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OpenML
Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 11359 runs submitted
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Visibility: Public
  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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11359 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9899, kappa: 0.9886, kb_relative_information_score: 9810.1012, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 3.1321, recall: 0.99, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1545, scimark_benchmark: 889.3151, usercpu_time_millis: 11560, usercpu_time_millis_testing: 11550, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.869, kappa: 0.8553, kb_relative_information_score: 2927.6154, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8732, predictive_accuracy: 0.8727, prior_entropy: 3.1321, recall: 0.8727, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9054, scimark_benchmark: 939.5088, usercpu_time_millis: 281650, usercpu_time_millis_testing: 97130, usercpu_time_millis_training: 184520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9477, kappa: 0.9408, kb_relative_information_score: 3016.0981, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 3.1321, recall: 0.9477, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.9002, scimark_benchmark: 887.6719, usercpu_time_millis: 1060, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9411, kappa: 0.9334, kb_relative_information_score: 9257.0397, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 3.1321, recall: 0.9412, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.3173, scimark_benchmark: 942.9518, usercpu_time_millis: 18630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9009, kappa: 0.8901, kb_relative_information_score: 8919.671, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9042, predictive_accuracy: 0.903, prior_entropy: 3.1321, recall: 0.903, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4687, scimark_benchmark: 916.5955, usercpu_time_millis: 8740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8556, kappa: 0.8369, kb_relative_information_score: 8394.2964, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8588, predictive_accuracy: 0.8561, prior_entropy: 3.1321, recall: 0.8561, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4875, scimark_benchmark: 1363.434, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8881, kappa: 0.8733, kb_relative_information_score: 8380.4164, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8883, predictive_accuracy: 0.8882, prior_entropy: 3.1321, recall: 0.8882, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4509, scimark_benchmark: 1341.5768, usercpu_time_millis: 44960, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 43550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.976, kappa: 0.9729, kb_relative_information_score: 9032.7373, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9761, predictive_accuracy: 0.9761, prior_entropy: 3.1321, recall: 0.9761, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3018, scimark_benchmark: 1315.0767, usercpu_time_millis: 7090, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.873, kappa: 0.8561, kb_relative_information_score: 8601.489, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8731, predictive_accuracy: 0.873, prior_entropy: 3.1321, recall: 0.873, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5364, scimark_benchmark: 1316.0472, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8608, kappa: 0.8424, kb_relative_information_score: 8340.8883, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 3.1321, recall: 0.8609, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.513, scimark_benchmark: 1319.6463, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.875, kappa: 0.8589, kb_relative_information_score: 8535.0197, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8747, predictive_accuracy: 0.8755, prior_entropy: 3.1321, recall: 0.8755, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5083, scimark_benchmark: 1306.6379, usercpu_time_millis: 4310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8915, kappa: 0.8807, kb_relative_information_score: 8820.8758, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8947, predictive_accuracy: 0.8948, prior_entropy: 3.1321, recall: 0.8948, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4882, scimark_benchmark: 1318.1432, usercpu_time_millis: 12310, usercpu_time_millis_testing: 7100, usercpu_time_millis_training: 5210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0243, kappa: -0.0004, kb_relative_information_score: 596.7357, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2198, predictive_accuracy: 0.1098, prior_entropy: 3.1321, recall: 0.1098, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4448, root_relative_squared_error: 1.4201, scimark_benchmark: 1335.643, usercpu_time_millis: 18800, usercpu_time_millis_testing: 3430, usercpu_time_millis_training: 15370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9091, kappa: 0.8969, kb_relative_information_score: 8956.1615, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9092, predictive_accuracy: 0.9089, prior_entropy: 3.1321, recall: 0.9089, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4464, scimark_benchmark: 1466.6185, usercpu_time_millis: 2960, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.2657, kappa: 0.1722, kb_relative_information_score: 2238.0599, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2654, predictive_accuracy: 0.2715, prior_entropy: 3.1321, recall: 0.2715, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.2847, scimark_benchmark: 1466.6185, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9648, kappa: 0.9602, kb_relative_information_score: 9586.2994, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.1321, recall: 0.9649, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.2646, scimark_benchmark: 942.3168, usercpu_time_millis: 534310, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 533760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8708, kappa: 0.8547, kb_relative_information_score: 8581.217, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8705, predictive_accuracy: 0.8718, prior_entropy: 3.1321, recall: 0.8718, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5389, scimark_benchmark: 1336.9753, usercpu_time_millis: 160760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.0452, kb_relative_information_score: 0.596, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0263, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8918, kappa: 0.8775, kb_relative_information_score: 8801.1863, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8918, predictive_accuracy: 0.8919, prior_entropy: 3.1321, recall: 0.8919, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4753, scimark_benchmark: 1503.3362, usercpu_time_millis: 520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.865, kappa: 0.8473, kb_relative_information_score: 8519.9733, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8676, predictive_accuracy: 0.8653, prior_entropy: 3.1321, recall: 0.8653, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5367, scimark_benchmark: 929.566, usercpu_time_millis: 7370, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8775, kappa: 0.8619, kb_relative_information_score: 8636.9212, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 3.1321, recall: 0.8781, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.4816, scimark_benchmark: 908.0036, usercpu_time_millis: 10130, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 6940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 934.5243, usercpu_time_millis: 6890, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 911.0478, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 941.7954, usercpu_time_millis: 6830, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 940.2922, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 936.7115, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 939.7623, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9606, kappa: 0.9554, kb_relative_information_score: 9515.8608, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 3.1321, recall: 0.9606, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2609, scimark_benchmark: 943.2817, usercpu_time_millis: 50980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50960,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, build_cpu_time: 61.7584, build_memory: 476742429.4669, f_measure: 0.783, kappa: 0.7614, kb_relative_information_score: 5450.2479, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7824, predictive_accuracy: 0.7898, prior_entropy: 3.1321, recall: 0.7898, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6932, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, build_cpu_time: 64.5621, build_memory: 666643383.3792, f_measure: 0.7875, kappa: 0.7661, kb_relative_information_score: 5518.6833, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.7868, predictive_accuracy: 0.7939, prior_entropy: 3.1321, recall: 0.7939, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6873, scimark_benchmark: 874.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 74.2956, build_memory: 735174740.0518, f_measure: 0.9644, kappa: 0.9594, kb_relative_information_score: 9600.336, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9648, predictive_accuracy: 0.9642, prior_entropy: 3.1321, recall: 0.9642, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.2664, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 10.0133, build_memory: 1127835738.1837, f_measure: 0.9694, kappa: 0.9654, kb_relative_information_score: 9653.7249, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9694, predictive_accuracy: 0.9695, prior_entropy: 3.1321, recall: 0.9695, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2461, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 17.8912, build_memory: 91455302.764, f_measure: 0.9794, kappa: 0.9767, kb_relative_information_score: 9747.6241, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.1321, recall: 0.9794, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2075, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 37.1209, build_memory: 876477029.7657, f_measure: 0.9855, kappa: 0.9836, kb_relative_information_score: 9808.4732, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 3.1321, recall: 0.9855, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1768, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 77.343, build_memory: 170140042.7965, f_measure: 0.9878, kappa: 0.9862, kb_relative_information_score: 9829.4142, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 3.1321, recall: 0.9879, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1649, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 147.2432, build_memory: 722456721.9869, f_measure: 0.9887, kappa: 0.9873, kb_relative_information_score: 9838.4095, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 3.1321, recall: 0.9888, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1589, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 6.862, build_memory: 294943250.8969, f_measure: 0.9956, kappa: 0.995, kb_relative_information_score: 9909.5564, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 3.1321, recall: 0.9956, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.1, scimark_benchmark: 925.481,

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