OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 234 Supervised Classification labor 336 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

336 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.003, build_memory: 574409888, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.7875, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.819, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.003, build_memory: 261128104, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.7875, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.819, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.003, build_memory: 1807175936, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.7875, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.819, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 0.167, build_memory: 1208676640, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 10.179, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6664, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, build_cpu_time: 0.023, build_memory: 1455860088, f_measure: 0.9435, kappa: 0.88, kb_relative_information_score: 12.657, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9491, predictive_accuracy: 0.9444, prior_entropy: 0.9393, recall: 0.9444, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5419, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.004, build_memory: 227056128, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 3.2328, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.601, root_relative_squared_error: 1.23, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.015, build_memory: 1140156256, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.7093, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5382, scimark_benchmark: 943.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.015, build_memory: 166637176, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.7093, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5382, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.011, build_memory: 1253142928, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.7093, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5382, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 21.709, build_memory: 182298448, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.8555, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5813, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 35.003, build_memory: 775722752, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.6447, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5886, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 0.024, build_memory: 1057587776, f_measure: 0.7685, kappa: 0.5068, kb_relative_information_score: 9.1333, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7812, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6814, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.01, build_memory: 372748448, f_measure: 0.7685, kappa: 0.5068, kb_relative_information_score: 9.1502, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7812, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6757, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 0.006, build_memory: 36534472, f_measure: 0.8305, kappa: 0.64, kb_relative_information_score: 9.2391, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6638, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.003, build_memory: 39414488, f_measure: 0.7685, kappa: 0.5068, kb_relative_information_score: 8.7929, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7812, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.71, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.002, build_memory: 1715162872, f_measure: 0.7685, kappa: 0.5068, kb_relative_information_score: 8.8378, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7812, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7242, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.121, build_memory: 1871830832, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 9.3615, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6554, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.468, build_memory: 1642718920, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 9.9526, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6359, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 1.134, build_memory: 9787680, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 9.9761, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6436, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 1.346, build_memory: 14611928, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 10.2093, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6335, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 2.701, build_memory: 196322256, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 10.426, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6337, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.006, build_memory: 130192824, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.006, build_memory: 1875765408, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.005, build_memory: 1195898136, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.003, build_memory: 66720160, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.002, build_memory: 853737792, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.002, build_memory: 373985080, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.002, build_memory: 1351130344, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 0.127, build_memory: 190051456, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 9.049, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8161, scimark_benchmark: 930.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.047, build_memory: 375215776, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.5439, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9007, scimark_benchmark: 945.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.049, build_memory: 2654496240, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.5439, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9007, scimark_benchmark: 946.6584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, build_cpu_time: 0.024, build_memory: 1233632352, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.4028, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8902, scimark_benchmark: 913.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.011, build_memory: 16301304, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.4471, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9, scimark_benchmark: 946.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.005, build_memory: 1183640240, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.4655, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8993, scimark_benchmark: 934.5594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, build_memory: 1732068744, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 926.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, build_memory: 715542368, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 900.7682,

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