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OpenML
OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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Metric:

1323 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 354.7294, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9323, scimark_benchmark: 932.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.5657, kappa: 0.4425, kb_relative_information_score: 189.404, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5722, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9911, scimark_benchmark: 934.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.5751, kappa: 0.458, kb_relative_information_score: 671.2115, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5781, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.236, root_relative_squared_error: 0.8469, scimark_benchmark: 945.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.3223, kappa: 0.1747, kb_relative_information_score: 393.2204, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3341, predictive_accuracy: 0.3949, prior_entropy: 2.5035, recall: 0.3949, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2835, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 943.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.5676, kappa: 0.4531, kb_relative_information_score: 677.1466, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5859, predictive_accuracy: 0.5775, prior_entropy: 2.5035, recall: 0.5775, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8575, scimark_benchmark: 940.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.3872, kappa: 0.2903, kb_relative_information_score: 535.4368, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4779, predictive_accuracy: 0.4036, prior_entropy: 2.5035, recall: 0.4036, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2791, root_relative_squared_error: 1.0013, scimark_benchmark: 918.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.5738, kappa: 0.46, kb_relative_information_score: 676.8642, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5879, predictive_accuracy: 0.5829, prior_entropy: 2.5035, recall: 0.5829, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.858, scimark_benchmark: 938.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.5998, kappa: 0.4905, kb_relative_information_score: 734.402, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5975, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.8219, scimark_benchmark: 944.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 910.4477,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.5829, kappa: 0.4638, kb_relative_information_score: 701.0041, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5865, predictive_accuracy: 0.591, prior_entropy: 2.5035, recall: 0.591, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8484, scimark_benchmark: 933.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.5561, kappa: 0.434, kb_relative_information_score: 91.4079, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.561, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 1.1108, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.0349, scimark_benchmark: 899.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 940.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.5877, kappa: 0.4711, kb_relative_information_score: 183.0343, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5946, predictive_accuracy: 0.5964, prior_entropy: 2.5035, recall: 0.5964, relative_absolute_error: 1.0496, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9969, scimark_benchmark: 933.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.5963, kappa: 0.4884, kb_relative_information_score: 691.4916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5985, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 932.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 356.5746, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9322, scimark_benchmark: 934.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.5682, kappa: 0.4482, kb_relative_information_score: 702.1704, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.567, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.8618, scimark_benchmark: 938.1844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.5985, kappa: 0.4805, kb_relative_information_score: 175.8654, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6039, predictive_accuracy: 0.6051, prior_entropy: 2.5035, recall: 0.6051, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9973, scimark_benchmark: 941.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.583, kappa: 0.4637, kb_relative_information_score: 691.5642, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.587, predictive_accuracy: 0.591, prior_entropy: 2.5035, recall: 0.591, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.5729, kappa: 0.4577, kb_relative_information_score: 180.0453, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6004, predictive_accuracy: 0.5876, prior_entropy: 2.5035, recall: 0.5876, relative_absolute_error: 1.0496, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9975, scimark_benchmark: 930.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.5473, kappa: 0.42, kb_relative_information_score: 685.2, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5473, predictive_accuracy: 0.5519, prior_entropy: 2.5035, recall: 0.5519, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9766, scimark_benchmark: 887.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.1649, kappa: 0.0874, kb_relative_information_score: 233.5656, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4601, predictive_accuracy: 0.2358, prior_entropy: 2.5035, recall: 0.2358, relative_absolute_error: 1.0308, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2915, root_relative_squared_error: 1.046, scimark_benchmark: 934.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.5957, kappa: 0.4887, kb_relative_information_score: 661.6584, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.591, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.8366, scimark_benchmark: 945.9015,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.5908, kappa: 0.4766, kb_relative_information_score: 720.7623, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5941, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.8348, scimark_benchmark: 948.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.5799, kappa: 0.4641, kb_relative_information_score: 673.3111, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5814, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.9034, scimark_benchmark: 944.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 944.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 63.5008, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.1241, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0465, scimark_benchmark: 937.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 920.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.5824, kappa: 0.4746, kb_relative_information_score: 524.8807, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5814, predictive_accuracy: 0.5964, prior_entropy: 2.5035, recall: 0.5964, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.9166, scimark_benchmark: 920.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.5693, kappa: 0.4465, kb_relative_information_score: 693.7395, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5741, predictive_accuracy: 0.5775, prior_entropy: 2.5035, recall: 0.5775, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.847, scimark_benchmark: 936.8851,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.558, kappa: 0.4406, kb_relative_information_score: 607.3009, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5566, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8704, scimark_benchmark: 924.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 931.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 940.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.5756, kappa: 0.4607, kb_relative_information_score: 176.5608, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6007, predictive_accuracy: 0.5903, prior_entropy: 2.5035, recall: 0.5903, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9976, scimark_benchmark: 941.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.3021, kappa: 0.135, kb_relative_information_score: 295.4317, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2794, predictive_accuracy: 0.3605, prior_entropy: 2.5035, recall: 0.3605, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.2832, scimark_benchmark: 934.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.5907, kappa: 0.4783, kb_relative_information_score: 772.2346, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.586, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2813, root_relative_squared_error: 1.0092, scimark_benchmark: 908.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.5553, kappa: 0.4315, kb_relative_information_score: 600.9642, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5547, predictive_accuracy: 0.564, prior_entropy: 2.5035, recall: 0.564, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.5379, kappa: 0.4051, kb_relative_information_score: 680.0379, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.54, predictive_accuracy: 0.5404, prior_entropy: 2.5035, recall: 0.5404, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.9915, scimark_benchmark: 943.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.3216, kappa: 0.1683, kb_relative_information_score: 403.8575, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.337, predictive_accuracy: 0.3922, prior_entropy: 2.5035, recall: 0.3922, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0267, scimark_benchmark: 935.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 936.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.6028, kappa: 0.4891, kb_relative_information_score: 181.787, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6104, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.9965, scimark_benchmark: 937.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 931.0709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.5618, kappa: 0.441, kb_relative_information_score: 642.001, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5612, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.238, root_relative_squared_error: 0.8538, scimark_benchmark: 922.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.5833, kappa: 0.4646, kb_relative_information_score: 772.6138, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5854, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.5925, kappa: 0.4815, kb_relative_information_score: 695.0854, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5906, predictive_accuracy: 0.6018, prior_entropy: 2.5035, recall: 0.6018, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.235, root_relative_squared_error: 0.8432, scimark_benchmark: 944.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.5656, kappa: 0.4486, kb_relative_information_score: 637.0649, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5618, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.8673, scimark_benchmark: 945.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.509, kappa: 0.3653, kb_relative_information_score: 629.3153, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5104, predictive_accuracy: 0.5094, prior_entropy: 2.5035, recall: 0.5094, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.1239, scimark_benchmark: 943.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.6016, kappa: 0.4964, kb_relative_information_score: 692.2247, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6033, predictive_accuracy: 0.6132, prior_entropy: 2.5035, recall: 0.6132, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.8258, scimark_benchmark: 905.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5473, kappa: 0.4238, kb_relative_information_score: 659.5771, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5415, predictive_accuracy: 0.5586, prior_entropy: 2.5035, recall: 0.5586, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5798, kappa: 0.4619, kb_relative_information_score: 769.5681, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9608, scimark_benchmark: 906.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.4946, kappa: 0.3489, kb_relative_information_score: 592.7175, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4963, predictive_accuracy: 0.4939, prior_entropy: 2.5035, recall: 0.4939, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3181, root_relative_squared_error: 1.1415, scimark_benchmark: 938.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 920.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5743, kappa: 0.4584, kb_relative_information_score: 653.153, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5769, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8717, scimark_benchmark: 924.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.5244, kappa: 0.3947, kb_relative_information_score: 452.9026, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5258, predictive_accuracy: 0.5404, prior_entropy: 2.5035, recall: 0.5404, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.895, scimark_benchmark: 944.1339,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.5624, kappa: 0.4408, kb_relative_information_score: 681.4984, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5612, predictive_accuracy: 0.5687, prior_entropy: 2.5035, recall: 0.5687, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9416, scimark_benchmark: 944.1936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 899.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.587, kappa: 0.4761, kb_relative_information_score: 691.7991, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5859, predictive_accuracy: 0.5964, prior_entropy: 2.5035, recall: 0.5964, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.8416, scimark_benchmark: 947.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.5702, kappa: 0.4564, kb_relative_information_score: 181.9609, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.594, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9969, scimark_benchmark: 938.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.1856, kappa: 0.0237, kb_relative_information_score: 51.6279, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3112, predictive_accuracy: 0.3261, prior_entropy: 2.5035, recall: 0.3261, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9912, scimark_benchmark: 945.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.606, kappa: 0.5, kb_relative_information_score: 732.3763, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6029, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8243, scimark_benchmark: 944.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.5865, kappa: 0.4724, kb_relative_information_score: 774.0495, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5831, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0098, scimark_benchmark: 947.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5622, kappa: 0.4445, kb_relative_information_score: 640.9031, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5584, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8759, scimark_benchmark: 942.6922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.5595, kappa: 0.4353, kb_relative_information_score: 733.7973, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5567, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9943, scimark_benchmark: 941.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.0892, kappa: 0.0039, kb_relative_information_score: 101.1565, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1142, predictive_accuracy: 0.1792, prior_entropy: 2.5035, recall: 0.1792, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2994, root_relative_squared_error: 1.0743, scimark_benchmark: 932.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4006, kappa: 0.2516, kb_relative_information_score: 133.0308, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5322, predictive_accuracy: 0.4569, prior_entropy: 2.5035, recall: 0.4569, relative_absolute_error: 1.0596, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2808, root_relative_squared_error: 1.0075, scimark_benchmark: 915.2837,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 936.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 928.8224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.5781, kappa: 0.4618, kb_relative_information_score: 766.9751, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5752, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9863, scimark_benchmark: 939.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.5805, kappa: 0.4562, kb_relative_information_score: 152.6115, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5894, predictive_accuracy: 0.5903, prior_entropy: 2.5035, recall: 0.5903, relative_absolute_error: 1.0522, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0002, scimark_benchmark: 940.0622,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 919.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.5815, kappa: 0.462, kb_relative_information_score: 705.1186, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5837, predictive_accuracy: 0.5896, prior_entropy: 2.5035, recall: 0.5896, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.8547, scimark_benchmark: 934.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 934.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.599, kappa: 0.4883, kb_relative_information_score: 719.8106, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6006, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8262, scimark_benchmark: 921.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.5979, kappa: 0.4835, kb_relative_information_score: 786.5768, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5991, predictive_accuracy: 0.6044, prior_entropy: 2.5035, recall: 0.6044, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9677, scimark_benchmark: 943.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 944.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.243, kappa: 0.072, kb_relative_information_score: 65.2662, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.391, predictive_accuracy: 0.3538, prior_entropy: 2.5035, recall: 0.3538, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2839, root_relative_squared_error: 1.0188, scimark_benchmark: 940.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.5964, kappa: 0.483, kb_relative_information_score: 782.3753, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5951, predictive_accuracy: 0.6031, prior_entropy: 2.5035, recall: 0.6031, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9897, scimark_benchmark: 944.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.5371, kappa: 0.4087, kb_relative_information_score: 132.11, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5699, predictive_accuracy: 0.5613, prior_entropy: 2.5035, recall: 0.5613, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.0035, scimark_benchmark: 942.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.5894, kappa: 0.4754, kb_relative_information_score: 732.5869, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5862, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.835, scimark_benchmark: 944.9093,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.5893, kappa: 0.4741, kb_relative_information_score: 717.4195, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5962, predictive_accuracy: 0.597, prior_entropy: 2.5035, recall: 0.597, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8876, scimark_benchmark: 948.2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.5416, kappa: 0.4038, kb_relative_information_score: 665.5196, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5463, predictive_accuracy: 0.5451, prior_entropy: 2.5035, recall: 0.5451, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.25, root_relative_squared_error: 0.8971, scimark_benchmark: 891.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 916.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.5488, kappa: 0.4329, kb_relative_information_score: 170.8629, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5915, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 909.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.329, kappa: 0.1958, kb_relative_information_score: 388.4052, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2823, predictive_accuracy: 0.4097, prior_entropy: 2.5035, recall: 0.4097, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3436, root_relative_squared_error: 1.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 936.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5622, kappa: 0.4445, kb_relative_information_score: 640.9031, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5584, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8759, scimark_benchmark: 945.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 945.1942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.5794, kappa: 0.4684, kb_relative_information_score: 631.3192, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5905, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.8654, scimark_benchmark: 945.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.5777, kappa: 0.4578, kb_relative_information_score: 728.1068, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5773, predictive_accuracy: 0.5836, prior_entropy: 2.5035, recall: 0.5836, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 947.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.509, kappa: 0.3653, kb_relative_information_score: 629.3153, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5104, predictive_accuracy: 0.5094, prior_entropy: 2.5035, recall: 0.5094, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.1239, scimark_benchmark: 941.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.5982, kappa: 0.4835, kb_relative_information_score: 181.7513, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.608, predictive_accuracy: 0.6065, prior_entropy: 2.5035, recall: 0.6065, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9966, scimark_benchmark: 947.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.5273, kappa: 0.392, kb_relative_information_score: 645.4898, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5276, predictive_accuracy: 0.5276, prior_entropy: 2.5035, recall: 0.5276, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.1028, scimark_benchmark: 932.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.6132, kappa: 0.5085, kb_relative_information_score: 728.4755, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6108, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8182, scimark_benchmark: 942.4908,

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

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

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