OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2068 Supervised Classification solar-flare 1232 runs submitted
0 likes downloaded by 1 people , 2 total downloads 0 issues
Visibility: Public
  • at2 study_1 study_41 study_70 under100k under1m
Issue #Downvotes for this reason By


Metric:

1232 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -2313.5654, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1796, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.993, kb_relative_information_score: -887.9776, mean_absolute_error: 0.0061, 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: 0.8134, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0087, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -2313.5654, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1796, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -2313.5654, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1796, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1474.8099, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1486.2724, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1519.2126, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1556.0613, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1515.3095,
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: 1648.9824, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -95775.7185, mean_absolute_error: 0.2239, 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: 30.0158, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2752, root_relative_squared_error: 4.93, scimark_benchmark: 1440.1008, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1531.837,
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, scimark_benchmark: 1653.0156,
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, scimark_benchmark: 1636.9925, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 0.2494, 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: 1703.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -95807.6813, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 30.0717, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.276, root_relative_squared_error: 4.9435, scimark_benchmark: 1487.83, 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: 1379.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1533.4403, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1499.5525, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -95807.6813, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 30.0717, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.276, root_relative_squared_error: 4.9435, scimark_benchmark: 1478.582, usercpu_time_millis: 80, usercpu_time_millis_testing: 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: 1430.2925, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 1498.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1488.5403, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.993, kb_relative_information_score: -3043.0885, 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: 0.7912, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2202.5533, mean_absolute_error: 0.007, 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: 0.9358, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2229.5872, mean_absolute_error: 0.0067, 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: 0.8984, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0637, root_relative_squared_error: 1.1411,
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: 1535.7441,
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: 1506.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.993, kb_relative_information_score: -3132.7745, mean_absolute_error: 0.0061, 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: 0.8173, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.993, kb_relative_information_score: -2778.5795, mean_absolute_error: 0.0061, 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: 0.8233, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0585, root_relative_squared_error: 1.0484, scimark_benchmark: 1578.5384, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 1395.4181,
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: 1625.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1584.8022, 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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 1444.8875, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1811.2511, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 1.2365, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.993, kb_relative_information_score: -960.2007, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.993, kb_relative_information_score: -8.69, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.993, kb_relative_information_score: -22808.066, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.92, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.993, kb_relative_information_score: -806.5373, mean_absolute_error: 0.0045, 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: 0.6078, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.993, kb_relative_information_score: -962.5046, 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: 0.6993, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -6514.7362, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 1.4153, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0587, root_relative_squared_error: 1.0513,
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: 0.6276, f_measure: 0.993, kb_relative_information_score: -935.9282, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.993, kb_relative_information_score: -26329.3306, mean_absolute_error: 0.016, 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: 2.1464, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0074,
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: 0.5, 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: 0.5, 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: 0.4452, f_measure: 0.993, kb_relative_information_score: -961.644, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, 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: 0.4327, 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: 1629.3917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 0.7901, f_measure: 0.993, kb_relative_information_score: -1596.8464, mean_absolute_error: 0.0054, 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: 0.724, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.993, kb_relative_information_score: -1186.9365, mean_absolute_error: 0.0054, 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: 0.7185, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0327,
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,
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: 0.5, 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: 0.2494, 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: 0.4995, f_measure: 0.9925, kappa: -0.0009, 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: 0.5, 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: 0.2494, 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: 0.2494, 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: 0.2494, 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: 0.2494, 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: 0.7929, f_measure: 0.993, kb_relative_information_score: -1186.9365, mean_absolute_error: 0.0054, 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: 0.7185, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.993, kb_relative_information_score: -1596.8464, mean_absolute_error: 0.0054, 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: 0.724, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.009,
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,
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: 0.8997, f_measure: 0.993, kb_relative_information_score: -2117.4562, mean_absolute_error: 0.0049, 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: 0.6531, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.9902,
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: 0.9765, f_measure: 0.993, kb_relative_information_score: -13357.6502, mean_absolute_error: 0.0108, 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: 1.4456, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.9966,
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: 0.969, f_measure: 0.993, kb_relative_information_score: -23458.0989, mean_absolute_error: 0.0146, 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: 1.9508, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0091,
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: 0.5, 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: 0.8213, 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,
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,
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,
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: 0.8149, f_measure: 0.992, kappa: 0.1078, kb_relative_information_score: -827.5438, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -618.304, mean_absolute_error: 0.006, 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: 0.8027, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0733, root_relative_squared_error: 1.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -729.8429, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9932, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0644, root_relative_squared_error: 1.153,
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: 0.8483, f_measure: 0.993, kb_relative_information_score: -3132.7745, mean_absolute_error: 0.0061, 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: 0.8173, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.993, kb_relative_information_score: -2778.5795, mean_absolute_error: 0.0061, 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: 0.8233, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0585, root_relative_squared_error: 1.0484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2202.5533, mean_absolute_error: 0.007, 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: 0.9358, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.993, kb_relative_information_score: -3043.0885, 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: 0.7912, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -95775.7185, mean_absolute_error: 0.2239, 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: 30.0158, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2752, root_relative_squared_error: 4.93,
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: 0.922, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -630.5576, mean_absolute_error: 0.0063, 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: 0.8468, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0733, root_relative_squared_error: 1.3122,
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: 0.8726, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2229.5872, mean_absolute_error: 0.0067, 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: 0.8984, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0637, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1398.0488, mean_absolute_error: 0.0055, 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: 0.7439, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0601, root_relative_squared_error: 1.077,

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