OpenML
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: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1340.9749, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1340.9749, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1340.9749, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1324.7884, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
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: 1325.8468, usercpu_time_millis: 910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9637, kappa: 0.9262, kb_relative_information_score: 18893.0016, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.308, scimark_benchmark: 1350.2591, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1324.6442, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9799, kappa: 0.9591, kb_relative_information_score: 19476.6575, mean_absolute_error: 0.0295, 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: 0.0601, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2539, scimark_benchmark: 1343.7262, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9691, kappa: 0.9369, kb_relative_information_score: 18865.2303, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9866, recall: 0.9691, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3021, scimark_benchmark: 1350.2591, usercpu_time_millis: 3500920, usercpu_time_millis_testing: 54800, usercpu_time_millis_training: 3446120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9637, kappa: 0.9262, kb_relative_information_score: 18893.0016, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.308, scimark_benchmark: 1321.8321, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1329.8008, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1337.9552, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1354.5533, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9799, kappa: 0.9591, kb_relative_information_score: 19476.6575, mean_absolute_error: 0.0295, 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: 0.0601, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2539, scimark_benchmark: 1335.2357, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9637, kappa: 0.9262, kb_relative_information_score: 18893.0016, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.308, scimark_benchmark: 1325.8468, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1332.9478, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1337.1928, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1350.7721, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1317.5348, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
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: 1358.6198, usercpu_time_millis: 3950, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3850,
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: 1367.3264, usercpu_time_millis: 6100, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 5690,
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: 1337.4384, usercpu_time_millis: 4170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4160,
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: 1320.1171, usercpu_time_millis: 852490, usercpu_time_millis_testing: 170900, usercpu_time_millis_training: 681590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9815, kappa: 0.9623, kb_relative_information_score: 19659.529, mean_absolute_error: 0.0244, 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: 0.0497, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2402, scimark_benchmark: 1330.3848, usercpu_time_millis: 9540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9637, kappa: 0.9262, kb_relative_information_score: 18893.0016, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.308, scimark_benchmark: 1343.7262, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1396.1629, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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: 1303.9481, usercpu_time_millis: 6530, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 6110,
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: 1337.797, usercpu_time_millis: 788640, usercpu_time_millis_testing: 175670, usercpu_time_millis_training: 612970,
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: 1329.8008, usercpu_time_millis: 799030, usercpu_time_millis_testing: 163760, usercpu_time_millis_training: 635270,
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: 1323.4116, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
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: 1327.6367, usercpu_time_millis: 4190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1260.1387, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9736, kappa: 0.9463, kb_relative_information_score: 19170.0146, mean_absolute_error: 0.0365, 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: 0.0744, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2747, scimark_benchmark: 1347.993, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9705, kappa: 0.9399, kb_relative_information_score: 19390.7395, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9866, recall: 0.9705, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3465, scimark_benchmark: 1296.8947, usercpu_time_millis: 102760, usercpu_time_millis_testing: 102760,
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: 1316.8289, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9764, kappa: 0.9519, kb_relative_information_score: 19639.3479, mean_absolute_error: 0.0236, 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: 0.0481, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3101, scimark_benchmark: 1313.6093, usercpu_time_millis: 15430, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 15310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9691, kappa: 0.9369, kb_relative_information_score: 18865.2303, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9866, recall: 0.9691, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3021, scimark_benchmark: 1298.4923, usercpu_time_millis: 2889160, usercpu_time_millis_testing: 52880, usercpu_time_millis_training: 2836280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.981, kappa: 0.9612, kb_relative_information_score: 19490.5449, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 0.9866, recall: 0.981, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.242, scimark_benchmark: 1335.5424, usercpu_time_millis: 3440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3430,
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: 1313.5052, usercpu_time_millis: 749270, usercpu_time_millis_testing: 168910, usercpu_time_millis_training: 580360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9672, kappa: 0.9331, kb_relative_information_score: 18883.2488, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9866, recall: 0.9672, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.341, scimark_benchmark: 1355.8341, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9799, kappa: 0.9591, kb_relative_information_score: 19476.6575, mean_absolute_error: 0.0295, 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: 0.0601, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2539, scimark_benchmark: 1334.8495, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9088, kb_relative_information_score: 18641.2218, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405, scimark_benchmark: 922.1419, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9087, kb_relative_information_score: 18641.0769, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405, scimark_benchmark: 986.8456, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.962, kappa: 0.9224, kb_relative_information_score: 17622.6605, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.9866, recall: 0.962, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3501, scimark_benchmark: 1313.9606, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 18673.6485, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9866, recall: 0.9632, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.328, scimark_benchmark: 943.1756, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9476, kappa: 0.8942, kb_relative_information_score: 12217.8391, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9529, predictive_accuracy: 0.9473, prior_entropy: 0.9866, recall: 0.9473, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.581, scimark_benchmark: 1342.5243, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9784, kappa: 0.9561, kb_relative_information_score: 19357.9812, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9866, recall: 0.9784, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2485, scimark_benchmark: 1329.4984, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
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: 915.6729, usercpu_time_millis: 1480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9784, kappa: 0.9561, kb_relative_information_score: 19542.8081, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9866, recall: 0.9784, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2785, scimark_benchmark: 1321.1875, usercpu_time_millis: 1830, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.969, kappa: 0.937, kb_relative_information_score: 18890.0849, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 0.9866, recall: 0.969, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3176, scimark_benchmark: 1334.3805, usercpu_time_millis: 350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9805, kappa: 0.9602, kb_relative_information_score: 19663.7265, mean_absolute_error: 0.0242, 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: 0.0493, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2531, scimark_benchmark: 1325.5087, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
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: 1342.2905, usercpu_time_millis: 2700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9776, kappa: 0.9543, kb_relative_information_score: 11208.4062, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9776, predictive_accuracy: 0.9776, prior_entropy: 0.9866, recall: 0.9776, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5617, scimark_benchmark: 938.343, usercpu_time_millis: 24760, usercpu_time_millis_testing: 2630, usercpu_time_millis_training: 22130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9778, kappa: 0.9547, kb_relative_information_score: 11243.9699, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9866, recall: 0.9778, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5604, scimark_benchmark: 1321.8733, usercpu_time_millis: 4460, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.976, kappa: 0.9511, kb_relative_information_score: 11390.8747, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.9866, recall: 0.976, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5558, scimark_benchmark: 1321.8733, usercpu_time_millis: 2400, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9798, kappa: 0.9589, kb_relative_information_score: 19410.4834, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 0.9866, recall: 0.9798, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.251, scimark_benchmark: 1373.2982, usercpu_time_millis: 1510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1500,
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: 1339.4189, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9833, kappa: 0.966, kb_relative_information_score: 19634.0886, mean_absolute_error: 0.0255, 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: 0.052, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2209, scimark_benchmark: 1342.5243, usercpu_time_millis: 12290, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 11950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9832, kappa: 0.9658, kb_relative_information_score: 19634.7348, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9866, recall: 0.9832, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2222, scimark_benchmark: 1312.5307, usercpu_time_millis: 2810, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9637, kappa: 0.9262, kb_relative_information_score: 18893.0016, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9866, recall: 0.9637, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.308, scimark_benchmark: 918.0213, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9472, kappa: 0.8934, kb_relative_information_score: 652.4035, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9526, predictive_accuracy: 0.9469, prior_entropy: 0.9866, recall: 0.9469, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.48, root_relative_squared_error: 0.969, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9658, kappa: 0.9301, kb_relative_information_score: 18227.1774, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.9866, recall: 0.9659, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3644, scimark_benchmark: 918.0213, usercpu_time_millis: 2080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9799, kappa: 0.9591, kb_relative_information_score: 19447.7248, mean_absolute_error: 0.0312, 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: 0.0635, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2725, scimark_benchmark: 1339.4189, usercpu_time_millis: 2600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2590,

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