Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 3827 Supervised Classification pasture 483 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 20.3218, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8752, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 19.2604, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8086, scimark_benchmark: 1313.9976, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 19.4827, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7205, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 1260.1387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7694, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6686, scimark_benchmark: 1281.7531, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 26.0927, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6517, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 26.0927, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6517, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7694, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6686, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 19.4827, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7205, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 20.3218, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8752, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 26.0927, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6517, scimark_benchmark: 1325.8468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 19.2604, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8086, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 26.0927, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6517, scimark_benchmark: 1336.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 25.9942, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6211, scimark_benchmark: 1333.202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7694, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6686, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 19.2604, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8086, scimark_benchmark: 1051.249, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 19.4438, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9276, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.3639, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8432, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 16.3379, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7863, scimark_benchmark: 899.1108, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.4911, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7151, scimark_benchmark: 938.988, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 16.9765, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7391, scimark_benchmark: 938.3401, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.7778, kappa: 0.5, kb_relative_information_score: 17.6733, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.96, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.5333, kb_relative_information_score: -0.402, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0052, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7721, kappa: 0.4783, kb_relative_information_score: 16.9433, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7718, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9719, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7721, kappa: 0.4783, kb_relative_information_score: 16.9433, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7718, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9719, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.7462, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7127, scimark_benchmark: 934.6244, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7499, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8659, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7467, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8659, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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