OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8197, kappa: 0.6293, kb_relative_information_score: 20224.3098, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8215, predictive_accuracy: 0.8213, prior_entropy: 0.9835, recall: 0.8213, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7265, scimark_benchmark: 1247.5884, usercpu_time_millis: 269.569, usercpu_time_millis_testing: 15.487, usercpu_time_millis_training: 254.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8927, kappa: 0.7801, kb_relative_information_score: 28718.7379, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8926, predictive_accuracy: 0.8928, prior_entropy: 0.9835, recall: 0.8928, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5764, scimark_benchmark: 1262.4695, usercpu_time_millis: 627.507, usercpu_time_millis_testing: 25.668, usercpu_time_millis_training: 601.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8344, kappa: 0.6597, kb_relative_information_score: 20058.1564, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.8357, prior_entropy: 0.9835, recall: 0.8357, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7119, scimark_benchmark: 1264.6667, usercpu_time_millis: 105.059, usercpu_time_millis_testing: 6.189, usercpu_time_millis_training: 98.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8244, kappa: 0.6389, kb_relative_information_score: 19049.186, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8266, predictive_accuracy: 0.8261, prior_entropy: 0.9835, recall: 0.8261, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, scimark_benchmark: 1251.3531, usercpu_time_millis: 964.249, usercpu_time_millis_testing: 64.974, usercpu_time_millis_training: 899.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8285, kappa: 0.6472, kb_relative_information_score: 19477.4338, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8306, predictive_accuracy: 0.8301, prior_entropy: 0.9835, recall: 0.8301, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7231, scimark_benchmark: 1272.9635, usercpu_time_millis: 486.411, usercpu_time_millis_testing: 48.515, usercpu_time_millis_training: 437.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8811, kappa: 0.7563, kb_relative_information_score: 27422.6147, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8811, predictive_accuracy: 0.8813, prior_entropy: 0.9835, recall: 0.8813, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6034, scimark_benchmark: 1261.8942, usercpu_time_millis: 1786.517, usercpu_time_millis_testing: 61.992, usercpu_time_millis_training: 1724.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8258, kappa: 0.6417, kb_relative_information_score: 19272.4394, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8279, predictive_accuracy: 0.8275, prior_entropy: 0.9835, recall: 0.8275, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7258, scimark_benchmark: 1278.1009, usercpu_time_millis: 1478.144, usercpu_time_millis_testing: 121.024, usercpu_time_millis_training: 1357.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8646, kappa: 0.7224, kb_relative_information_score: 26089.5755, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8646, predictive_accuracy: 0.8649, prior_entropy: 0.9835, recall: 0.8649, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6312, scimark_benchmark: 1264.7368, usercpu_time_millis: 1026.473, usercpu_time_millis_testing: 52.689, usercpu_time_millis_training: 973.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8331, kappa: 0.657, kb_relative_information_score: 21876.3296, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.834, predictive_accuracy: 0.8342, prior_entropy: 0.9835, recall: 0.8342, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.699, scimark_benchmark: 1282.9627, usercpu_time_millis: 996.435, usercpu_time_millis_testing: 87.897, usercpu_time_millis_training: 908.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7651, kappa: 0.5179, kb_relative_information_score: 13137.9438, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7733, prior_entropy: 0.9835, recall: 0.7733, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8182, scimark_benchmark: 1284.0373, usercpu_time_millis: 41.764, usercpu_time_millis_testing: 3.782, usercpu_time_millis_training: 37.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8435, kappa: 0.6787, kb_relative_information_score: 23637.7387, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8438, predictive_accuracy: 0.8442, prior_entropy: 0.9835, recall: 0.8442, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6728, scimark_benchmark: 1273.6189, usercpu_time_millis: 1364.964, usercpu_time_millis_testing: 76.325, usercpu_time_millis_training: 1288.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8391, kappa: 0.6696, kb_relative_information_score: 22662.1748, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8397, predictive_accuracy: 0.84, prior_entropy: 0.9835, recall: 0.84, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6842, scimark_benchmark: 1262.032, usercpu_time_millis: 1544.881, usercpu_time_millis_testing: 83.18, usercpu_time_millis_training: 1461.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8916, kappa: 0.7778, kb_relative_information_score: 28233.8626, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8917, predictive_accuracy: 0.8918, prior_entropy: 0.9835, recall: 0.8918, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 1273.1253, usercpu_time_millis: 861.188, usercpu_time_millis_testing: 35.155, usercpu_time_millis_training: 826.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.846, kappa: 0.6838, kb_relative_information_score: 23397.1373, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8464, predictive_accuracy: 0.8467, prior_entropy: 0.9835, recall: 0.8467, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6709, scimark_benchmark: 1262.6256, usercpu_time_millis: 1829.124, usercpu_time_millis_testing: 111.026, usercpu_time_millis_training: 1718.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8298, kappa: 0.6507, kb_relative_information_score: 22623.2392, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.83, predictive_accuracy: 0.8305, prior_entropy: 0.9835, recall: 0.8305, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6985, scimark_benchmark: 1274.6293, usercpu_time_millis: 1707.801, usercpu_time_millis_testing: 82.156, usercpu_time_millis_training: 1625.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8163, kappa: 0.6219, kb_relative_information_score: 18127.5198, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8197, predictive_accuracy: 0.8185, prior_entropy: 0.9835, recall: 0.8185, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7451, scimark_benchmark: 1268.7308, usercpu_time_millis: 1148.078, usercpu_time_millis_testing: 95.354, usercpu_time_millis_training: 1052.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8641, kappa: 0.7216, kb_relative_information_score: 26216.1391, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9835, recall: 0.8644, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6327, scimark_benchmark: 1278.4465, usercpu_time_millis: 3338.49, usercpu_time_millis_testing: 127.62, usercpu_time_millis_training: 3210.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8289, kappa: 0.649, kb_relative_information_score: 22693.8715, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8295, prior_entropy: 0.9835, recall: 0.8295, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7002, scimark_benchmark: 1278.8462, usercpu_time_millis: 1040.659, usercpu_time_millis_testing: 65.543, usercpu_time_millis_training: 975.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8348, kappa: 0.6611, kb_relative_information_score: 23597.35, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.688, scimark_benchmark: 1266.0881, usercpu_time_millis: 1440.452, usercpu_time_millis_testing: 44.888, usercpu_time_millis_training: 1395.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8941, kappa: 0.783, kb_relative_information_score: 29080.8525, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5717, scimark_benchmark: 1275.2496, usercpu_time_millis: 2296.046, usercpu_time_millis_testing: 59.876, usercpu_time_millis_training: 2236.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8484, kappa: 0.689, kb_relative_information_score: 24448.6847, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8486, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6607, scimark_benchmark: 1250.0838, usercpu_time_millis: 1153.99, usercpu_time_millis_testing: 54.231, usercpu_time_millis_training: 1099.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8406, kappa: 0.6731, kb_relative_information_score: 23949.5296, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8406, predictive_accuracy: 0.8411, prior_entropy: 0.9835, recall: 0.8411, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6778, scimark_benchmark: 1266.9835, usercpu_time_millis: 195.635, usercpu_time_millis_testing: 6.708, usercpu_time_millis_training: 188.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8382, kappa: 0.6676, kb_relative_information_score: 22548.2591, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8387, predictive_accuracy: 0.839, prior_entropy: 0.9835, recall: 0.839, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6868, scimark_benchmark: 1280.156, usercpu_time_millis: 980.061, usercpu_time_millis_testing: 52.059, usercpu_time_millis_training: 928.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.885, kappa: 0.7642, kb_relative_information_score: 27914.5719, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.885, predictive_accuracy: 0.8852, prior_entropy: 0.9835, recall: 0.8852, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956, scimark_benchmark: 1277.177, usercpu_time_millis: 904.357, usercpu_time_millis_testing: 23.572, usercpu_time_millis_training: 880.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.804, kappa: 0.5966, kb_relative_information_score: 17109.6789, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8097, predictive_accuracy: 0.8073, prior_entropy: 0.9835, recall: 0.8073, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7617, scimark_benchmark: 1258.8066, usercpu_time_millis: 236.351, usercpu_time_millis_testing: 18.401, usercpu_time_millis_training: 217.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8368, kappa: 0.6649, kb_relative_information_score: 22900.1215, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8372, predictive_accuracy: 0.8376, prior_entropy: 0.9835, recall: 0.8376, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6865, scimark_benchmark: 1276.0669, usercpu_time_millis: 1629.965, usercpu_time_millis_testing: 99.615, usercpu_time_millis_training: 1530.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8488, kappa: 0.6895, kb_relative_information_score: 23718.6013, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8491, predictive_accuracy: 0.8494, prior_entropy: 0.9835, recall: 0.8494, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6647, scimark_benchmark: 1281.0048, usercpu_time_millis: 1975.878, usercpu_time_millis_testing: 100.66, usercpu_time_millis_training: 1875.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8031, kappa: 0.5947, kb_relative_information_score: 18784.501, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.806, prior_entropy: 0.9835, recall: 0.806, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7497, scimark_benchmark: 1268.0711, usercpu_time_millis: 635.915, usercpu_time_millis_testing: 42.086, usercpu_time_millis_training: 593.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8302, kappa: 0.6511, kb_relative_information_score: 22005.3526, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.8311, prior_entropy: 0.9835, recall: 0.8311, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7032, scimark_benchmark: 1275.361, usercpu_time_millis: 699.371, usercpu_time_millis_testing: 50.158, usercpu_time_millis_training: 649.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9034, kappa: 0.8022, kb_relative_information_score: 30649.853, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9034, predictive_accuracy: 0.9035, prior_entropy: 0.9835, recall: 0.9035, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5445, scimark_benchmark: 1271.9503, usercpu_time_millis: 727.525, usercpu_time_millis_testing: 16.427, usercpu_time_millis_training: 711.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8711, kappa: 0.7359, kb_relative_information_score: 26841.519, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8711, predictive_accuracy: 0.8713, prior_entropy: 0.9835, recall: 0.8713, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6212, scimark_benchmark: 1263.2189, usercpu_time_millis: 5129.456, usercpu_time_millis_testing: 117.158, usercpu_time_millis_training: 5012.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8615, kappa: 0.7161, kb_relative_information_score: 26077.7905, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8618, prior_entropy: 0.9835, recall: 0.8618, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.639, scimark_benchmark: 1283.1767, usercpu_time_millis: 2035.927, usercpu_time_millis_testing: 57.633, usercpu_time_millis_training: 1978.294,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8224, kappa: 0.6354, kb_relative_information_score: 22031.3796, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8226, predictive_accuracy: 0.8231, prior_entropy: 0.9835, recall: 0.8231, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7102, scimark_benchmark: 1266.0156, usercpu_time_millis: 1728.726, usercpu_time_millis_testing: 72.511, usercpu_time_millis_training: 1656.215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8179, kappa: 0.6262, kb_relative_information_score: 21141.924, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8187, prior_entropy: 0.9835, recall: 0.8187, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7247, scimark_benchmark: 1838.1026, usercpu_time_millis: 236.749, usercpu_time_millis_testing: 14.02, usercpu_time_millis_training: 222.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8145, kappa: 0.6193, kb_relative_information_score: 20549.4751, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8146, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7355, scimark_benchmark: 1853.454, usercpu_time_millis: 275.441, usercpu_time_millis_testing: 14.983, usercpu_time_millis_training: 260.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8025, kappa: 0.5947, kb_relative_information_score: 19546.6805, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8024, predictive_accuracy: 0.8031, prior_entropy: 0.9835, recall: 0.8031, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7549, scimark_benchmark: 1851.8567, usercpu_time_millis: 333.118, usercpu_time_millis_testing: 19.147, usercpu_time_millis_training: 313.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8006, kappa: 0.5907, kb_relative_information_score: 19854.1875, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8006, predictive_accuracy: 0.8013, prior_entropy: 0.9835, recall: 0.8013, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7559, scimark_benchmark: 1846.7746, usercpu_time_millis: 455.387, usercpu_time_millis_testing: 20.944, usercpu_time_millis_training: 434.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.6145, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 5.282, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6598, kappa: 0.3272, kb_relative_information_score: 4330.1156, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7456, predictive_accuracy: 0.697, prior_entropy: 0.9835, recall: 0.697, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9356, scimark_benchmark: 1852.5406, usercpu_time_millis: 12.211, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 10.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8361, kappa: 0.6632, kb_relative_information_score: 20245.556, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 0.9835, recall: 0.8373, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.35, root_relative_squared_error: 0.708, scimark_benchmark: 1721.8007, usercpu_time_millis: 62.842, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 59.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14213.287, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8437, scimark_benchmark: 1848.321, usercpu_time_millis: 89.69, usercpu_time_millis_testing: 7.398, usercpu_time_millis_training: 82.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7949, kappa: 0.5796, kb_relative_information_score: 18900.7501, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7947, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7699, scimark_benchmark: 1842.8383, usercpu_time_millis: 302.376, usercpu_time_millis_testing: 14.02, usercpu_time_millis_training: 288.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7516, kappa: 0.4899, kb_relative_information_score: 15892.8153, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7674, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8146, scimark_benchmark: 1847.7335, usercpu_time_millis: 3.964, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 3.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7557, kappa: 0.4988, kb_relative_information_score: 13000.208, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.7646, prior_entropy: 0.9835, recall: 0.7646, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8283, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.449, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 6.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7505, kappa: 0.4874, kb_relative_information_score: 15039.2611, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8267, scimark_benchmark: 1845.7061, usercpu_time_millis: 52.125, usercpu_time_millis_testing: 3.466, usercpu_time_millis_training: 48.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7489, kappa: 0.4847, kb_relative_information_score: 13982.6508, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.84, scimark_benchmark: 1853.3841, usercpu_time_millis: 83.582, usercpu_time_millis_testing: 9.739, usercpu_time_millis_training: 73.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8734, kappa: 0.7405, kb_relative_information_score: 26012.0121, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8735, predictive_accuracy: 0.8737, prior_entropy: 0.9835, recall: 0.8737, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6182, scimark_benchmark: 785.5981, usercpu_time_millis: 127.811, usercpu_time_millis_testing: 8.471, usercpu_time_millis_training: 119.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8135, kappa: 0.6173, kb_relative_information_score: 22203.485, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8135, predictive_accuracy: 0.8142, prior_entropy: 0.9835, recall: 0.8142, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7214, scimark_benchmark: 1848.1514, usercpu_time_millis: 234.887, usercpu_time_millis_testing: 8.352, usercpu_time_millis_training: 226.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8219, kappa: 0.6344, kb_relative_information_score: 21968.394, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.822, predictive_accuracy: 0.8225, prior_entropy: 0.9835, recall: 0.8225, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7129, scimark_benchmark: 1967.041, usercpu_time_millis: 246.826, usercpu_time_millis_testing: 12.63, usercpu_time_millis_training: 234.196,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8056, kappa: 0.6, kb_relative_information_score: 18979.5709, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8075, predictive_accuracy: 0.8075, prior_entropy: 0.9835, recall: 0.8075, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7565, scimark_benchmark: 1818.9394, usercpu_time_millis: 208.716, usercpu_time_millis_testing: 15.086, usercpu_time_millis_training: 193.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8169, kappa: 0.6241, kb_relative_information_score: 21026.8346, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.817, predictive_accuracy: 0.8177, prior_entropy: 0.9835, recall: 0.8177, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7266, scimark_benchmark: 1739.5967, usercpu_time_millis: 388.244, usercpu_time_millis_testing: 24.537, usercpu_time_millis_training: 363.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7986, kappa: 0.5855, kb_relative_information_score: 16604.2963, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8054, predictive_accuracy: 0.8024, prior_entropy: 0.9835, recall: 0.8024, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7687, scimark_benchmark: 1734.2699, usercpu_time_millis: 205.243, usercpu_time_millis_testing: 17.337, usercpu_time_millis_training: 187.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8534, kappa: 0.699, kb_relative_information_score: 21878.7153, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.854, prior_entropy: 0.9835, recall: 0.854, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6794, scimark_benchmark: 1848.2024, usercpu_time_millis: 14, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 12.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8333, kappa: 0.6581, kb_relative_information_score: 23331.0726, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 0.9835, recall: 0.8338, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6922, scimark_benchmark: 1825.7683, usercpu_time_millis: 33.392, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 32.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7817, kappa: 0.5511, kb_relative_information_score: 14927.2166, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7936, predictive_accuracy: 0.7875, prior_entropy: 0.9835, recall: 0.7875, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.392, root_relative_squared_error: 0.793, scimark_benchmark: 1790.4883, usercpu_time_millis: 108.406, usercpu_time_millis_testing: 11.469, usercpu_time_millis_training: 96.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7616, kappa: 0.5103, kb_relative_information_score: 16194.0131, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7774, predictive_accuracy: 0.7694, prior_entropy: 0.9835, recall: 0.7694, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7961, scimark_benchmark: 1887.8141, usercpu_time_millis: 118.745, usercpu_time_millis_testing: 10.426, usercpu_time_millis_training: 108.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7919, kappa: 0.5733, kb_relative_information_score: 18616.487, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7923, prior_entropy: 0.9835, recall: 0.7923, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 773.5178, usercpu_time_millis: 129.872, usercpu_time_millis_testing: 6.805, usercpu_time_millis_training: 123.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7485, kappa: 0.4838, kb_relative_information_score: 13169.9743, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8631, scimark_benchmark: 1843.1478, usercpu_time_millis: 19.269, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 17.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8549, kappa: 0.7025, kb_relative_information_score: 25231.7548, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8549, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6479, scimark_benchmark: 1972.2695, usercpu_time_millis: 174.988, usercpu_time_millis_testing: 10.807, usercpu_time_millis_training: 164.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7717, kappa: 0.5308, kb_relative_information_score: 16299.4655, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7855, predictive_accuracy: 0.7785, prior_entropy: 0.9835, recall: 0.7785, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7857, scimark_benchmark: 1828.1604, usercpu_time_millis: 27.007, usercpu_time_millis_testing: 2.279, usercpu_time_millis_training: 24.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8101, kappa: 0.6092, kb_relative_information_score: 17529.3546, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8144, predictive_accuracy: 0.8128, prior_entropy: 0.9835, recall: 0.8128, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7544, scimark_benchmark: 1828.6185, usercpu_time_millis: 45.687, usercpu_time_millis_testing: 4.634, usercpu_time_millis_training: 41.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8689, kappa: 0.7311, kb_relative_information_score: 23620.9232, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.869, predictive_accuracy: 0.8693, prior_entropy: 0.9835, recall: 0.8693, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6467, scimark_benchmark: 1828.4877, usercpu_time_millis: 55.713, usercpu_time_millis_testing: 3.597, usercpu_time_millis_training: 52.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7577, kappa: 0.5027, kb_relative_information_score: 14286.1965, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7757, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8117, scimark_benchmark: 1827.5687, usercpu_time_millis: 100.781, usercpu_time_millis_testing: 11.362, usercpu_time_millis_training: 89.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -7.745, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1845.4545, usercpu_time_millis: 3.18, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7679, kappa: 0.5223, kb_relative_information_score: 16996.0885, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7763, predictive_accuracy: 0.7732, prior_entropy: 0.9835, recall: 0.7732, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7962, scimark_benchmark: 1740.9783, usercpu_time_millis: 15.942, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 15.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7655, kappa: 0.5178, kb_relative_information_score: 16812.278, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7771, predictive_accuracy: 0.7719, prior_entropy: 0.9835, recall: 0.7719, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7943, scimark_benchmark: 1735.9375, usercpu_time_millis: 35.16, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 32.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8012, kappa: 0.5921, kb_relative_information_score: 19557.4519, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8011, predictive_accuracy: 0.8018, prior_entropy: 0.9835, recall: 0.8018, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7584, scimark_benchmark: 1808.6347, usercpu_time_millis: 26.82, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 26.037,

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