OpenML
Supervised Classification on fri_c2_250_25

Supervised Classification on fri_c2_250_25

Task 4364 Supervised Classification fri_c2_250_25 236 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1322.1893, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 1310.6554, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7576, kappa: 0.5084, kb_relative_information_score: 1213.2681, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9911, recall: 0.758, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9248, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 1319.5773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 1280.9535, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1335.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1330.2425, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1324.6608, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 1339.2472, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 1320.0563, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1344.4042, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6582, kappa: 0.3065, kb_relative_information_score: 401.0139, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6579, predictive_accuracy: 0.6592, prior_entropy: 0.9911, recall: 0.6592, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9386, scimark_benchmark: 1327.5791, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6232, kappa: 0.236, kb_relative_information_score: 593.3773, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6229, predictive_accuracy: 0.6236, prior_entropy: 0.9911, recall: 0.6236, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.585, root_relative_squared_error: 1.1773, scimark_benchmark: 1341.2425, usercpu_time_millis: 3640, usercpu_time_millis_testing: 3640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8403, kappa: 0.6764, kb_relative_information_score: 1330.5483, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6759, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1315.933, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8403, kappa: 0.6764, kb_relative_information_score: 1330.5483, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6759, scimark_benchmark: 1349.7981, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.816, kappa: 0.6263, kb_relative_information_score: 938.1394, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8203, predictive_accuracy: 0.818, prior_entropy: 0.9911, recall: 0.818, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7463, scimark_benchmark: 1345.7582, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8138, kappa: 0.6226, kb_relative_information_score: 1501.343, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8137, predictive_accuracy: 0.814, prior_entropy: 0.9911, recall: 0.814, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8448, scimark_benchmark: 1333.1945, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 942.6843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1386.5717, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 1326.6565, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.815, kappa: 0.6241, kb_relative_information_score: 948.329, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8168, prior_entropy: 0.9911, recall: 0.8168, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7413, scimark_benchmark: 934.1747, usercpu_time_millis: 450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8206, kappa: 0.6356, kb_relative_information_score: 941.066, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8244, predictive_accuracy: 0.8224, prior_entropy: 0.9911, recall: 0.8224, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7426, scimark_benchmark: 1361.2664, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8494, kappa: 0.6946, kb_relative_information_score: 1704.3641, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8494, predictive_accuracy: 0.8496, prior_entropy: 0.9911, recall: 0.8496, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6953, scimark_benchmark: 1321.7236, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8365, kappa: 0.6684, kb_relative_information_score: 1435.789, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8365, predictive_accuracy: 0.8368, prior_entropy: 0.9911, recall: 0.8368, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6802, scimark_benchmark: 1321.8733, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 1331.1784, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.738, kappa: 0.4706, kb_relative_information_score: 717.0936, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7389, predictive_accuracy: 0.7376, prior_entropy: 0.9911, recall: 0.7376, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9434, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6862, kappa: 0.364, kb_relative_information_score: 903.3431, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.686, predictive_accuracy: 0.6864, prior_entropy: 0.9911, recall: 0.6864, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1271, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3973, kb_relative_information_score: -0.3305, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8403, kappa: 0.6764, kb_relative_information_score: 1330.5483, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6759, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6708, kappa: 0.3325, kb_relative_information_score: 568.4563, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6705, predictive_accuracy: 0.6712, prior_entropy: 0.9911, recall: 0.6712, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0415, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8178, kappa: 0.6299, kb_relative_information_score: 934.1192, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8215, predictive_accuracy: 0.8196, prior_entropy: 0.9911, recall: 0.8196, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7502, scimark_benchmark: 1330.0694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8113, kappa: 0.6166, kb_relative_information_score: 926.8246, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8138, predictive_accuracy: 0.8128, prior_entropy: 0.9911, recall: 0.8128, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7587, scimark_benchmark: 860.584, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8271, kappa: 0.6488, kb_relative_information_score: 1287.7151, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8283, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6807, scimark_benchmark: 895.5332, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8221, kappa: 0.6386, kb_relative_information_score: 1284.8646, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8237, predictive_accuracy: 0.8232, prior_entropy: 0.9911, recall: 0.8232, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6859, scimark_benchmark: 889.3151, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.8077, kappa: 0.6107, kb_relative_information_score: 1421.8913, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8078, predictive_accuracy: 0.8076, prior_entropy: 0.9911, recall: 0.8076, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7813, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8643, kappa: 0.7251, kb_relative_information_score: 1746.4285, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8643, predictive_accuracy: 0.8644, prior_entropy: 0.9911, recall: 0.8644, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6738, scimark_benchmark: 908.2231, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8539, kappa: 0.7037, kb_relative_information_score: 1683.8087, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9911, recall: 0.854, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6634, scimark_benchmark: 1337.7959, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8547, kappa: 0.7055, kb_relative_information_score: 1604.8008, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8547, predictive_accuracy: 0.8548, prior_entropy: 0.9911, recall: 0.8548, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6515, scimark_benchmark: 916.6405, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8391, kappa: 0.6734, kb_relative_information_score: 1425.6385, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8395, predictive_accuracy: 0.8396, prior_entropy: 0.9911, recall: 0.8396, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8239, kappa: 0.6431, kb_relative_information_score: 1200.7079, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9911, recall: 0.824, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.728, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.6002, kappa: 0.1882, kb_relative_information_score: 306.4889, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.5996, predictive_accuracy: 0.602, prior_entropy: 0.9911, recall: 0.602, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5268, root_relative_squared_error: 1.0603, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs