OpenML
Supervised Classification on fri_c3_1000_5

Supervised Classification on fri_c3_1000_5

Task 3678 Supervised Classification fri_c3_1000_5 403 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7393, kappa: 0.4683, kb_relative_information_score: 186.7863, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.741, prior_entropy: 0.9886, recall: 0.741, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8901, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 926.4745, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8568, kappa: 0.7087, kb_relative_information_score: 595.6216, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9886, recall: 0.857, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6519, scimark_benchmark: 933.5515, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 928.8135, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 946.8777, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8909, kappa: 0.7781, kb_relative_information_score: 680.987, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 0.9886, recall: 0.891, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5716, scimark_benchmark: 935.627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7619, kappa: 0.5161, kb_relative_information_score: 280.7009, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7619, predictive_accuracy: 0.762, prior_entropy: 0.9886, recall: 0.762, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8387, scimark_benchmark: 890.5596, usercpu_time_millis: 9530, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 9430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8798, kappa: 0.7555, kb_relative_information_score: 675.9499, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9886, recall: 0.88, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6418, scimark_benchmark: 946.6409, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8249, kb_relative_information_score: 734.2603, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9886, recall: 0.914, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5148, scimark_benchmark: 879.4299, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 1322.7279, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8798, kappa: 0.7555, kb_relative_information_score: 675.9499, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9886, recall: 0.88, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6418, scimark_benchmark: 1322.5413, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 1314.9949, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8909, kappa: 0.7781, kb_relative_information_score: 680.987, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 0.9886, recall: 0.891, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5716, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.896, kappa: 0.7886, kb_relative_information_score: 787.1281, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9886, recall: 0.896, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 1316.5668, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8249, kb_relative_information_score: 734.2603, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9886, recall: 0.914, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5148, scimark_benchmark: 1317.5857, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8568, kappa: 0.7087, kb_relative_information_score: 595.6216, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9886, recall: 0.857, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6519, scimark_benchmark: 1286.2211, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8321, kappa: 0.6577, kb_relative_information_score: 584.3107, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 0.9886, recall: 0.833, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6805, scimark_benchmark: 1335.6555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8909, kappa: 0.7781, kb_relative_information_score: 680.987, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 0.9886, recall: 0.891, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5716, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8855, kappa: 0.7668, kb_relative_information_score: 509.3501, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8863, predictive_accuracy: 0.886, prior_entropy: 0.9886, recall: 0.886, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6396, scimark_benchmark: 1329.4762, usercpu_time_millis: 410, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8568, kappa: 0.7087, kb_relative_information_score: 595.6216, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9886, recall: 0.857, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6519, scimark_benchmark: 1350.073, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8249, kb_relative_information_score: 734.2603, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9886, recall: 0.914, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5148, scimark_benchmark: 1311.9814, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8473, kappa: 0.6889, kb_relative_information_score: 626.5776, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9886, recall: 0.848, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6399, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8249, kb_relative_information_score: 734.2603, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.9886, recall: 0.914, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5148, scimark_benchmark: 1312.0581, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8978, kappa: 0.7919, kb_relative_information_score: 683.4931, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.898, predictive_accuracy: 0.898, prior_entropy: 0.9886, recall: 0.898, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5571, scimark_benchmark: 1301.2156, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8568, kappa: 0.7087, kb_relative_information_score: 595.6216, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9886, recall: 0.857, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6519, scimark_benchmark: 916.6405, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8885, kappa: 0.7728, kb_relative_information_score: 511.7506, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8894, predictive_accuracy: 0.889, prior_entropy: 0.9886, recall: 0.889, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6385, scimark_benchmark: 1311.9814, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8611, kappa: 0.7179, kb_relative_information_score: 476.3526, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8612, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8811, kappa: 0.7585, kb_relative_information_score: 727.5854, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8812, predictive_accuracy: 0.881, prior_entropy: 0.9886, recall: 0.881, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6648, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8568, kappa: 0.7087, kb_relative_information_score: 595.6216, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8568, predictive_accuracy: 0.857, prior_entropy: 0.9886, recall: 0.857, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6519, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8682, kappa: 0.7327, kb_relative_information_score: 644.9803, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9886, recall: 0.868, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6291, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8711, kappa: 0.7384, kb_relative_information_score: 649.1234, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 1371.9645,

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