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: 0.9808, f_measure: 0.9813, kappa: 0.962, kb_relative_information_score: 19848.9186, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.9866, recall: 0.9813, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2757, usercpu_time_millis: 2973.483, usercpu_time_millis_testing: 1456.755, usercpu_time_millis_training: 1516.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9636, kappa: 0.9258, kb_relative_information_score: 19098.9842, mean_absolute_error: 0.0363, 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: 0.074, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3848, usercpu_time_millis: 48.102, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 48.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 19080.4927, mean_absolute_error: 0.0368, 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: 0.0749, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3871, usercpu_time_millis: 4.295, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 4.255,
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, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8163, kappa: 0.624, kb_relative_information_score: 13002.9417, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.8258, predictive_accuracy: 0.8199, prior_entropy: 0.9866, recall: 0.8199, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8567, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9636, kappa: 0.9257, kb_relative_information_score: 19096.9296, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.9866, recall: 0.9636, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3851, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9693, kappa: 0.9374, kb_relative_information_score: 19339.3741, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9866, recall: 0.9693, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3535, usercpu_time_millis: 29.144, usercpu_time_millis_testing: 2.965, usercpu_time_millis_training: 26.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9698, kappa: 0.9384, kb_relative_information_score: 19359.9203, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 0.9866, recall: 0.9698, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3507, usercpu_time_millis: 6.9, usercpu_time_millis_testing: 6.855, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9803, kappa: 0.9598, kb_relative_information_score: 19803.7171, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9866, recall: 0.9803, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2835, usercpu_time_millis: 14.041, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 13.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9805, kappa: 0.9603, kb_relative_information_score: 19813.9902, mean_absolute_error: 0.0195, 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: 0.0397, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2817, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.106,
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, usercpu_time_millis: 190.775, usercpu_time_millis_testing: 20.998, usercpu_time_millis_training: 169.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9636, kappa: 0.9257, kb_relative_information_score: 19096.9296, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.9866, recall: 0.9636, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3851, usercpu_time_millis: 147.434, usercpu_time_millis_testing: 30.314, usercpu_time_millis_training: 117.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9615, kappa: 0.9215, kb_relative_information_score: 19008.5811, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.9866, recall: 0.9615, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.396, usercpu_time_millis: 7.608, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 7.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9611, kappa: 0.9207, kb_relative_information_score: 18992.1442, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9866, recall: 0.9611, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.398, usercpu_time_millis: 12.742, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 12.699,
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, usercpu_time_millis: 8.961, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 8.903,
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, usercpu_time_millis: 4.609, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 4.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9768, kappa: 0.9527, kb_relative_information_score: 19655.7848, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9866, recall: 0.9768, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3075, usercpu_time_millis: 2.618, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9829, kappa: 0.9653, kb_relative_information_score: 19916.7209, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9866, recall: 0.9829, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2636, usercpu_time_millis: 555.339, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 549.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9824, kappa: 0.964, kb_relative_information_score: 19892.0656, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 0.9866, recall: 0.9824, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2681, usercpu_time_millis: 69.291, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 68.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.5235, kappa: 0.0272, kb_relative_information_score: 1055.3559, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5235, predictive_accuracy: 0.5382, prior_entropy: 0.9866, recall: 0.5382, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6796, root_relative_squared_error: 1.3719, usercpu_time_millis: 45.765, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 44.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 19080.4927, mean_absolute_error: 0.0368, 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: 0.0749, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3871, usercpu_time_millis: 4.347, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9824, kappa: 0.9641, kb_relative_information_score: 19892.0656, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 0.9866, recall: 0.9824, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2681, usercpu_time_millis: 161.159, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 159.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4116, kappa: -0.0001, kb_relative_information_score: 2323.0533, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3227, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3268, usercpu_time_millis: 7.939, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 7.506,
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: 906.0979,
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: 972.587, usercpu_time_millis: 2100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2080,
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: 851.2074, usercpu_time_millis: 8120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8100,
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: 934.695,
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: 941.6675, usercpu_time_millis: 1040, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1010,
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: 905.2959,
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: 947.1781, usercpu_time_millis: 148430, usercpu_time_millis_testing: 30330, usercpu_time_millis_training: 118100,
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: 941.3847, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
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: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
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: 974.2014, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
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: 974.2014, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
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: 939.8002,
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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: 819.5729, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
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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: 945.0194, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, 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: 922.5036, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
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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: 922.5036, usercpu_time_millis: 1000, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 970,
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: 949.7766, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
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: 952.4682, usercpu_time_millis: 4170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4110,
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: 949.7766, usercpu_time_millis: 6570, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 6100,
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: 936.4883, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
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: 1346.6261, usercpu_time_millis: 832420, usercpu_time_millis_testing: 169000, usercpu_time_millis_training: 663420,
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: 1346.2927, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
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: 1295.609, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
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: 1322.5413, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
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: 926.6704, usercpu_time_millis: 250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 190,
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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: 1324.9519, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
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: 1313.8988, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
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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: 1313.8988, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
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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: 1362.9924, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, 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: 1316.5396, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
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: 1340.5125, usercpu_time_millis: 871600, usercpu_time_millis_testing: 170120, usercpu_time_millis_training: 701480,
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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: 1349.1517, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, 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: 1331.2559, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
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: 1332.9478, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
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: 1375.1578, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs