OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2067 Supervised Classification solar-flare 633 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9452, kappa: 0.1199, kb_relative_information_score: -644.89, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9644, predictive_accuracy: 0.9288, prior_entropy: 0.1666, recall: 0.9288, relative_absolute_error: 1.5361, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.5622, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: -84.8627, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: -84.8627, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.9676, kb_relative_information_score: -230.1682, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1462, root_relative_squared_error: 1.0041, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 943.8235, usercpu_time_millis: 1260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 938.5498, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9518, kappa: 0.2056, kb_relative_information_score: -646.0223, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9689, predictive_accuracy: 0.9381, prior_entropy: 0.1666, recall: 0.9381, relative_absolute_error: 1.5375, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.5702, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 936.3373, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 859.5223, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9518, kappa: 0.2056, kb_relative_information_score: -646.0223, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9689, predictive_accuracy: 0.9381, prior_entropy: 0.1666, recall: 0.9381, relative_absolute_error: 1.5375, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.5702, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.9676, kb_relative_information_score: -230.1682, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1462, root_relative_squared_error: 1.0041, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 941.7976, usercpu_time_millis: 810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 935.5664, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.333, f_measure: 0.9676, kb_relative_information_score: -3.737, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 937.5683, usercpu_time_millis: 2190, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4268, f_measure: 0.9676, kb_relative_information_score: -3.6211, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.9994, scimark_benchmark: 903.2737, usercpu_time_millis: 1290, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3429, f_measure: 0.9676, kb_relative_information_score: 2.8678, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.001, scimark_benchmark: 945.0448, usercpu_time_millis: 420, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3352, f_measure: 0.9676, kb_relative_information_score: -0.4761, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0013, scimark_benchmark: 930.5033, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3467, f_measure: 0.9676, kb_relative_information_score: 8.3482, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 936.7184, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -240.9693, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9634, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1704, root_relative_squared_error: 1.1703, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -240.4828, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9634, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1704, root_relative_squared_error: 1.1703, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -247.2485, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9634, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1705, root_relative_squared_error: 1.1705, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 1351.3088, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 1353.5464, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 1350.2591, usercpu_time_millis: 800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9518, kappa: 0.2056, kb_relative_information_score: -646.0223, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9689, predictive_accuracy: 0.9381, prior_entropy: 0.1666, recall: 0.9381, relative_absolute_error: 1.5375, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.5702, scimark_benchmark: 1332.9478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 1317.6232, usercpu_time_millis: 170, usercpu_time_millis_training: 170,

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 (1)
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