OpenML
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 4215 Supervised Classification JapaneseVowels 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7755, kappa: 0.747, kb_relative_information_score: 75737.5422, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7745, predictive_accuracy: 0.7768, prior_entropy: 3.1321, recall: 0.7768, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.64, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7079, kappa: 0.6844, kb_relative_information_score: 63639.025, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7114, predictive_accuracy: 0.722, prior_entropy: 3.1321, recall: 0.722, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6713, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 904.6764, usercpu_time_millis: 43980, usercpu_time_millis_testing: 17510, usercpu_time_millis_training: 26470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 941.6675, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 941.6675, usercpu_time_millis: 270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 941.6675, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9221, kappa: 0.9123, kb_relative_information_score: 87416.5419, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9221, predictive_accuracy: 0.9226, prior_entropy: 3.1321, recall: 0.9226, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3864, scimark_benchmark: 941.6675, usercpu_time_millis: 1710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 927.2917, usercpu_time_millis: 32540, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 32080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 947.1781, usercpu_time_millis: 47840, usercpu_time_millis_testing: 19100, usercpu_time_millis_training: 28740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 947.1781, usercpu_time_millis: 6230, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 5790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7755, kappa: 0.747, kb_relative_information_score: 75737.5422, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7745, predictive_accuracy: 0.7768, prior_entropy: 3.1321, recall: 0.7768, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.64, scimark_benchmark: 942.2392, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7079, kappa: 0.6844, kb_relative_information_score: 63639.025, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7114, predictive_accuracy: 0.722, prior_entropy: 3.1321, recall: 0.722, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6713, scimark_benchmark: 936.2574, usercpu_time_millis: 7080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 937.5683, usercpu_time_millis: 31580, usercpu_time_millis_testing: 14700, usercpu_time_millis_training: 16880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 906.0979, usercpu_time_millis: 38300, usercpu_time_millis_testing: 16210, usercpu_time_millis_training: 22090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8555, kappa: 0.8366, kb_relative_information_score: 83975.6356, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8589, predictive_accuracy: 0.8559, prior_entropy: 3.1321, recall: 0.8559, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4872, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 903.2737, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 903.2737, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9221, kappa: 0.9123, kb_relative_information_score: 87416.5419, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9221, predictive_accuracy: 0.9226, prior_entropy: 3.1321, recall: 0.9226, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3864, scimark_benchmark: 930.404, usercpu_time_millis: 1340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 932.438, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.887, kappa: 0.8718, kb_relative_information_score: 83446.908, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8871, predictive_accuracy: 0.8868, prior_entropy: 3.1321, recall: 0.8868, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4575, scimark_benchmark: 932.438, usercpu_time_millis: 35360, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 34900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9759, kappa: 0.9728, kb_relative_information_score: 90344.2191, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 3.1321, recall: 0.976, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3011, scimark_benchmark: 938.988, usercpu_time_millis: 7720, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 7120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9883, kappa: 0.9868, kb_relative_information_score: 92426.1145, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 3.1321, recall: 0.9883, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.2464, scimark_benchmark: 851.2074, usercpu_time_millis: 243030, usercpu_time_millis_testing: 45250, usercpu_time_millis_training: 197780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9865, kb_relative_information_score: 92402.3444, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 3.1321, recall: 0.9881, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2488, scimark_benchmark: 945.6228, usercpu_time_millis: 77410, usercpu_time_millis_testing: 8570, usercpu_time_millis_training: 68840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9865, kappa: 0.9847, kb_relative_information_score: 92343.6507, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.1321, recall: 0.9865, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2534, scimark_benchmark: 939.3535, usercpu_time_millis: 37370, usercpu_time_millis_testing: 3640, usercpu_time_millis_training: 33730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9812, kb_relative_information_score: 92230.094, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 3.1321, recall: 0.9834, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.263, scimark_benchmark: 932.4744, usercpu_time_millis: 19150, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 17390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9773, kappa: 0.9744, kb_relative_information_score: 92002.0156, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9773, predictive_accuracy: 0.9774, prior_entropy: 3.1321, recall: 0.9774, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2804, scimark_benchmark: 894.7131, usercpu_time_millis: 10170, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 9220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8316, kappa: 0.8096, kb_relative_information_score: 80893.273, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8313, predictive_accuracy: 0.8319, prior_entropy: 3.1321, recall: 0.8319, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5228, scimark_benchmark: 936.1714, usercpu_time_millis: 1420, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 21251.3504, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9614, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9254, kappa: 0.9158, kb_relative_information_score: 91311.1536, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 3.1321, recall: 0.9257, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3511, scimark_benchmark: 1317.5857, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7079, kappa: 0.6844, kb_relative_information_score: 63639.025, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.7114, predictive_accuracy: 0.722, prior_entropy: 3.1321, recall: 0.722, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.6713, scimark_benchmark: 1319.4538, usercpu_time_millis: 10800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 1351.1238, usercpu_time_millis: 59360, usercpu_time_millis_testing: 43220, usercpu_time_millis_training: 16140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8555, kappa: 0.8366, kb_relative_information_score: 83975.6356, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.8589, predictive_accuracy: 0.8559, prior_entropy: 3.1321, recall: 0.8559, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4872, scimark_benchmark: 1333.0982, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9018, kappa: 0.8893, kb_relative_information_score: 89108.7751, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.1962, number_of_instances: 99610, precision: 0.902, predictive_accuracy: 0.9024, prior_entropy: 3.1321, recall: 0.9024, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4703, scimark_benchmark: 1364.991, usercpu_time_millis: 75810, usercpu_time_millis_testing: 55830, usercpu_time_millis_training: 19980,
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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