Task
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2352 Supervised Classification meta_all.arff 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.007, build_memory: 727985288, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.027, build_memory: 1690623992, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 703921720, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.006, build_memory: 1027987856, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.005, build_memory: 702183920, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.002, build_memory: 297631592, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.048, build_memory: 2233846464, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.046, build_memory: 1327417496, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.008, build_memory: 339497000, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, build_cpu_time: 0.001, build_memory: 1186458688, f_measure: 0.4295, kappa: 0.1178, kb_relative_information_score: 1.5782, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5815, predictive_accuracy: 0.3913, prior_entropy: 1.9094, recall: 0.3913, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4504, root_relative_squared_error: 1.5432, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.042, build_memory: 2571767400, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, build_cpu_time: 0.04, build_memory: 1313645832, f_measure: 0.7559, kappa: 0.5772, kb_relative_information_score: 4.1886, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7507, predictive_accuracy: 0.7826, prior_entropy: 1.9094, recall: 0.7826, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9635, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.5652, kappa: 0.1353, kb_relative_information_score: 4.5625, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0509, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6381, kappa: 0.393, kb_relative_information_score: 7.398, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7514, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2374, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 1304.9611, usercpu_time_millis: 1180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.5529, kappa: 0.2813, kb_relative_information_score: 5.1723, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6966, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.3679, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6147, kappa: 0.367, kb_relative_information_score: 5.2831, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.702, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3363, root_relative_squared_error: 1.1522, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.527, kappa: 0.2561, kb_relative_information_score: 4.1686, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7211, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.417, root_relative_squared_error: 1.4287, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.542, kappa: 0.2239, kb_relative_information_score: 4.2325, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6271, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3605, root_relative_squared_error: 1.2351, scimark_benchmark: 925.4974, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5708, kb_relative_information_score: -2.8427, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.2379, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.1403, scimark_benchmark: 1034.1273, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.658, kappa: 0.3521, kb_relative_information_score: -1.6398, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6832, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.248, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.1499, scimark_benchmark: 932.5646, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1227.9507, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1365.1392, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6309, kappa: 0.3, kb_relative_information_score: 5.891, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5845, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2976, root_relative_squared_error: 1.0195, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.5893, kappa: 0.3215, kb_relative_information_score: 5.3903, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7043, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1604, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1327.2954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6147, kappa: 0.367, kb_relative_information_score: 5.2831, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.702, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3363, root_relative_squared_error: 1.1522, scimark_benchmark: 889.3151, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5377, kappa: 0.1595, kb_relative_information_score: 1.7464, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.2863, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.544, kappa: 0.1761, kb_relative_information_score: 3.6397, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.687, predictive_accuracy: 0.4783, prior_entropy: 1.9094, recall: 0.4783, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.417, root_relative_squared_error: 1.4287, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, build_cpu_time: 0.128, build_memory: 917794928, f_measure: 0.5411, kappa: -0.0299, kb_relative_information_score: 2.0274, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.487, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0018, scimark_benchmark: 902.5808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, build_cpu_time: 0.005, build_memory: 564346664, f_measure: 0.575, kappa: 0.2359, kb_relative_information_score: 6.5921, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.1724, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, build_cpu_time: 0.006, build_memory: 918010776, f_measure: 0.575, kappa: 0.2359, kb_relative_information_score: 6.5921, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6112, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.1724, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, build_cpu_time: 0.001, build_memory: 281882016, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: 0.8109, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.4241, scimark_benchmark: 943.2554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, build_cpu_time: 0.005, build_memory: 38799384, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, build_cpu_time: 0.007, build_memory: 405356800, f_measure: 0.5377, kappa: 0.151, kb_relative_information_score: 3.4972, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.2975, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, build_cpu_time: 0.005, build_memory: 28873496, f_measure: 0.5377, kappa: 0.151, kb_relative_information_score: 3.4972, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5786, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.2975, scimark_benchmark: 919.5971,

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