Task
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: 0.3264, f_measure: 0.9676, kb_relative_information_score: -103.6722, 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: 0.9363, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1466, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -424.5847, mean_absolute_error: 0.0425, 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: 0.9401, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1689, root_relative_squared_error: 1.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9535, kappa: -0.025, kb_relative_information_score: -223.9273, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9565, predictive_accuracy: 0.9505, prior_entropy: 0.1666, recall: 0.9505, relative_absolute_error: 1.0954, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.5282,
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: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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: 1862.8608,
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: 1388.7667, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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: 1623.5375, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -31.9885, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1645, root_relative_squared_error: 1.1294, scimark_benchmark: 1918.4916, usercpu_time_millis: 1968.75, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.9558, kappa: 0.0869, kb_relative_information_score: -217.2469, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9615, predictive_accuracy: 0.9505, prior_entropy: 0.1666, recall: 0.9505, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1793, root_relative_squared_error: 1.2308, scimark_benchmark: 1931.8468, usercpu_time_millis: 1515.625, usercpu_time_millis_training: 1515.625,
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: 1854.0453, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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: 1742.8208,
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: 1377.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -235.7613, mean_absolute_error: 0.04, 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: 0.8841, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1855, root_relative_squared_error: 1.2735, scimark_benchmark: 1321.932, usercpu_time_millis: 2320, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -63.2976, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1615, root_relative_squared_error: 1.1086, scimark_benchmark: 1416.417, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
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: 1444.0145,
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: 1295.4041, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -94.768, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1927, root_relative_squared_error: 1.3235, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.9575, kappa: 0.0946, kb_relative_information_score: -240.6981, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9617, predictive_accuracy: 0.9536, prior_entropy: 0.1666, recall: 0.9536, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1769, root_relative_squared_error: 1.2147, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.9541, kappa: 0.0801, kb_relative_information_score: -344.3346, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9613, predictive_accuracy: 0.9474, prior_entropy: 0.1666, recall: 0.9474, relative_absolute_error: 1.1713, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2153, root_relative_squared_error: 1.4782, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -191.8962, mean_absolute_error: 0.0412, 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: 0.9118, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3052, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -201.9644, mean_absolute_error: 0.0367, 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: 0.8121, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1526, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4602, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -14.9719, mean_absolute_error: 0.0423, 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: 0.9343, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.156, root_relative_squared_error: 1.0713, scimark_benchmark: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -293.8077, mean_absolute_error: 0.0383, 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: 0.8461, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1584, root_relative_squared_error: 1.0874, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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: 1744.8652,
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: 1744.8652,
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: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -94.768, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1927, root_relative_squared_error: 1.3235, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.9575, kappa: 0.0946, kb_relative_information_score: -244.784, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9617, predictive_accuracy: 0.9536, prior_entropy: 0.1666, recall: 0.9536, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1776, root_relative_squared_error: 1.2195, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.9541, kappa: 0.0801, kb_relative_information_score: -344.3346, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9613, predictive_accuracy: 0.9474, prior_entropy: 0.1666, recall: 0.9474, relative_absolute_error: 1.1713, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2153, root_relative_squared_error: 1.4782, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -191.8962, mean_absolute_error: 0.0412, 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: 0.9118, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3052, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -201.9644, mean_absolute_error: 0.0367, 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: 0.8121, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1526, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4028, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -16.8528, mean_absolute_error: 0.0429, 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: 0.9489, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1561, root_relative_squared_error: 1.0719, scimark_benchmark: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -327.7468, mean_absolute_error: 0.0388, 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: 0.8573, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1587, root_relative_squared_error: 1.0894, scimark_benchmark: 1744.8652,
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: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.9647, kappa: 0.1366, kb_relative_information_score: -201.9644, mean_absolute_error: 0.0367, 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: 0.8121, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.1526, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.9676, kb_relative_information_score: -375.4692, mean_absolute_error: 0.0388, 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: 0.8578, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1621, root_relative_squared_error: 1.113, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9676, kb_relative_information_score: -400.1197, mean_absolute_error: 0.0359, 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: 0.7949, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1489, root_relative_squared_error: 1.0223, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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: 1779.392,
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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: 1732.2066,
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: 1850.8887,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.9704, kappa: 0.1895, kb_relative_information_score: -432.927, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9672, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1522, root_relative_squared_error: 1.0453, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -191.8962, mean_absolute_error: 0.0412, 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: 0.9118, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3052, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.9582, kappa: -0.0204, kb_relative_information_score: -508.2933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9598, prior_entropy: 0.1666, recall: 0.9598, relative_absolute_error: 1.1791, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1766, root_relative_squared_error: 1.2129, scimark_benchmark: 1851.1033,
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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