OpenML
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 932.438, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9451, kappa: 0.8395, kb_relative_information_score: 898.7121, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9449, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5261, scimark_benchmark: 931.771, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9355, kappa: 0.8117, kb_relative_information_score: 810.0585, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9353, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5437, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 851.2074, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9534, kappa: 0.8649, kb_relative_information_score: 975.5152, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 0.7637, recall: 0.9533, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5205, usercpu_time_millis: 9.563, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 9.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.9511, kappa: 0.8571, kb_relative_information_score: 968.8794, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5301, usercpu_time_millis: 24.299, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 21.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, usercpu_time_millis: 1.707, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6816, kb_relative_information_score: 305.2982, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, usercpu_time_millis: 0.688, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9303, kappa: 0.7965, kb_relative_information_score: 889.2496, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.93, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.6336, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9521, kappa: 0.8603, kb_relative_information_score: 972.1973, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.952, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5253, usercpu_time_millis: 17.199, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 16.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.9128, kappa: 0.7354, kb_relative_information_score: 839.481, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9191, predictive_accuracy: 0.9178, prior_entropy: 0.7637, recall: 0.9178, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6904, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 915.7929, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.601, usercpu_time_millis: 3.385, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 2.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 905.8392, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6134, usercpu_time_millis: 4.096, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9318, kappa: 0.7962, kb_relative_information_score: 902.5213, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.934, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.6175, usercpu_time_millis: 2.73, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9351, kappa: 0.8074, kb_relative_information_score: 912.475, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.936, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.6052, usercpu_time_millis: 1.37, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9305, kappa: 0.8004, kb_relative_information_score: 885.9317, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9315, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6375, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 2.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9434, kappa: 0.8349, kb_relative_information_score: 939.0182, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9432, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5711, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.9268, kappa: 0.7799, kb_relative_information_score: 885.9317, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9302, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6375, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9058, kappa: 0.7149, kb_relative_information_score: 812.9378, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9105, predictive_accuracy: 0.9109, prior_entropy: 0.7637, recall: 0.9109, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7189, usercpu_time_millis: 8.056, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 7.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9218, kappa: 0.7657, kb_relative_information_score: 866.0243, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9239, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6607, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 952.2898, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5532, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9388, kappa: 0.8231, kb_relative_information_score: 919.1108, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9391, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5969, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9149, kappa: 0.75, kb_relative_information_score: 832.8452, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9144, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6976, usercpu_time_millis: 2.614, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9256, kappa: 0.7868, kb_relative_information_score: 866.0243, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.927, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6607, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 2.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.945, kappa: 0.839, kb_relative_information_score: 945.654, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5622, usercpu_time_millis: 186.118, usercpu_time_millis_testing: 10.229, usercpu_time_millis_training: 175.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8922, kappa: 0.7003, kb_relative_information_score: 726.6723, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.901, predictive_accuracy: 0.8884, prior_entropy: 0.7637, recall: 0.8884, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8045, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9503, kappa: 0.8548, kb_relative_information_score: 965.5615, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9502, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.5348, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9525, kappa: 0.8622, kb_relative_information_score: 972.1973, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5253, usercpu_time_millis: 6.247, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 6.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9477, kappa: 0.8473, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9476, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, usercpu_time_millis: 3.317, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 952.2898, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5532, usercpu_time_millis: 190.508, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 190.382,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1070.5969, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1574.7611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8664, kappa: 0.6091, kb_relative_information_score: 647.0425, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8654, predictive_accuracy: 0.8676, prior_entropy: 0.7637, recall: 0.8676, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8762, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9234, kappa: 0.7722, kb_relative_information_score: 781.108, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9242, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5693, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9267, kappa: 0.7836, kb_relative_information_score: 724.8308, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9267, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5979, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9239, kappa: 0.7792, kb_relative_information_score: 757.261, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6225, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9275, kappa: 0.7879, kb_relative_information_score: 802.0406, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9272, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5775, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.925, kappa: 0.7806, kb_relative_information_score: 804.1323, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9246, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.6209, scimark_benchmark: 1834.908, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9312, kappa: 0.8042, kb_relative_information_score: 808.2173, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9337, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.577, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 797.4943, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6287, scimark_benchmark: 1925.3565, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1925.3565,

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