OpenML
Supervised Classification on vote

Supervised Classification on vote

Task 55 Supervised Classification vote 939 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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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: 0.9747, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.4375, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4073, scimark_benchmark: 597.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9496, kappa: 0.894, kb_relative_information_score: 381.1817, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9501, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4045, scimark_benchmark: 594.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9588, kappa: 0.9135, kb_relative_information_score: 373.7178, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9596, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3951, scimark_benchmark: 899.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9587, kappa: 0.9129, kb_relative_information_score: 386.2332, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3782, scimark_benchmark: 918.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9632, kappa: 0.9222, kb_relative_information_score: 377.2298, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3632, scimark_benchmark: 944.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9586, kappa: 0.9125, kb_relative_information_score: 382.0858, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3502, scimark_benchmark: 941.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.4845, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4278, scimark_benchmark: 894.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9541, kappa: 0.9034, kb_relative_information_score: 372.5917, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9544, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.39, scimark_benchmark: 936.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9448, kappa: 0.8836, kb_relative_information_score: 379.5749, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9627, recall: 0.9448, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4629, scimark_benchmark: 946.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9471, kappa: 0.8884, kb_relative_information_score: 384.0152, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4641, scimark_benchmark: 942.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 391.903, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4376, scimark_benchmark: 921.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.5451, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.415, scimark_benchmark: 936.1995,
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: 0.9824, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 364.6715, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4071, scimark_benchmark: 928.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9587, kappa: 0.9131, kb_relative_information_score: 395.2633, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4176, scimark_benchmark: 944.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.0483, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6079, scimark_benchmark: 927.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8995, kappa: 0.7899, kb_relative_information_score: 341.9921, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 0.9627, recall: 0.8989, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6081, scimark_benchmark: 938.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 399.2474, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3895, scimark_benchmark: 932.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9495, kappa: 0.8938, kb_relative_information_score: 384.1833, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4606, scimark_benchmark: 935.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9494, kappa: 0.8933, kb_relative_information_score: 359.0888, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4104, scimark_benchmark: 939.2565,
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: 0.7917, f_measure: 0.7948, kappa: 0.5721, kb_relative_information_score: 240.7543, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.7991, predictive_accuracy: 0.7931, prior_entropy: 0.9627, recall: 0.7931, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9342, scimark_benchmark: 913.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 380.2095, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3614, scimark_benchmark: 915.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9564, kappa: 0.9084, kb_relative_information_score: 392.246, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4269, scimark_benchmark: 936.1831,
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: 0.9753, f_measure: 0.954, kappa: 0.9028, kb_relative_information_score: 392.3454, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4232, scimark_benchmark: 927.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 386.1193, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4097, scimark_benchmark: 821.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9609, kappa: 0.9175, kb_relative_information_score: 397.7881, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3937, scimark_benchmark: 943.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 376.3575, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 393.668, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4053, scimark_benchmark: 948.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 382.7227, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3472, scimark_benchmark: 939.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9222, kappa: 0.8369, kb_relative_information_score: 365.4982, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9236, predictive_accuracy: 0.9218, prior_entropy: 0.9627, recall: 0.9218, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5012, scimark_benchmark: 925.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9519, kappa: 0.8987, kb_relative_information_score: 388.3249, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4339, scimark_benchmark: 943.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9563, kappa: 0.908, kb_relative_information_score: 378.2624, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3839, scimark_benchmark: 939.9468,
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 - 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: 0.9593, f_measure: 0.9609, kappa: 0.9177, kb_relative_information_score: 398.1822, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.406, scimark_benchmark: 946.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9587, kappa: 0.9131, kb_relative_information_score: 380.736, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3791, scimark_benchmark: 945.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.961, kappa: 0.9178, kb_relative_information_score: 395.8077, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.405, scimark_benchmark: 938.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 386.6201, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4307, scimark_benchmark: 926.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9519, kappa: 0.8992, kb_relative_information_score: 389.556, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.953, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9246, kappa: 0.8423, kb_relative_information_score: 362.8296, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9268, predictive_accuracy: 0.9241, prior_entropy: 0.9627, recall: 0.9241, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4822, scimark_benchmark: 944.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 384.4179, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3437, scimark_benchmark: 940.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 364.3375, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4371, scimark_benchmark: 946.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9517, kappa: 0.8981, kb_relative_information_score: 389.5573, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4513, scimark_benchmark: 896.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 369.9795, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4102, scimark_benchmark: 789.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9517, kappa: 0.8981, kb_relative_information_score: 387.1578, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4463, scimark_benchmark: 945.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 918.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9472, kappa: 0.8886, kb_relative_information_score: 386.9972, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9472, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4506, scimark_benchmark: 944.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 389.5576, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4337, scimark_benchmark: 913.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 382.6507, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4644, scimark_benchmark: 939.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.5132, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4087, scimark_benchmark: 934.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 380.5185, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3525, scimark_benchmark: 943.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9586, kappa: 0.9127, kb_relative_information_score: 397.966, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3865, scimark_benchmark: 945.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9587, kappa: 0.9131, kb_relative_information_score: 368.2955, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3707, scimark_benchmark: 943.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 382.8776, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3742, scimark_benchmark: 943.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.6244, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4241, scimark_benchmark: 947.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9587, kappa: 0.9129, kb_relative_information_score: 380.5103, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3472, scimark_benchmark: 947.159,
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: 0.9827, f_measure: 0.9518, kappa: 0.8985, kb_relative_information_score: 389.4845, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.952, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4335, scimark_benchmark: 913.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.5132, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4087, scimark_benchmark: 920.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9495, kappa: 0.8938, kb_relative_information_score: 385.0305, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4613, scimark_benchmark: 905.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9427, kappa: 0.8797, kb_relative_information_score: 378.6952, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9434, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4192, scimark_benchmark: 881.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 399.2722, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3895, scimark_benchmark: 873.3293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9474, kappa: 0.8896, kb_relative_information_score: 384.5992, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9484, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9519, kappa: 0.8987, kb_relative_information_score: 390.1938, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4321, scimark_benchmark: 942.4854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9292, kappa: 0.8518, kb_relative_information_score: 364.887, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9313, predictive_accuracy: 0.9287, prior_entropy: 0.9627, recall: 0.9287, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4753, scimark_benchmark: 949.0766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.961, kappa: 0.9178, kb_relative_information_score: 393.4429, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3683, scimark_benchmark: 950.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 925.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9177, kappa: 0.8277, kb_relative_information_score: 355.4419, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9196, predictive_accuracy: 0.9172, prior_entropy: 0.9627, recall: 0.9172, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5429, scimark_benchmark: 945.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9611, kappa: 0.9182, kb_relative_information_score: 375.8532, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9617, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3788, scimark_benchmark: 945.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9587, kappa: 0.9131, kb_relative_information_score: 396.2235, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4148, scimark_benchmark: 939.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9518, kappa: 0.8985, kb_relative_information_score: 379.3634, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.952, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3966, scimark_benchmark: 944.6344,
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: 0.98, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 382.6507, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4644, scimark_benchmark: 918.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 386.6201, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4307, scimark_benchmark: 947.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 945.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 389.5576, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4337, scimark_benchmark: 944.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9222, kappa: 0.8369, kb_relative_information_score: 365.4982, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9236, predictive_accuracy: 0.9218, prior_entropy: 0.9627, recall: 0.9218, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5012, scimark_benchmark: 936.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9519, kappa: 0.8987, kb_relative_information_score: 389.0214, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4322, scimark_benchmark: 948.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 340.3896, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6254, scimark_benchmark: 933.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.7015, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4284, scimark_benchmark: 916.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 391.6727, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.429, scimark_benchmark: 942.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9563, kappa: 0.9078, kb_relative_information_score: 393.6872, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4045, scimark_benchmark: 943.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 382.3828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4132, scimark_benchmark: 920.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 380.0356, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3515, scimark_benchmark: 935.6313,
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: 0.9912, f_measure: 0.9565, kappa: 0.9086, kb_relative_information_score: 375.3373, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9571, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3649, scimark_benchmark: 950.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.7769, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3507, scimark_benchmark: 947.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9563, kappa: 0.908, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 947.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9426, kappa: 0.8792, kb_relative_information_score: 378.9773, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9428, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4713, scimark_benchmark: 946.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9587, kappa: 0.9133, kb_relative_information_score: 376.0696, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3625, scimark_benchmark: 948.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9493, kappa: 0.8929, kb_relative_information_score: 381.4687, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4505, scimark_benchmark: 947.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 946.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.3665, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6112, scimark_benchmark: 946.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099, scimark_benchmark: 946.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9608, kappa: 0.9171, kb_relative_information_score: 386.8366, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3617, scimark_benchmark: 944.2998,

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