Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23214 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_98 study_99 under100k under1m
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23214 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9549, kappa: 0.9499, kb_relative_information_score: 10397.9502, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 3.3208, recall: 0.9549, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3002, scimark_benchmark: 1988.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.913, kappa: 0.9046, kb_relative_information_score: 3225.9505, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9168, predictive_accuracy: 0.9141, prior_entropy: 3.3208, recall: 0.9141, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9102, scimark_benchmark: 1998.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9763, kb_relative_information_score: 10550.8711, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 3.3208, recall: 0.9787, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2172, scimark_benchmark: 1984.8087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 2018.2967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 10585.2524, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3208, recall: 0.9658, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.268, scimark_benchmark: 2011.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9799, kappa: 0.9777, kb_relative_information_score: 3287.8104, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 3.3208, recall: 0.9799, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9066, scimark_benchmark: 2017.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9881, kappa: 0.9868, kb_relative_information_score: 10654.9036, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 3.3208, recall: 0.9881, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1881, scimark_benchmark: 2022.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 2019.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 943.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.7991, kappa: 0.7831, kb_relative_information_score: 8758.3013, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8078, predictive_accuracy: 0.8049, prior_entropy: 3.3208, recall: 0.8049, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6529, scimark_benchmark: 945.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 9388.8661, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336, scimark_benchmark: 946.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.3566, kappa: 0.3211, kb_relative_information_score: 3959.6087, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3661, predictive_accuracy: 0.39, prior_entropy: 3.3208, recall: 0.39, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3493, root_relative_squared_error: 1.1644, scimark_benchmark: 943.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9042, kappa: 0.8946, kb_relative_information_score: 9970.6899, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9058, predictive_accuracy: 0.9051, prior_entropy: 3.3208, recall: 0.9051, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4283, scimark_benchmark: 946.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 947.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9233, kappa: 0.9149, kb_relative_information_score: 9738.3352, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9235, predictive_accuracy: 0.9234, prior_entropy: 3.3208, recall: 0.9234, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3791, scimark_benchmark: 947.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9358, kappa: 0.9286, kb_relative_information_score: 808.4828, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 3.3208, recall: 0.9358, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9795, scimark_benchmark: 936.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9649, kappa: 0.961, kb_relative_information_score: 10548.673, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.3208, recall: 0.9649, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2734, scimark_benchmark: 945.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 9388.8661, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336, scimark_benchmark: 882.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9425, kappa: 0.936, kb_relative_information_score: 10250.4081, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9426, predictive_accuracy: 0.9424, prior_entropy: 3.3208, recall: 0.9424, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.3294, scimark_benchmark: 938.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9911, kappa: 0.9901, kb_relative_information_score: 10727.4236, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.3208, recall: 0.9911, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1663, scimark_benchmark: 945.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9901, kappa: 0.989, kb_relative_information_score: 3297.3504, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 3.3208, recall: 0.9901, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9069, scimark_benchmark: 905.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.5936, kappa: 0.6071, kb_relative_information_score: 4865.64, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7274, predictive_accuracy: 0.6468, prior_entropy: 3.3208, recall: 0.6468, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.251, root_relative_squared_error: 0.8369, scimark_benchmark: 948.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.985, kappa: 0.9833, kb_relative_information_score: 3293.697, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 3.3208, recall: 0.985, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9069, scimark_benchmark: 946.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 3300.3575, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3208, recall: 0.9955, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9076, scimark_benchmark: 949.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 10564.9416, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 3.3208, recall: 0.9818, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.2036, scimark_benchmark: 947.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 10893.2109, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1213, scimark_benchmark: 945.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9936, kappa: 0.9929, kb_relative_information_score: 10929.7785, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 3.3208, recall: 0.9936, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1047, scimark_benchmark: 946.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 3300.6745, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3208, recall: 0.9955, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9051, scimark_benchmark: 949.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9937, kappa: 0.993, kb_relative_information_score: 3298.4709, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 3.3208, recall: 0.9937, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9049, scimark_benchmark: 922.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 945.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 10584.4843, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3208, recall: 0.98, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2109, scimark_benchmark: 945.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3562, kappa: 0.3207, kb_relative_information_score: 3956.3303, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3656, predictive_accuracy: 0.3897, prior_entropy: 3.3208, recall: 0.3897, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.1646, scimark_benchmark: 941.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9364, kappa: 0.9293, kb_relative_information_score: 10168.5109, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9366, predictive_accuracy: 0.9364, prior_entropy: 3.3208, recall: 0.9364, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3435, scimark_benchmark: 945.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 3299.0553, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.3208, recall: 0.9935, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.905, scimark_benchmark: 946.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9943, kappa: 0.9936, kb_relative_information_score: 3300.2891, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 3.3208, recall: 0.9943, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.907, scimark_benchmark: 946.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9726, kappa: 0.9695, kb_relative_information_score: 10611.2831, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3208, recall: 0.9725, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2385, scimark_benchmark: 949.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 9649.273, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8828, predictive_accuracy: 0.8828, prior_entropy: 3.3208, recall: 0.8828, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646, scimark_benchmark: 947.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9908, kappa: 0.9898, kb_relative_information_score: 10880.6835, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 3.3208, recall: 0.9908, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.1271, scimark_benchmark: 948.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.994, kappa: 0.9933, kb_relative_information_score: 3300.0508, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.3208, recall: 0.994, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9063, scimark_benchmark: 910.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9925, kappa: 0.9916, kb_relative_information_score: 10914.9341, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.1119, scimark_benchmark: 947.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9651, kappa: 0.9612, kb_relative_information_score: 10571.4506, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 3.3208, recall: 0.9651, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2707, scimark_benchmark: 943.5625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.9801, kb_relative_information_score: 10570.0302, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 3.3208, recall: 0.9821, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.2006, scimark_benchmark: 947.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9794, kappa: 0.9772, kb_relative_information_score: 10724.2122, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.3208, recall: 0.9794, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1891, scimark_benchmark: 944.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9909, kappa: 0.9899, kb_relative_information_score: 10887.178, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 3.3208, recall: 0.9909, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.1241, scimark_benchmark: 944.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 10823.4174, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 3.3208, recall: 0.9847, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1745, scimark_benchmark: 946.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9911, kb_relative_information_score: 10905.139, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1196, scimark_benchmark: 948.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8818, kappa: 0.8625, kb_relative_information_score: 846.6875, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9036, predictive_accuracy: 0.8764, prior_entropy: 3.3208, recall: 0.8764, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9785, scimark_benchmark: 945.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.971, kappa: 0.9677, kb_relative_information_score: 10586.6535, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 3.3208, recall: 0.971, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2241, scimark_benchmark: 942.6193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9692, kappa: 0.9657, kb_relative_information_score: 10621.7064, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 3.3208, recall: 0.9692, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2589, scimark_benchmark: 946.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9935, kappa: 0.9928, kb_relative_information_score: 3299.6879, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 3.3208, recall: 0.9935, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9069, scimark_benchmark: 944.6652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 10907.1242, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.115, scimark_benchmark: 944.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.547, kappa: 0.4833, kb_relative_information_score: 2190.5257, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8117, predictive_accuracy: 0.5366, prior_entropy: 3.3208, recall: 0.5366, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9526, scimark_benchmark: 946.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 10591.4682, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 3.3208, recall: 0.9655, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2681, scimark_benchmark: 945.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9373, kappa: 0.9302, kb_relative_information_score: 10160.9674, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 3.3208, recall: 0.9372, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3444, scimark_benchmark: 946.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.991, kappa: 0.99, kb_relative_information_score: 10673.3966, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 3.3208, recall: 0.991, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1678, scimark_benchmark: 945.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 948.5023,

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