Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2068 Supervised Classification solar-flare 1232 runs submitted
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  • at2 study_1 study_41 study_70 under100k under1m
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1232 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1470.0112, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2192, scimark_benchmark: 940.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 939.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.993, kb_relative_information_score: -2241.2532, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -386.0237, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0746, root_relative_squared_error: 1.3358, scimark_benchmark: 935.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 940.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3266, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -226.6089, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0984, scimark_benchmark: 948.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -307.9666, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0711, root_relative_squared_error: 1.2737, scimark_benchmark: 943.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 44.1457, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0973, scimark_benchmark: 945.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.9887, kappa: -0.0055, kb_relative_information_score: -972.15, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9869, prior_entropy: 0.0626, recall: 0.9869, relative_absolute_error: 1.1803, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0923, root_relative_squared_error: 1.6541, scimark_benchmark: 883.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 945.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -786.6836, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0787, root_relative_squared_error: 1.4094, scimark_benchmark: 596.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -268.8652, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0709, root_relative_squared_error: 1.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.9916, kappa: -0.0028, kb_relative_information_score: -710.8764, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0695, root_relative_squared_error: 1.2444,
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: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 923.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.993, kb_relative_information_score: -11042.2738, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.5747, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0049, scimark_benchmark: 944.9415,
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: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 933.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 939.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.9911, kappa: 0.0869, kb_relative_information_score: -1817.936, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0772, root_relative_squared_error: 1.3836, scimark_benchmark: 945.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -396.6799, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3445, scimark_benchmark: 937.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -1237.4277, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0711, root_relative_squared_error: 1.2736, scimark_benchmark: 944.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4485, f_measure: 0.993, kb_relative_information_score: 41.7225, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1470.0112, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2192, scimark_benchmark: 937.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -268.8652, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0709, root_relative_squared_error: 1.2708, scimark_benchmark: 945.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 911.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 945.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.993, kb_relative_information_score: 160.2326, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0016, scimark_benchmark: 927.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9897, kappa: -0.0049, kb_relative_information_score: -930.3046, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9887, prior_entropy: 0.0626, recall: 0.9887, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0843, root_relative_squared_error: 1.5098, scimark_benchmark: 933.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.993, kb_relative_information_score: -571.489, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.9928, kappa: 0.2694, kb_relative_information_score: -1646.7183, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9931, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0088, scimark_benchmark: 940.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 938.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 937.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2046.5946, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0614, root_relative_squared_error: 1.1002, scimark_benchmark: 941.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -296.5323, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0725, root_relative_squared_error: 1.2979, scimark_benchmark: 944.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -1267.3977, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1599, scimark_benchmark: 940.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -883.0138, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1212, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6223, scimark_benchmark: 944.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 947.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -844.7909, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0741, root_relative_squared_error: 1.3277, scimark_benchmark: 944.4453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -636.5144, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0807, root_relative_squared_error: 1.4449, scimark_benchmark: 940.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.993, kb_relative_information_score: -1465.3829, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.057, root_relative_squared_error: 1.0208, scimark_benchmark: 945.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 915.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 928.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1503.9935, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.061, root_relative_squared_error: 1.0922, scimark_benchmark: 944.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 935.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 937.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -310.8802, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.071, root_relative_squared_error: 1.2726, scimark_benchmark: 945.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.993, kb_relative_information_score: -1517.3063, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.958, scimark_benchmark: 942.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -304.0948, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 916.8025,
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: 0.5934, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -860.6191, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1193, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6222, scimark_benchmark: 940.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -1282.5765, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0699, root_relative_squared_error: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -1083.2162, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0624, root_relative_squared_error: 1.1176, scimark_benchmark: 946.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -205.9392, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9932, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0657, root_relative_squared_error: 1.1771, scimark_benchmark: 944.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.993, kb_relative_information_score: -2374.2808, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0408, scimark_benchmark: 946.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -622.6093, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0798, root_relative_squared_error: 1.4299, scimark_benchmark: 919.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -52.9451, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0892, scimark_benchmark: 947.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.993, kb_relative_information_score: -2112.6465, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0053, scimark_benchmark: 942.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 941.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -729.8429, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9932, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0644, root_relative_squared_error: 1.153, scimark_benchmark: 942.2855,
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: 0.8401, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1798.2113, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0617, scimark_benchmark: 918.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.9897, kappa: -0.0049, kb_relative_information_score: -744.7578, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9887, prior_entropy: 0.0626, recall: 0.9887, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0871, root_relative_squared_error: 1.56, scimark_benchmark: 945.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -95807.6813, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 30.0717, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.276, root_relative_squared_error: 4.9435, scimark_benchmark: 853.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -1277.503, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 930.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0528, build_memory: 60414138.9043, f_measure: 0.993, kb_relative_information_score: -713.7066, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0047, scimark_benchmark: 935.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0614, build_memory: 1067096915.4221, f_measure: 0.993, kb_relative_information_score: -713.7066, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0047, scimark_benchmark: 946.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.0149, build_memory: 197320458.8293, f_measure: 0.993, kb_relative_information_score: -513.1642, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0019, scimark_benchmark: 945.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1652.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.9949, kappa: 0.3324, kb_relative_information_score: -274.4233, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9953, predictive_accuracy: 0.9962, prior_entropy: 0.0626, recall: 0.9962, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.9438, scimark_benchmark: 1579.6275, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.9949, kappa: 0.3324, kb_relative_information_score: -1007.7599, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9953, predictive_accuracy: 0.9962, prior_entropy: 0.0626, recall: 0.9962, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.9242, scimark_benchmark: 2762.7874, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9887, kappa: 0.1526, kb_relative_information_score: -1827.557, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9927, predictive_accuracy: 0.985, prior_entropy: 0.0626, recall: 0.985, relative_absolute_error: 1.42, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0956, root_relative_squared_error: 1.712, scimark_benchmark: 878.9841, usercpu_time_millis: 15562.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.9949, kappa: 0.3324, kb_relative_information_score: -1007.7599, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9953, predictive_accuracy: 0.9962, prior_entropy: 0.0626, recall: 0.9962, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.9242, scimark_benchmark: 878.9841, usercpu_time_millis: 2109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.9949, kappa: 0.3324, kb_relative_information_score: -1007.7599, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9953, predictive_accuracy: 0.9962, prior_entropy: 0.0626, recall: 0.9962, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.9242, scimark_benchmark: 1726.9412, usercpu_time_millis: 1180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1841.2546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1523.074, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1442.0034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.993, kb_relative_information_score: -960.2007, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0372, scimark_benchmark: 1454.2741, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1811.2511, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 1.2365, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0406, scimark_benchmark: 1501.7131, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1440.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4452, f_measure: 0.993, kb_relative_information_score: -961.644, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0401, scimark_benchmark: 1421.8593, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1435.3367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1411.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1647.7877, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1409.3233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -791.1292, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0791, root_relative_squared_error: 1.4166, scimark_benchmark: 1531.7719, usercpu_time_millis: 1790, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -622.6136, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0798, root_relative_squared_error: 1.4299, scimark_benchmark: 1788.5946, usercpu_time_millis: 6400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.993, kb_relative_information_score: -8.69, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.9653, scimark_benchmark: 1430.3793, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.993, kb_relative_information_score: -22808.066, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.92, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 1439.7631, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.993, kb_relative_information_score: -1079.2549, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0575, root_relative_squared_error: 1.0293, scimark_benchmark: 1450.6833, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1570.6254, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -1447.6031, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0628, root_relative_squared_error: 1.1248, scimark_benchmark: 1495.0239, usercpu_time_millis: 2010, usercpu_time_millis_testing: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.993, kb_relative_information_score: -935.9282, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0365, scimark_benchmark: 1531.0941, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1503.9937, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.061, root_relative_squared_error: 1.0922, scimark_benchmark: 1480.8523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.993, kb_relative_information_score: -2395.8842, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.997, scimark_benchmark: 1565.5515,

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

estimation_procedure 10-fold Crossvalidation
evaluation_measures predictive_accuracy
source_data solar-flare (2)
target_feature X-class_flares_production_by_this_region

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs