OpenML
Supervised Classification on chscase_vine2

Supervised Classification on chscase_vine2

Task 4384 Supervised Classification chscase_vine2 230 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8479, kappa: 0.6941, kb_relative_information_score: 2802.2954, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8493, predictive_accuracy: 0.8477, prior_entropy: 0.9937, recall: 0.8477, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6535, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7935, kappa: 0.5823, kb_relative_information_score: 1863.3068, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7957, predictive_accuracy: 0.7949, prior_entropy: 0.9937, recall: 0.7949, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7849, scimark_benchmark: 1351.3088, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8626, kappa: 0.7227, kb_relative_information_score: 3226.0991, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9937, recall: 0.8626, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.636, scimark_benchmark: 1354.5533, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.791, kappa: 0.5772, kb_relative_information_score: 1911.4013, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7936, predictive_accuracy: 0.7925, prior_entropy: 0.9937, recall: 0.7925, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8013, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7921, kappa: 0.5831, kb_relative_information_score: 1887.9671, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7957, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7514, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8455, kappa: 0.6889, kb_relative_information_score: 3102.1203, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8463, predictive_accuracy: 0.8453, prior_entropy: 0.9937, recall: 0.8453, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.776, scimark_benchmark: 1346.0226, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8146, kappa: 0.6263, kb_relative_information_score: 2239.0363, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8149, predictive_accuracy: 0.8145, prior_entropy: 0.9937, recall: 0.8145, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7365, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7901, kappa: 0.5755, kb_relative_information_score: 1852.1509, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7928, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7887, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1366.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1296.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8626, kappa: 0.7227, kb_relative_information_score: 3226.0991, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9937, recall: 0.8626, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.636, scimark_benchmark: 1292.514, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.791, kappa: 0.5772, kb_relative_information_score: 1911.4013, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7936, predictive_accuracy: 0.7925, prior_entropy: 0.9937, recall: 0.7925, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8013, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8146, kappa: 0.6263, kb_relative_information_score: 2239.0363, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8149, predictive_accuracy: 0.8145, prior_entropy: 0.9937, recall: 0.8145, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7365, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8626, kappa: 0.7227, kb_relative_information_score: 3226.0991, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9937, recall: 0.8626, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.636, scimark_benchmark: 1404.0159, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.773, kappa: 0.5409, kb_relative_information_score: 2544.8426, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7757, predictive_accuracy: 0.7748, prior_entropy: 0.9937, recall: 0.7748, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9534, scimark_benchmark: 1319.2526, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7901, kappa: 0.5755, kb_relative_information_score: 1852.1509, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7928, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7887, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8626, kappa: 0.7227, kb_relative_information_score: 3226.0991, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9937, recall: 0.8626, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.636, scimark_benchmark: 1347.993, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7935, kappa: 0.5823, kb_relative_information_score: 1863.3068, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7957, predictive_accuracy: 0.7949, prior_entropy: 0.9937, recall: 0.7949, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7849, scimark_benchmark: 1344.4042, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.791, kappa: 0.5772, kb_relative_information_score: 1911.4013, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7936, predictive_accuracy: 0.7925, prior_entropy: 0.9937, recall: 0.7925, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8013, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7921, kappa: 0.5831, kb_relative_information_score: 1887.9671, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7957, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7514, scimark_benchmark: 1350.907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7901, kappa: 0.5755, kb_relative_information_score: 1852.1509, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7928, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7887, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 1963.2721, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7942, predictive_accuracy: 0.7929, prior_entropy: 0.9937, recall: 0.7929, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7875, scimark_benchmark: 933.1165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.5889, kappa: 0.2378, kb_relative_information_score: 637.6375, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.726, predictive_accuracy: 0.6451, prior_entropy: 0.9937, recall: 0.6451, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9432, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7834, kappa: 0.5636, kb_relative_information_score: 779.1007, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7974, predictive_accuracy: 0.788, prior_entropy: 0.9937, recall: 0.788, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8904, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8146, kappa: 0.6263, kb_relative_information_score: 2239.0363, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8149, predictive_accuracy: 0.8145, prior_entropy: 0.9937, recall: 0.8145, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7365, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8146, kappa: 0.6263, kb_relative_information_score: 2239.0363, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8149, predictive_accuracy: 0.8145, prior_entropy: 0.9937, recall: 0.8145, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7365, scimark_benchmark: 1326.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7921, kappa: 0.5831, kb_relative_information_score: 1887.9671, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7957, predictive_accuracy: 0.7917, prior_entropy: 0.9937, recall: 0.7917, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7514, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7823, kappa: 0.5598, kb_relative_information_score: 1034.9717, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7864, predictive_accuracy: 0.7844, prior_entropy: 0.9937, recall: 0.7844, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8556, scimark_benchmark: 1341.7207, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.834, kappa: 0.6648, kb_relative_information_score: 2391.102, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.834, predictive_accuracy: 0.8342, prior_entropy: 0.9937, recall: 0.8342, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7137, scimark_benchmark: 1263.2205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.6, kappa: 0.2652, kb_relative_information_score: 116.9312, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7723, predictive_accuracy: 0.6588, prior_entropy: 0.9937, recall: 0.6588, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9825, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3868, kb_relative_information_score: -0.3414, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9937, recall: 0.547, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4978, root_relative_squared_error: 1, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7817, kappa: 0.5589, kb_relative_information_score: 997.3219, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7876, predictive_accuracy: 0.7844, prior_entropy: 0.9937, recall: 0.7844, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8595, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.778, kappa: 0.5511, kb_relative_information_score: 1048.3527, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7818, predictive_accuracy: 0.7801, prior_entropy: 0.9937, recall: 0.7801, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8568, scimark_benchmark: 860.584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8052, kappa: 0.606, kb_relative_information_score: 2200.2734, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8079, predictive_accuracy: 0.8066, prior_entropy: 0.9937, recall: 0.8066, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7323, scimark_benchmark: 1369.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8486, kappa: 0.6955, kb_relative_information_score: 2816.0336, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8502, predictive_accuracy: 0.8483, prior_entropy: 0.9937, recall: 0.8483, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6413, scimark_benchmark: 895.5332, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8466, kappa: 0.6915, kb_relative_information_score: 2813.4389, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.848, predictive_accuracy: 0.8464, prior_entropy: 0.9937, recall: 0.8464, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.645, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8559, kappa: 0.7104, kb_relative_information_score: 3040.4884, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8581, predictive_accuracy: 0.8556, prior_entropy: 0.9937, recall: 0.8556, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6912, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8143, kappa: 0.6246, kb_relative_information_score: 2251.9286, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8155, predictive_accuracy: 0.8152, prior_entropy: 0.9937, recall: 0.8152, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.734, scimark_benchmark: 1501.4698, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7979, kappa: 0.5914, kb_relative_information_score: 2106.3169, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8004, predictive_accuracy: 0.7994, prior_entropy: 0.9937, recall: 0.7994, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7513, scimark_benchmark: 915.9693, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7987, kappa: 0.593, kb_relative_information_score: 1967.1719, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7992, predictive_accuracy: 0.7994, prior_entropy: 0.9937, recall: 0.7994, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7675, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7928, kappa: 0.5812, kb_relative_information_score: 1853.9893, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7935, predictive_accuracy: 0.7936, prior_entropy: 0.9937, recall: 0.7936, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7789, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7842, kappa: 0.5637, kb_relative_information_score: 1597.5038, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.7849, predictive_accuracy: 0.785, prior_entropy: 0.9937, recall: 0.785, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8056, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8514, kappa: 0.7004, kb_relative_information_score: 3153.5448, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8516, predictive_accuracy: 0.8513, prior_entropy: 0.9937, recall: 0.8513, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6086, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8726, kappa: 0.7429, kb_relative_information_score: 3306.2629, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4956, number_of_instances: 4680, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9937, recall: 0.8727, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6037, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs