OpenML
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: 0.2494, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2207.8338, 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: 0.7985, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0627,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.993, kb_relative_information_score: -12346.0675, mean_absolute_error: 0.0105, 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: 1.4115, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -95871.6069, mean_absolute_error: 0.2251, 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: 30.1835, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2775, root_relative_squared_error: 4.9705,
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,
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: 0.9553, f_measure: 0.993, kb_relative_information_score: -3332.8283, 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: 0.8005, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.9923,
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: 0.2494, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.993, kb_relative_information_score: -1892.9665, mean_absolute_error: 0.0057, 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: 0.7673, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.9972,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1731.6159, mean_absolute_error: 0.0051, 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: 0.6786, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0684,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -1132.7112, mean_absolute_error: 0.0056, 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: 0.7529, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0611, root_relative_squared_error: 1.0951, scimark_benchmark: 1424.2043, usercpu_time_millis: 550, usercpu_time_millis_testing: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.993, kb_relative_information_score: -25858.3008, mean_absolute_error: 0.0157, 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: 2.1044, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0565, root_relative_squared_error: 1.0127, scimark_benchmark: 1245.9437, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.9916, kappa: 0.0962, kb_relative_information_score: -1521.3885, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0633, root_relative_squared_error: 1.1341, scimark_benchmark: 1546.9004, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -127.6973, mean_absolute_error: 0.0039, 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: 0.5259, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0609, root_relative_squared_error: 1.0916, scimark_benchmark: 1634.5548, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -1111.7004, mean_absolute_error: 0.0069, 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: 0.9283, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0735, root_relative_squared_error: 1.3159, scimark_benchmark: 1503.4796, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.993, kb_relative_information_score: -85983.1261, mean_absolute_error: 0.1542, 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: 20.6673, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1705, root_relative_squared_error: 3.0543, scimark_benchmark: 1804.3342, usercpu_time_millis: 5450, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -1244.4067, mean_absolute_error: 0.0065, 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: 0.8739, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0738, root_relative_squared_error: 1.3213, scimark_benchmark: 1428.2091, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.993, kb_relative_information_score: -1052.1555, 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: 0.7167, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0587, root_relative_squared_error: 1.0516, scimark_benchmark: 1423.4578, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.993, kb_relative_information_score: -1035.1807, 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: 0.7035, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0411, scimark_benchmark: 1425.3241, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.993, kb_relative_information_score: -1035.1807, 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: 0.7035, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0411, scimark_benchmark: 1556.7556, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9916, kappa: 0.0962, kb_relative_information_score: -1824.3984, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 1.3304, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0632, root_relative_squared_error: 1.1328, scimark_benchmark: 1426.8901, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -923.7325, mean_absolute_error: 0.0052, 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: 0.6968, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0416, scimark_benchmark: 1531.4372, usercpu_time_millis: 770, usercpu_time_millis_testing: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -1002.5875, mean_absolute_error: 0.0057, 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: 0.7607, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0629, root_relative_squared_error: 1.1274, scimark_benchmark: 1448.3832, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4367, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -972.3426, mean_absolute_error: 0.0053, 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: 0.7141, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0597, root_relative_squared_error: 1.0693, scimark_benchmark: 1609.9855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4529, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -932.9631, mean_absolute_error: 0.0053, 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: 0.705, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0594, root_relative_squared_error: 1.0632, scimark_benchmark: 1443.8435, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.992, kappa: -0.002, kb_relative_information_score: -1023.028, mean_absolute_error: 0.0057, 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: 0.7696, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0893, scimark_benchmark: 1440.9745, usercpu_time_millis: 1900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.9928, kappa: 0.2694, kb_relative_information_score: -1508.4663, 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: 0.804, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0575, root_relative_squared_error: 1.0309, scimark_benchmark: 1457.2037, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4514, f_measure: 0.993, kb_relative_information_score: -902.0193, mean_absolute_error: 0.0051, 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: 0.6807, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0568, root_relative_squared_error: 1.0168, scimark_benchmark: 1399.1148, usercpu_time_millis: 2400, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 1540,
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: 1471.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3895, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -1809.7849, mean_absolute_error: 0.0085, 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: 1.1432, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1615, scimark_benchmark: 1428.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.993, kb_relative_information_score: -1348.7229, 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: 0.7861, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.9799, scimark_benchmark: 1428.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4338, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1064.5094, mean_absolute_error: 0.0055, 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: 0.7395, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0604, root_relative_squared_error: 1.0823, scimark_benchmark: 1449.7395, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3274, f_measure: 0.993, kb_relative_information_score: -171.8154, mean_absolute_error: 0.0057, 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: 0.7586, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0059, scimark_benchmark: 1430.1905, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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, scimark_benchmark: 1666.3918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -249.2328, mean_absolute_error: 0.0054, 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: 0.7239, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0629, root_relative_squared_error: 1.127, scimark_benchmark: 1429.0585, usercpu_time_millis: 860, usercpu_time_millis_testing: 860,
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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: 1422.7462, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -304.1283, 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: 0.7546, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3439, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -307.6021, 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: 0.6896, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0688, root_relative_squared_error: 1.2321, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9822, kappa: 0.1832, kb_relative_information_score: -5125.9782, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9719, prior_entropy: 0.0626, recall: 0.9719, relative_absolute_error: 2.852, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1311, root_relative_squared_error: 2.3482, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 160.237, 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: 1.0017, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2026.6047, 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: 0.818, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0603, root_relative_squared_error: 1.0797, scimark_benchmark: 1315.0767, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -188.037, mean_absolute_error: 0.005, 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: 0.6707, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0707, root_relative_squared_error: 1.2671, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9936, kappa: 0.2476, kb_relative_information_score: -1040.2941, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9928, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.997, scimark_benchmark: 1073.494,
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: 1028.5889,
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: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 160.237, 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: 1.0017, scimark_benchmark: 1466.6185,
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: 1361.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.9887, kappa: -0.0053, kb_relative_information_score: -2200.1063, mean_absolute_error: 0.0093, 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: 1.2495, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0855, root_relative_squared_error: 1.5322, scimark_benchmark: 1310.9044, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -112580.4824, mean_absolute_error: 0.4444, 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: 59.5845, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.4714, root_relative_squared_error: 8.4444, scimark_benchmark: 1339.4189, usercpu_time_millis: 3580, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -1290.7013, 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: 1.0192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 1334.8272, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.993, kb_relative_information_score: -36170.9663, mean_absolute_error: 0.0227, 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: 3.0465, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0377, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1333.1945, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
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: 1263.2205, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.9835, kappa: -0.0067, kb_relative_information_score: -2223.8451, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9765, prior_entropy: 0.0626, recall: 0.9765, relative_absolute_error: 2.0288, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.121, root_relative_squared_error: 2.1674, scimark_benchmark: 906.4475, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.9701, kappa: 0.0778, kb_relative_information_score: -5512.8095, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9935, predictive_accuracy: 0.9493, prior_entropy: 0.0626, recall: 0.9493, relative_absolute_error: 4.5275, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1838, root_relative_squared_error: 3.2919, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
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, scimark_benchmark: 939.5205, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,

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