Task
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1326.3935, usercpu_time_millis: 500, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8672, kappa: 0.8617, kb_relative_information_score: 16028.5346, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8677, predictive_accuracy: 0.867, prior_entropy: 4.6998, recall: 0.867, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.501, scimark_benchmark: 1350.4825, usercpu_time_millis: 307970, usercpu_time_millis_testing: 25320, usercpu_time_millis_training: 282650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.6038, kappa: 0.5982, kb_relative_information_score: 12168.2027, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6172, predictive_accuracy: 0.6137, prior_entropy: 4.6998, recall: 0.6137, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.8965, scimark_benchmark: 1308.6872, usercpu_time_millis: 45110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 45050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 1337.7902, usercpu_time_millis: 2330, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1299.6719, usercpu_time_millis: 610, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4915, kappa: 0.4885, kb_relative_information_score: 10011.2849, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5105, predictive_accuracy: 0.5082, prior_entropy: 4.6998, recall: 0.5082, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.8255, scimark_benchmark: 1342.2845, usercpu_time_millis: 49370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 49270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8814, kappa: 0.8765, kb_relative_information_score: 17681.4354, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8818, predictive_accuracy: 0.8813, prior_entropy: 4.6998, recall: 0.8813, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4684, scimark_benchmark: 1330.4755, usercpu_time_millis: 3090, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8301, kappa: 0.8231, kb_relative_information_score: 16555.3777, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8306, predictive_accuracy: 0.8299, prior_entropy: 4.6998, recall: 0.8299, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5948, scimark_benchmark: 1346.0226, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8672, kappa: 0.8617, kb_relative_information_score: 16028.5346, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8677, predictive_accuracy: 0.867, prior_entropy: 4.6998, recall: 0.867, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.501, scimark_benchmark: 1324.8408, usercpu_time_millis: 287900, usercpu_time_millis_testing: 24440, usercpu_time_millis_training: 263460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1317.5348, usercpu_time_millis: 550, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 1313.5633, usercpu_time_millis: 3180, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1313.5633, usercpu_time_millis: 1190, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1313.11, usercpu_time_millis: 590, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1326.2019, usercpu_time_millis: 590, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9653, kappa: 0.9639, kb_relative_information_score: 18463.9303, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 4.6998, recall: 0.9653, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.3238, scimark_benchmark: 1339.2472, usercpu_time_millis: 12390, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 10320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9748, kappa: 0.9738, kb_relative_information_score: 19489.6963, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 4.6998, recall: 0.9749, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2287, scimark_benchmark: 1331.2559, usercpu_time_millis: 155930, usercpu_time_millis_testing: 103960, usercpu_time_millis_training: 51970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9653, kappa: 0.9639, kb_relative_information_score: 18463.9303, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 4.6998, recall: 0.9653, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.3238, scimark_benchmark: 1331.7953, usercpu_time_millis: 13810, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 11660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 1366.7181, usercpu_time_millis: 2930, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1333.202, usercpu_time_millis: 560, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9653, kappa: 0.9639, kb_relative_information_score: 18463.9303, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 4.6998, recall: 0.9653, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.3238, scimark_benchmark: 1332.9478, usercpu_time_millis: 14160, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 11220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 1338.5214, usercpu_time_millis: 3400, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1347.6543, usercpu_time_millis: 710, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1303.5632, usercpu_time_millis: 530, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 1346.2927, usercpu_time_millis: 780, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7876, kappa: 0.7789, kb_relative_information_score: 16074.3624, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7886, predictive_accuracy: 0.7874, prior_entropy: 4.6998, recall: 0.7874, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5975, scimark_benchmark: 1309.4998, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7876, kappa: 0.7789, kb_relative_information_score: 16074.3624, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7886, predictive_accuracy: 0.7874, prior_entropy: 4.6998, recall: 0.7874, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5975, scimark_benchmark: 946.9304, usercpu_time_millis: 480, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9653, kappa: 0.9639, kb_relative_information_score: 18463.9303, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 4.6998, recall: 0.9653, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.3238, scimark_benchmark: 942.3809, usercpu_time_millis: 16210, usercpu_time_millis_testing: 2460, usercpu_time_millis_training: 13750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8672, kappa: 0.8617, kb_relative_information_score: 16028.5346, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8677, predictive_accuracy: 0.867, prior_entropy: 4.6998, recall: 0.867, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.501, scimark_benchmark: 949.7766, usercpu_time_millis: 173540, usercpu_time_millis_testing: 7170, usercpu_time_millis_training: 166370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 942.3809, usercpu_time_millis: 850, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 946.9304, usercpu_time_millis: 3540, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 938.838, usercpu_time_millis: 860, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 945.0194, usercpu_time_millis: 750, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 945.0194, usercpu_time_millis: 740, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7332, kb_relative_information_score: 15500.9604, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7594, predictive_accuracy: 0.7435, prior_entropy: 4.6998, recall: 0.7435, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 922.5036, usercpu_time_millis: 830, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9748, kappa: 0.9738, kb_relative_information_score: 19489.6963, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 4.6998, recall: 0.9749, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2287, scimark_benchmark: 928.8135, usercpu_time_millis: 116460, usercpu_time_millis_testing: 70250, usercpu_time_millis_training: 46210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 941.6675, usercpu_time_millis: 780, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9129, kappa: 0.9092, kb_relative_information_score: 18467.8478, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9142, predictive_accuracy: 0.9127, prior_entropy: 4.6998, recall: 0.9127, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3639, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9748, kappa: 0.9738, kb_relative_information_score: 19489.6963, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.975, predictive_accuracy: 0.9749, prior_entropy: 4.6998, recall: 0.9749, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2287, scimark_benchmark: 931.771, usercpu_time_millis: 126220, usercpu_time_millis_testing: 77140, usercpu_time_millis_training: 49080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4915, kappa: 0.4885, kb_relative_information_score: 10011.2849, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5105, predictive_accuracy: 0.5082, prior_entropy: 4.6998, recall: 0.5082, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.8255, scimark_benchmark: 851.2074, usercpu_time_millis: 49890, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 49800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7876, kappa: 0.7789, kb_relative_information_score: 16074.3624, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7886, predictive_accuracy: 0.7874, prior_entropy: 4.6998, recall: 0.7874, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5975, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7332, kb_relative_information_score: 15500.9604, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7594, predictive_accuracy: 0.7435, prior_entropy: 4.6998, recall: 0.7435, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 1230.3004, usercpu_time_millis: 810, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 13745.3719, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7233, scimark_benchmark: 1230.3004, usercpu_time_millis: 2000, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.5398, kappa: 0.5325, kb_relative_information_score: 11138.1539, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5551, predictive_accuracy: 0.5506, prior_entropy: 4.6998, recall: 0.5506, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.7973, scimark_benchmark: 1230.3004, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.6379, kappa: 0.6267, kb_relative_information_score: 13745.3719, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6562, predictive_accuracy: 0.6411, prior_entropy: 4.6998, recall: 0.6411, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7233, scimark_benchmark: 1230.3004, usercpu_time_millis: 2040, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 479.2609, usercpu_time_millis: 520, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 13773.7488, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6557, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.7248, scimark_benchmark: 473.1656, usercpu_time_millis: 9190, usercpu_time_millis_testing: 4390, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 17633.8537, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4727, scimark_benchmark: 473.1656, usercpu_time_millis: 6600, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 6210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.7726, kappa: 0.7645, kb_relative_information_score: 15608.6799, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7727, predictive_accuracy: 0.7736, prior_entropy: 4.6998, recall: 0.7736, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5861, scimark_benchmark: 1254.1389, usercpu_time_millis: 89920, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 89230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 473.1656, usercpu_time_millis: 118660, usercpu_time_millis_testing: 118650, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.7462, kappa: 0.7331, kb_relative_information_score: 15490.2949, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7587, predictive_accuracy: 0.7434, prior_entropy: 4.6998, recall: 0.7434, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.6177, scimark_benchmark: 1234.7504, usercpu_time_millis: 9690, usercpu_time_millis_testing: 9620, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8788, kappa: 0.8737, kb_relative_information_score: 14804.1859, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8793, predictive_accuracy: 0.8786, prior_entropy: 4.6998, recall: 0.8786, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.106, root_relative_squared_error: 0.5513, scimark_benchmark: 1240.415, usercpu_time_millis: 1810, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 1201.5821, usercpu_time_millis: 37290, usercpu_time_millis_testing: 37290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8256, kappa: 0.8185, kb_relative_information_score: 16601.6867, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8332, predictive_accuracy: 0.8255, prior_entropy: 4.6998, recall: 0.8255, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.562, scimark_benchmark: 478.7979, usercpu_time_millis: 711810, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 711020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.7983, kappa: 0.7887, kb_relative_information_score: 15627.7641, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8046, predictive_accuracy: 0.7968, prior_entropy: 4.6998, recall: 0.7968, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.5714, scimark_benchmark: 1250.8827, usercpu_time_millis: 919440, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 919000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0181, kappa: -0.0001, kb_relative_information_score: 541.7034, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0121, predictive_accuracy: 0.0388, prior_entropy: 4.6998, recall: 0.0388, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.414, usercpu_time_millis: 8.511, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 8.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 17527.3579, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.5039, usercpu_time_millis: 16.277, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 15.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9577, kappa: 0.9561, kb_relative_information_score: 19143.5669, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 4.6998, recall: 0.9578, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.057, root_relative_squared_error: 0.2965, usercpu_time_millis: 11.043, usercpu_time_millis_testing: 10.97, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.4199, kappa: 0.4026, kb_relative_information_score: 8366.6466, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.431, predictive_accuracy: 0.4257, prior_entropy: 4.6998, recall: 0.4257, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2102, root_relative_squared_error: 1.093, usercpu_time_millis: 132.525, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 131.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7024, kappa: 0.6892, kb_relative_information_score: 13944.7608, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.714, predictive_accuracy: 0.7012, prior_entropy: 4.6998, recall: 0.7012, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.7884, usercpu_time_millis: 2.415, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 2.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.81, kappa: 0.8021, kb_relative_information_score: 16145.7335, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.811, predictive_accuracy: 0.8098, prior_entropy: 4.6998, recall: 0.8098, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.121, root_relative_squared_error: 0.6291, usercpu_time_millis: 192.157, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 191.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.939, kappa: 0.9361, kb_relative_information_score: 18755.0462, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9406, predictive_accuracy: 0.9386, prior_entropy: 4.6998, recall: 0.9386, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.3574, usercpu_time_millis: 133.39, usercpu_time_millis_testing: 60.372, usercpu_time_millis_training: 73.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7151, kappa: 0.7046, kb_relative_information_score: 14241.9167, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7183, predictive_accuracy: 0.716, prior_entropy: 4.6998, recall: 0.716, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.7686, usercpu_time_millis: 28.944, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 28.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7133, kappa: 0.7033, kb_relative_information_score: 14216.4097, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.717, predictive_accuracy: 0.7148, prior_entropy: 4.6998, recall: 0.7148, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.7703, usercpu_time_millis: 73.111, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 73.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.3666, kappa: 0.349, kb_relative_information_score: 7328.2471, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.4161, predictive_accuracy: 0.3741, prior_entropy: 4.6998, recall: 0.3741, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.141, usercpu_time_millis: 280.639, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 279.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 12747.6832, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6558, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.8629, usercpu_time_millis: 19.135, usercpu_time_millis_testing: 17.773, usercpu_time_millis_training: 1.362,

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