OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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1271 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9981, kappa: 0.9974, kb_relative_information_score: 12907.576, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9981, predictive_accuracy: 0.9982, prior_entropy: 1.7176, recall: 0.9982, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.067, scimark_benchmark: 943.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9808, kappa: 0.9729, kb_relative_information_score: 12660.4591, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9813, predictive_accuracy: 0.9816, prior_entropy: 1.7176, recall: 0.9816, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1744, scimark_benchmark: 939.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 12942.0024, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9996, prior_entropy: 1.7176, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0336, scimark_benchmark: 939.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9974, kappa: 0.9963, kb_relative_information_score: 12892.5536, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9973, predictive_accuracy: 0.9975, prior_entropy: 1.7176, recall: 0.9975, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.085, scimark_benchmark: 941.1879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8675, kappa: 0.8195, kb_relative_information_score: 7460.5212, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8704, predictive_accuracy: 0.8784, prior_entropy: 1.7176, recall: 0.8784, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6857, scimark_benchmark: 922.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9627, kappa: 0.9464, kb_relative_information_score: 12081.691, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9624, predictive_accuracy: 0.9635, prior_entropy: 1.7176, recall: 0.9635, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2696, scimark_benchmark: 942.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9694, kb_relative_information_score: 12264.4759, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9787, predictive_accuracy: 0.9792, prior_entropy: 1.7176, recall: 0.9792, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2262, scimark_benchmark: 949.3414,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9197, kappa: 0.8822, kb_relative_information_score: 11068.9011, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 1.7176, recall: 0.9196, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4217, scimark_benchmark: 945.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 5341.6361, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7147, scimark_benchmark: 948.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.908, kappa: 0.8807, kb_relative_information_score: 10366.6648, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.897, predictive_accuracy: 0.9194, prior_entropy: 1.7176, recall: 0.9194, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4448, scimark_benchmark: 932.6795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8991, kappa: 0.8608, kb_relative_information_score: 11090.4429, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9077, predictive_accuracy: 0.9059, prior_entropy: 1.7176, recall: 0.9059, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.5103, scimark_benchmark: 949.493,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9997, kb_relative_information_score: 12879.9177, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9996, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0411, scimark_benchmark: 944.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9913, kappa: 0.9882, kb_relative_information_score: 12851.497, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 1.7176, recall: 0.992, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0821, scimark_benchmark: 943.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 945.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 5341.6361, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7147, scimark_benchmark: 944.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9987, kappa: 0.9982, kb_relative_information_score: 12917.8942, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9986, predictive_accuracy: 0.9988, prior_entropy: 1.7176, recall: 0.9988, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0604, scimark_benchmark: 933.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9988, kappa: 0.9982, kb_relative_information_score: 12913.5825, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7176, recall: 0.9988, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0211, root_relative_squared_error: 0.0572, scimark_benchmark: 941.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9754, kappa: 0.9647, kb_relative_information_score: 12210.8396, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9752, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2387, scimark_benchmark: 940.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.92, kappa: 0.8961, kb_relative_information_score: 11392.4105, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9244, predictive_accuracy: 0.9298, prior_entropy: 1.7176, recall: 0.9298, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3861, scimark_benchmark: 910.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9306, kappa: 0.8982, kb_relative_information_score: 11631.5835, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1.7176, recall: 0.9306, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4211, scimark_benchmark: 948.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9296, kappa: 0.9105, kb_relative_information_score: 11503.504, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9395, prior_entropy: 1.7176, recall: 0.9395, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3709, scimark_benchmark: 948.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.998, kappa: 0.9972, kb_relative_information_score: 2959.8966, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9979, predictive_accuracy: 0.9981, prior_entropy: 1.7176, recall: 0.9981, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.8563, scimark_benchmark: 947.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9665, kappa: 0.9514, kb_relative_information_score: 12312.0705, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9662, predictive_accuracy: 0.9669, prior_entropy: 1.7176, recall: 0.9669, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2508, scimark_benchmark: 947.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9868, kappa: 0.9806, kb_relative_information_score: 12703.8378, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 1.7176, recall: 0.9867, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1702, scimark_benchmark: 946.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9225, kappa: 0.8885, kb_relative_information_score: 11041.2609, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9245, predictive_accuracy: 0.9243, prior_entropy: 1.7176, recall: 0.9243, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4076, scimark_benchmark: 937.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.939, kappa: 0.9115, kb_relative_information_score: 11645.0493, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9388, predictive_accuracy: 0.9397, prior_entropy: 1.7176, recall: 0.9397, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.3536, scimark_benchmark: 945.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.993, kb_relative_information_score: 12518.3781, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 1.7176, recall: 0.9952, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1522, scimark_benchmark: 944.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2964.8622, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.856, scimark_benchmark: 949.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9309, kappa: 0.899, kb_relative_information_score: 2787.3364, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9309, predictive_accuracy: 0.9311, prior_entropy: 1.7176, recall: 0.9311, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8671, scimark_benchmark: 948.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.386, kappa: 0.2487, kb_relative_information_score: 801.4171, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.3298, predictive_accuracy: 0.4981, prior_entropy: 1.7176, recall: 0.4981, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.993, scimark_benchmark: 946.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9833, kb_relative_information_score: 12029.9421, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9883, predictive_accuracy: 0.9886, prior_entropy: 1.7176, recall: 0.9886, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2337, scimark_benchmark: 944.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9256, kappa: 0.8912, kb_relative_information_score: 11214.0125, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9258, predictive_accuracy: 0.9259, prior_entropy: 1.7176, recall: 0.9259, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3971, scimark_benchmark: 946.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 946.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 910.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 948.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 947.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4083.8332, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 945.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9872, kb_relative_information_score: 12015.0112, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9911, predictive_accuracy: 0.9913, prior_entropy: 1.7176, recall: 0.9913, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2311, scimark_benchmark: 947.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 945.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 947.1561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.954, kappa: 0.9345, kb_relative_information_score: 12035.0875, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9541, predictive_accuracy: 0.9555, prior_entropy: 1.7176, recall: 0.9555, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 944.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2964.8622, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.856, scimark_benchmark: 948.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9603, kappa: 0.9436, kb_relative_information_score: 12138.6629, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9603, predictive_accuracy: 0.9617, prior_entropy: 1.7176, recall: 0.9617, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2866, scimark_benchmark: 949.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9075, kappa: 0.88, kb_relative_information_score: 2414.2419, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.897, predictive_accuracy: 0.9191, prior_entropy: 1.7176, recall: 0.9191, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.8799, scimark_benchmark: 949.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.5831, kappa: 0.4926, kb_relative_information_score: 1587.884, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.7865, predictive_accuracy: 0.6607, prior_entropy: 1.7176, recall: 0.6607, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.9275, scimark_benchmark: 949.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9221, kappa: 0.887, kb_relative_information_score: 59.8724, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9219, predictive_accuracy: 0.923, prior_entropy: 1.7176, recall: 0.923, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9679, scimark_benchmark: 910.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9614, kappa: 0.944, kb_relative_information_score: 11908.0596, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9613, predictive_accuracy: 0.9618, prior_entropy: 1.7176, recall: 0.9618, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3047, scimark_benchmark: 941.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9321, kappa: 0.9169, kb_relative_information_score: 2802.8132, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9208, predictive_accuracy: 0.9439, prior_entropy: 1.7176, recall: 0.9439, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8654, scimark_benchmark: 944.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 912.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12716.2165, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.17, scimark_benchmark: 947.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12716.2165, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.17, scimark_benchmark: 945.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 948.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9371, kappa: 0.9086, kb_relative_information_score: 11615.613, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 1.7176, recall: 0.9377, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3579, scimark_benchmark: 947.2142,

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