappa: 0.9659, kb_relative_information_score: 19632.6847, mean_absolute_error: 0.0256, 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: 0.0521, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.11, root_relative_squared_error: 0.222, scimark_benchmark: 1307.4861, usercpu_time_millis: 6220, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9828, kappa: 0.965, kb_relative_information_score: 19636.0545, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.9866, recall: 0.9828, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2227, scimark_benchmark: 1331.6907, usercpu_time_millis: 2070, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9827, kappa: 0.9648, kb_relative_information_score: 19635.0623, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9827, predictive_accuracy: 0.9827, prior_entropy: 0.9866, recall: 0.9827, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.2248, scimark_benchmark: 1331.6907, usercpu_time_millis: 1020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9712, kappa: 0.9412, kb_relative_information_score: 18995.1593, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9866, recall: 0.9712, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2954, scimark_benchmark: 869.6028, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9804, kappa: 0.96, kb_relative_information_score: 19499.468, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 0.9866, recall: 0.9804, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2486, scimark_benchmark: 1280.6952, usercpu_time_millis: 9120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 9010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9789, kappa: 0.957, kb_relative_information_score: 19421.9832, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9866, recall: 0.9789, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.258, scimark_benchmark: 1280.6952, usercpu_time_millis: 4100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9765, kappa: 0.9521, kb_relative_information_score: 19349.7133, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 0.9866, recall: 0.9765, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2675, scimark_benchmark: 938.343, usercpu_time_millis: 2230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9753, kappa: 0.9496, kb_relative_information_score: 19262.8534, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.9866, recall: 0.9753, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.2787, scimark_benchmark: 937.1527, usercpu_time_millis: 1100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.968, kappa: 0.9348, kb_relative_information_score: 19147.6786, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9685, predictive_accuracy: 0.9681, prior_entropy: 0.9866, recall: 0.9681, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2963, scimark_benchmark: 1318.1432, usercpu_time_millis: 870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9732, kappa: 0.9453, kb_relative_information_score: 19229.6766, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9866, recall: 0.9732, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2894, scimark_benchmark: 916.6405, usercpu_time_millis: 41770, usercpu_time_millis_testing: 41760, usercpu_time_millis_training: 10,
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,
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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,
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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