Task
Supervised Classification on house_16H

Supervised Classification on house_16H

Task 3686 Supervised Classification house_16H 390 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: 0.7586, f_measure: 0.8173, kappa: 0.5502, kb_relative_information_score: 12419.8827, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8183, predictive_accuracy: 0.8238, prior_entropy: 0.8764, recall: 0.8238, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9195, usercpu_time_millis: 13.713, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 13.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8209, kappa: 0.5597, kb_relative_information_score: 12600.612, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8217, predictive_accuracy: 0.8269, prior_entropy: 0.8764, recall: 0.8269, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9114, usercpu_time_millis: 6.93, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 6.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1352, kb_relative_information_score: -18629.414, mean_absolute_error: 0.704, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.0876, predictive_accuracy: 0.296, prior_entropy: 0.8764, recall: 0.296, relative_absolute_error: 1.6892, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.839, root_relative_squared_error: 1.838, usercpu_time_millis: 0.827, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.8047, kappa: 0.5155, kb_relative_information_score: 11906.0951, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8096, predictive_accuracy: 0.8151, prior_entropy: 0.8764, recall: 0.8151, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.43, root_relative_squared_error: 0.942, usercpu_time_millis: 3.776, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 3.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7965, kappa: 0.4946, kb_relative_information_score: 11490.4177, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8018, predictive_accuracy: 0.808, prior_entropy: 0.8764, recall: 0.808, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9598, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8823, kappa: 0.7149, kb_relative_information_score: 15933.777, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8819, predictive_accuracy: 0.8836, prior_entropy: 0.8764, recall: 0.8836, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7475, usercpu_time_millis: 293.771, usercpu_time_millis_testing: 16.572, usercpu_time_millis_training: 277.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8659, kappa: 0.6734, kb_relative_information_score: 15040.4578, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8659, predictive_accuracy: 0.8684, prior_entropy: 0.8764, recall: 0.8684, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7948, usercpu_time_millis: 355.622, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 355.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.858, kappa: 0.6564, kb_relative_information_score: 14503.4336, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8573, predictive_accuracy: 0.8592, prior_entropy: 0.8764, recall: 0.8592, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.8219, usercpu_time_millis: 14.853, usercpu_time_millis_testing: 14.754, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8601, kappa: 0.6623, kb_relative_information_score: 14601.5438, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8595, predictive_accuracy: 0.8609, prior_entropy: 0.8764, recall: 0.8609, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.817, usercpu_time_millis: 20.614, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 20.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.8005, kappa: 0.5044, kb_relative_information_score: 11727.9476, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8066, predictive_accuracy: 0.8121, prior_entropy: 0.8764, recall: 0.8121, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9497, usercpu_time_millis: 28.785, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 28.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8863, kappa: 0.7256, kb_relative_information_score: 16137.743, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8859, predictive_accuracy: 0.887, prior_entropy: 0.8764, recall: 0.887, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7363, usercpu_time_millis: 1309.188, usercpu_time_millis_testing: 7.367, usercpu_time_millis_training: 1301.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7887, kappa: 0.4735, kb_relative_information_score: 11188.3415, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.797, predictive_accuracy: 0.8029, prior_entropy: 0.8764, recall: 0.8029, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9726, usercpu_time_millis: 15.172, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 15.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5817, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918, usercpu_time_millis: 14.722, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 14.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5817, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918, usercpu_time_millis: 7.462, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 7.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8499, kappa: 0.6364, kb_relative_information_score: 14046.4466, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8491, predictive_accuracy: 0.8515, prior_entropy: 0.8764, recall: 0.8515, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.8442, usercpu_time_millis: 15.21, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 14.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8806, kappa: 0.7097, kb_relative_information_score: 15866.649, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8805, predictive_accuracy: 0.8824, prior_entropy: 0.8764, recall: 0.8824, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7512, usercpu_time_millis: 469.369, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 466.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8863, kappa: 0.7246, kb_relative_information_score: 16163.5614, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8859, predictive_accuracy: 0.8875, prior_entropy: 0.8764, recall: 0.8875, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7349, usercpu_time_millis: 192.592, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 190.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.6509, kappa: 0.1343, kb_relative_information_score: 3334.3618, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.6421, predictive_accuracy: 0.6694, prior_entropy: 0.8764, recall: 0.6694, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.575, root_relative_squared_error: 1.2596, usercpu_time_millis: 75.28, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 74.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8209, kappa: 0.5597, kb_relative_information_score: 12600.612, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8217, predictive_accuracy: 0.8269, prior_entropy: 0.8764, recall: 0.8269, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9114, usercpu_time_millis: 5.864, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 5.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8641, kappa: 0.6695, kb_relative_information_score: 14908.7836, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8637, predictive_accuracy: 0.8661, prior_entropy: 0.8764, recall: 0.8661, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.8015, usercpu_time_millis: 113.399, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 113.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.849, kappa: 0.6325, kb_relative_information_score: 11449.6627, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8485, predictive_accuracy: 0.8516, prior_entropy: 0.8764, recall: 0.8516, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7531, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 7777.5875, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8459, predictive_accuracy: 0.8482, prior_entropy: 0.8764, recall: 0.8482, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7509, scimark_benchmark: 972.587, usercpu_time_millis: 5940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8469, kappa: 0.6292, kb_relative_information_score: 11204.955, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8461, predictive_accuracy: 0.8485, prior_entropy: 0.8764, recall: 0.8485, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7168, scimark_benchmark: 851.2074, usercpu_time_millis: 18130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 931.771, usercpu_time_millis: 380220, usercpu_time_millis_testing: 78610, usercpu_time_millis_training: 301610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 941.6675, usercpu_time_millis: 850, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 938.191, usercpu_time_millis: 550, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.882, kappa: 0.7147, kb_relative_information_score: 13557.3573, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8816, predictive_accuracy: 0.883, prior_entropy: 0.8764, recall: 0.883, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6335, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 932.438, usercpu_time_millis: 297440, usercpu_time_millis_testing: 60110, usercpu_time_millis_training: 237330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 974.2014, usercpu_time_millis: 1450, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 947.1781, usercpu_time_millis: 500, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8661, kappa: 0.6768, kb_relative_information_score: 13550.7419, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8656, predictive_accuracy: 0.867, prior_entropy: 0.8764, recall: 0.867, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7106, scimark_benchmark: 936.3373, usercpu_time_millis: 32180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 32060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8924, kappa: 0.7392, kb_relative_information_score: 13700.4989, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8922, predictive_accuracy: 0.8937, prior_entropy: 0.8764, recall: 0.8937, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6104, scimark_benchmark: 943.1009, usercpu_time_millis: 20370, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 18810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.849, kappa: 0.6325, kb_relative_information_score: 11449.6627, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8485, predictive_accuracy: 0.8516, prior_entropy: 0.8764, recall: 0.8516, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7531, scimark_benchmark: 819.5729, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 7777.5875, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8459, predictive_accuracy: 0.8482, prior_entropy: 0.8764, recall: 0.8482, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7509, scimark_benchmark: 901.6243, usercpu_time_millis: 5140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8469, kappa: 0.6292, kb_relative_information_score: 11204.955, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8461, predictive_accuracy: 0.8485, prior_entropy: 0.8764, recall: 0.8485, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7168, scimark_benchmark: 944.0133, usercpu_time_millis: 12950, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 905.2959, usercpu_time_millis: 342260, usercpu_time_millis_testing: 69450, usercpu_time_millis_training: 272810,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.882, kappa: 0.7147, kb_relative_information_score: 13557.3573, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8816, predictive_accuracy: 0.883, prior_entropy: 0.8764, recall: 0.883, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6335, scimark_benchmark: 946.9304, usercpu_time_millis: 4910, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 879.4299, usercpu_time_millis: 930, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8661, kappa: 0.6768, kb_relative_information_score: 13550.7419, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8656, predictive_accuracy: 0.867, prior_entropy: 0.8764, recall: 0.867, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7106, scimark_benchmark: 946.6409, usercpu_time_millis: 31600, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 31480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8924, kappa: 0.7392, kb_relative_information_score: 13700.4989, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8922, predictive_accuracy: 0.8937, prior_entropy: 0.8764, recall: 0.8937, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6104, scimark_benchmark: 879.4299, usercpu_time_millis: 24920, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 23270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.849, kappa: 0.6325, kb_relative_information_score: 11449.6627, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8485, predictive_accuracy: 0.8516, prior_entropy: 0.8764, recall: 0.8516, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7531, scimark_benchmark: 946.9304, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 1286.2211, usercpu_time_millis: 578920, usercpu_time_millis_testing: 137130, usercpu_time_millis_training: 441790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8376, kappa: 0.6216, kb_relative_information_score: 12643.517, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8463, predictive_accuracy: 0.834, prior_entropy: 0.8764, recall: 0.834, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.8075, scimark_benchmark: 1327.5842, usercpu_time_millis: 440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1327.5842, usercpu_time_millis: 400, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1346.2927, usercpu_time_millis: 610, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8376, kappa: 0.6216, kb_relative_information_score: 12643.517, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8463, predictive_accuracy: 0.834, prior_entropy: 0.8764, recall: 0.834, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.8075, scimark_benchmark: 1325.8468, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1335.974, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 926.6704, usercpu_time_millis: 680, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1322.5413, usercpu_time_millis: 600, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8661, kappa: 0.6768, kb_relative_information_score: 13550.7419, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8656, predictive_accuracy: 0.867, prior_entropy: 0.8764, recall: 0.867, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7106, scimark_benchmark: 1322.5413, usercpu_time_millis: 34490, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 34260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 7777.5875, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8459, predictive_accuracy: 0.8482, prior_entropy: 0.8764, recall: 0.8482, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7509, scimark_benchmark: 1314.9949, usercpu_time_millis: 4360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.849, kappa: 0.6325, kb_relative_information_score: 11449.6627, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8485, predictive_accuracy: 0.8516, prior_entropy: 0.8764, recall: 0.8516, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7531, scimark_benchmark: 1340.9446, usercpu_time_millis: 590, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 1312.8274, usercpu_time_millis: 694140, usercpu_time_millis_testing: 138250, usercpu_time_millis_training: 555890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1336.0954, usercpu_time_millis: 550, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1313.8988, usercpu_time_millis: 400, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1313.8988, usercpu_time_millis: 400, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1336.0954, usercpu_time_millis: 480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 7777.5875, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8459, predictive_accuracy: 0.8482, prior_entropy: 0.8764, recall: 0.8482, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7509, scimark_benchmark: 1360.6367, usercpu_time_millis: 5550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8376, kappa: 0.6216, kb_relative_information_score: 12643.517, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8463, predictive_accuracy: 0.834, prior_entropy: 0.8764, recall: 0.834, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.8075, scimark_benchmark: 1324.7884, usercpu_time_millis: 470, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.7276, kappa: 0.328, kb_relative_information_score: 7393.0259, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.7241, predictive_accuracy: 0.7384, prior_entropy: 0.8764, recall: 0.7384, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1205, scimark_benchmark: 1349.1517, usercpu_time_millis: 587400, usercpu_time_millis_testing: 122300, usercpu_time_millis_training: 465100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8376, kappa: 0.6216, kb_relative_information_score: 12643.517, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8463, predictive_accuracy: 0.834, prior_entropy: 0.8764, recall: 0.834, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.8075, scimark_benchmark: 1340.5125, usercpu_time_millis: 510, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.882, kappa: 0.7147, kb_relative_information_score: 13557.3573, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8816, predictive_accuracy: 0.883, prior_entropy: 0.8764, recall: 0.883, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.6335, scimark_benchmark: 1349.1517, usercpu_time_millis: 5020, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8924, kappa: 0.7392, kb_relative_information_score: 13700.4989, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8922, predictive_accuracy: 0.8937, prior_entropy: 0.8764, recall: 0.8937, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6104, scimark_benchmark: 1331.2559, usercpu_time_millis: 24420, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 21970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 1375.1578, usercpu_time_millis: 390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8644, kappa: 0.678, kb_relative_information_score: 13982.2755, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8665, predictive_accuracy: 0.8631, prior_entropy: 0.8764, recall: 0.8631, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7129, scimark_benchmark: 930.5999, usercpu_time_millis: 1010, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 840,

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