Task
Supervised Classification on rabe_131

Supervised Classification on rabe_131

Task 3738 Supervised Classification rabe_131 526 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9402, kappa: 0.8777, kb_relative_information_score: 35.8412, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9411, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 43.7198, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.9337, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.96, kappa: 0.9179, kb_relative_information_score: 42.1556, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 42.1598, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.4474, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9597, kappa: 0.9168, kb_relative_information_score: 43.4317, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9626, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 46.9791, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8408, kappa: 0.6759, kb_relative_information_score: 32.8935, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.8443, predictive_accuracy: 0.84, prior_entropy: 0.9829, recall: 0.84, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 46.5454, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.9179, kb_relative_information_score: 42.1057, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8996, kappa: 0.7934, kb_relative_information_score: 38.6511, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9829, recall: 0.9, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 44.2148, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9204, kappa: 0.8379, kb_relative_information_score: 34.9611, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9237, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 44.2148, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.8797, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.0088, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 30.13, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.4258, kb_relative_information_score: -0.1236, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.9179, kb_relative_information_score: 43.1167, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.9179, kb_relative_information_score: 43.1167, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9006, kappa: 0.7987, kb_relative_information_score: 35.4545, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9077, predictive_accuracy: 0.9, prior_entropy: 0.9829, recall: 0.9, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.8505, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.001, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.6955, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.92, kappa: 0.8358, kb_relative_information_score: 35.4761, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45.965, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.1696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9404, kappa: 0.8792, kb_relative_information_score: 42.209, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9475, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.6955, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.4258, kb_relative_information_score: -0.1239, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 43.2928, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1461.2356, usercpu_time_millis: 3843.75, usercpu_time_millis_training: 3843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1461.2356, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 6.4591, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.313, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 6.4591, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.313, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 48.8368, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.0865, scimark_benchmark: 1657.4226, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 6.4591, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.313, scimark_benchmark: 1670.1103, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 6.4591, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9829, recall: 0.58, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.313, scimark_benchmark: 1350.6423, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1617.0173, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1693.625, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.4866, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1723, scimark_benchmark: 1908.2191, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.598, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1593, scimark_benchmark: 1485.291, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45.1413, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2499, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.6955, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3567, scimark_benchmark: 1353.1338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.4727, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1476, scimark_benchmark: 1296.1296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 43.6041, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4966, scimark_benchmark: 1244.1789, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9193, kappa: 0.8336, kb_relative_information_score: 40.3239, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9218, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5624, scimark_benchmark: 1320.1585, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1307.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 694.8407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 46.0903, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.164, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.4474, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.372, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.6955, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3567, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.4725, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1476, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 43.6041, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4966, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9193, kappa: 0.8336, kb_relative_information_score: 40.3239, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9218, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5624, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 46.0269, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.1689, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 43.4474, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.372, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 43.6041, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4966, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.4542, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1492, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.93, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, root_mean_prior_squared_error: 0.4936, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 47.5014, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1582, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 49.5737, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0604, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1480.5038, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9799, kappa: 0.9587, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9807, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1010.2819, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9404, kappa: 0.8792, kb_relative_information_score: 42.206, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9475, predictive_accuracy: 0.94, prior_entropy: 0.9829, recall: 0.94, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3477, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 46.5107, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2253, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9205, kappa: 0.84, kb_relative_information_score: 37.9718, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9328, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5152, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9204, kappa: 0.8379, kb_relative_information_score: 35.1428, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9237, predictive_accuracy: 0.92, prior_entropy: 0.9829, recall: 0.92, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5059, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 45.1427, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.2858, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9006, kappa: 0.7987, kb_relative_information_score: 35.4545, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9077, predictive_accuracy: 0.9, prior_entropy: 0.9829, recall: 0.9, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5893, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9801, kappa: 0.9592, kb_relative_information_score: 47.8599, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.9829, recall: 0.98, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2865, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9602, kappa: 0.919, kb_relative_information_score: 45.7899, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.9635, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4052, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs