OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 23377 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 random_tag study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8855, kappa: 0.8728, kb_relative_information_score: 1746.1809, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.886, predictive_accuracy: 0.8855, prior_entropy: 3.3219, recall: 0.8855, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4869, scimark_benchmark: 643.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.945, kappa: 0.9389, kb_relative_information_score: 1893.1588, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9455, predictive_accuracy: 0.945, prior_entropy: 3.3219, recall: 0.945, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3189, scimark_benchmark: 942.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.1103, kappa: 0.1072, kb_relative_information_score: 441.9991, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0814, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, scimark_benchmark: 928.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1947.7119, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357, scimark_benchmark: 891.2075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 1943.4912, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2428, scimark_benchmark: 944.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 595.574, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9797, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 894.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8362, kappa: 0.8217, kb_relative_information_score: 965.5152, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8523, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1952.1027, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2004, scimark_benchmark: 948.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.953, kappa: 0.9478, kb_relative_information_score: 1826.4402, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9533, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3136, scimark_benchmark: 938.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 1778.7913, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.3219, recall: 0.9525, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.3411, scimark_benchmark: 945.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.5101, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9771, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2267, scimark_benchmark: 940.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9398, kappa: 0.9333, kb_relative_information_score: 1869.7203, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1952.1027, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1804.5893, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.335, scimark_benchmark: 899.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1955.6422, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2168, scimark_benchmark: 945.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9686, kappa: 0.965, kb_relative_information_score: 1927.5255, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.2577, scimark_benchmark: 862.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.3802, kappa: 0.3211, kb_relative_information_score: 722.0843, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3798, predictive_accuracy: 0.389, prior_entropy: 3.3219, recall: 0.389, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.1652, scimark_benchmark: 937.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8935, kappa: 0.8817, kb_relative_information_score: 1678.7334, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8952, predictive_accuracy: 0.8935, prior_entropy: 3.3219, recall: 0.8935, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4361, scimark_benchmark: 936.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 1828.4285, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3192, scimark_benchmark: 947.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9291, kappa: 0.9211, kb_relative_information_score: 1803.6986, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9297, predictive_accuracy: 0.929, prior_entropy: 3.3219, recall: 0.929, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3539, scimark_benchmark: 941.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3633, kappa: 0.3006, kb_relative_information_score: 683.3913, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3605, predictive_accuracy: 0.3705, prior_entropy: 3.3219, recall: 0.3705, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.1827, scimark_benchmark: 921.6573,
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: 0.9965, f_measure: 0.9355, kappa: 0.9283, kb_relative_information_score: 1809.7522, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9359, predictive_accuracy: 0.9355, prior_entropy: 3.3219, recall: 0.9355, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.339, scimark_benchmark: 923.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9644, kappa: 0.9606, kb_relative_information_score: 1926.9247, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2477, scimark_benchmark: 930.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1943.9759, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1995, scimark_benchmark: 943.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.1103, kappa: 0.1072, kb_relative_information_score: 441.9991, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0814, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, scimark_benchmark: 938.1716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9106, kappa: 0.9006, kb_relative_information_score: 1754.0569, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9118, predictive_accuracy: 0.9105, prior_entropy: 3.3219, recall: 0.9105, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4179, scimark_benchmark: 940.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1950.4952, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2052, scimark_benchmark: 936.1152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9398, kappa: 0.9333, kb_relative_information_score: 1869.7203, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309, scimark_benchmark: 931.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3633, kappa: 0.3006, kb_relative_information_score: 683.3913, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3605, predictive_accuracy: 0.3705, prior_entropy: 3.3219, recall: 0.3705, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.1827, scimark_benchmark: 935.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.3868, kappa: 0.3278, kb_relative_information_score: 843.0426, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3872, predictive_accuracy: 0.395, prior_entropy: 3.3219, recall: 0.395, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9757, scimark_benchmark: 907.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9286, kappa: 0.9206, kb_relative_information_score: 1859.6267, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9293, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3693, scimark_benchmark: 945.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 1918.3603, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2878, scimark_benchmark: 929.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9286, kappa: 0.9206, kb_relative_information_score: 1859.6267, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9293, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3693, scimark_benchmark: 935.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9485, kappa: 0.9428, kb_relative_information_score: 1822.3012, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3258, scimark_benchmark: 945.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.2973, kappa: 0.3167, kb_relative_information_score: 432.8287, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3852, predictive_accuracy: 0.385, prior_entropy: 3.3219, recall: 0.385, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9445, scimark_benchmark: 945.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 1824.0793, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9611, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8437, kappa: 0.8261, kb_relative_information_score: 1672.6779, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8444, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897, scimark_benchmark: 935.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9398, kappa: 0.9333, kb_relative_information_score: 1869.7203, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.3309, scimark_benchmark: 930.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 1777.7096, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.896, predictive_accuracy: 0.8955, prior_entropy: 3.3219, recall: 0.8955, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4746, scimark_benchmark: 929.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1941.3096, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2475, scimark_benchmark: 922.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3633, kappa: 0.3006, kb_relative_information_score: 683.3913, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3605, predictive_accuracy: 0.3705, prior_entropy: 3.3219, recall: 0.3705, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.1827, scimark_benchmark: 944.2387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 1948.8463, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2321, scimark_benchmark: 930.3718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.0508, kappa: 0.0183, kb_relative_information_score: 163.4887, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1165, prior_entropy: 3.3219, recall: 0.1165, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.0208, scimark_benchmark: 948.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 596.4198, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9085, scimark_benchmark: 922.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9585, kappa: 0.9539, kb_relative_information_score: 1807.1037, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3369, scimark_benchmark: 947.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1788.6337, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8785, kappa: 0.8644, kb_relative_information_score: 1738.5081, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8793, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4813, scimark_benchmark: 946.2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.2701, kappa: 0.1806, kb_relative_information_score: 189.7942, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5107, predictive_accuracy: 0.2625, prior_entropy: 3.3219, recall: 0.2625, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9829, scimark_benchmark: 947.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8481, kappa: 0.7967, kb_relative_information_score: 533.7204, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9273, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9253, scimark_benchmark: 945.4626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.891, kappa: 0.8789, kb_relative_information_score: 1770.619, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8913, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 944.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1942.5157, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, scimark_benchmark: 923.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1942.5157, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2107, scimark_benchmark: 946.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.4247, kappa: 0.3528, kb_relative_information_score: 349.4991, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6866, predictive_accuracy: 0.4175, prior_entropy: 3.3219, recall: 0.4175, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597, scimark_benchmark: 911.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.4247, kappa: 0.3528, kb_relative_information_score: 349.4991, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6866, predictive_accuracy: 0.4175, prior_entropy: 3.3219, recall: 0.4175, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9597, scimark_benchmark: 948.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9584, kappa: 0.9539, kb_relative_information_score: 1896.8519, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.081, root_relative_squared_error: 0.2701, scimark_benchmark: 947.0557,

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