OpenML
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 916.5769, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8283, kappa: 0.6482, kb_relative_information_score: 59.641, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.831, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8097, scimark_benchmark: 1337.8643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.8856, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7469, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.78, kappa: 0.5512, kb_relative_information_score: 41.082, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8662, scimark_benchmark: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7309, kappa: 0.4539, kb_relative_information_score: 42.5448, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7331, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9362, scimark_benchmark: 961.21, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 24.7979, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.04, scimark_benchmark: 1268.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 42.8525, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8492, scimark_benchmark: 912.7324, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6815, kappa: 0.3582, kb_relative_information_score: 35.0134, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.688, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0811, scimark_benchmark: 1319.4881, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.3125, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6562, root_relative_squared_error: 1.3254, scimark_benchmark: 896.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.5611, kappa: 0.1075, kb_relative_information_score: 9.5044, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5626, predictive_accuracy: 0.56, prior_entropy: 0.9864, recall: 0.56, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3398, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.6409, kappa: 0.2698, kb_relative_information_score: 25.948, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6423, predictive_accuracy: 0.64, prior_entropy: 0.9864, recall: 0.64, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2119, scimark_benchmark: 1288.1375, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 52.005, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8211, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.8901, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8417, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8297, kappa: 0.6522, kb_relative_information_score: 39.6903, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7609, scimark_benchmark: 1334.4761, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8, kappa: 0.592, kb_relative_information_score: 38.0617, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7793, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 47.3428, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9508, scimark_benchmark: 898.1296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7411, kappa: 0.4756, kb_relative_information_score: 44.1264, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7445, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9438, scimark_benchmark: 1318.8785, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7703, kappa: 0.5321, kb_relative_information_score: 41.901, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7708, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8843, scimark_benchmark: 1337.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 48.2032, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7523, scimark_benchmark: 1311.1837, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1307.8606, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1006.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6409, kappa: 0.2698, kb_relative_information_score: 27.3261, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6423, predictive_accuracy: 0.64, prior_entropy: 0.9864, recall: 0.64, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1406, scimark_benchmark: 1341.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6409, kappa: 0.2698, kb_relative_information_score: 27.3261, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6423, predictive_accuracy: 0.64, prior_entropy: 0.9864, recall: 0.64, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1406, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7907, kappa: 0.5752, kb_relative_information_score: 47.9731, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7928, predictive_accuracy: 0.79, prior_entropy: 0.9864, recall: 0.79, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8411, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6683, kappa: 0.321, kb_relative_information_score: 32.1144, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6678, predictive_accuracy: 0.67, prior_entropy: 0.9864, recall: 0.67, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1603, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6884, kappa: 0.3621, kb_relative_information_score: 19.286, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.688, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9289, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.711, kappa: 0.4134, kb_relative_information_score: 24.7508, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0417, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6904, kappa: 0.3694, kb_relative_information_score: 36.2253, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.691, predictive_accuracy: 0.69, prior_entropy: 0.9864, recall: 0.69, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1246, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5223, kappa: 0.0427, kb_relative_information_score: -0.8942, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.5313, predictive_accuracy: 0.52, prior_entropy: 0.9864, recall: 0.52, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5794, root_relative_squared_error: 1.1703, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.8005, kappa: 0.5943, kb_relative_information_score: 42.8091, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8016, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8138, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7993, kappa: 0.5897, kb_relative_information_score: 42.2569, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8337, scimark_benchmark: 1370.6464, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 1324.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 1333.1945, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 45.3842, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9595, scimark_benchmark: 1316.781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7592, kappa: 0.5076, kb_relative_information_score: 51.528, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.759, predictive_accuracy: 0.76, prior_entropy: 0.9864, recall: 0.76, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9268, scimark_benchmark: 931.2336, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.72, kappa: 0.4288, kb_relative_information_score: 42.1916, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9864, recall: 0.72, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0333, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7, kappa: 0.388, kb_relative_information_score: 35.6373, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9864, recall: 0.7, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0496, scimark_benchmark: 941.7954, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7096, kappa: 0.4067, kb_relative_information_score: 33.4907, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7093, predictive_accuracy: 0.71, prior_entropy: 0.9864, recall: 0.71, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0522, scimark_benchmark: 923.7642, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6294, kappa: 0.243, kb_relative_information_score: 22.2546, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.63, prior_entropy: 0.9864, recall: 0.63, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1363, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7677, kappa: 0.524, kb_relative_information_score: 54.5273, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7694, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9184, scimark_benchmark: 936.6206, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 55.4775, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9076, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7773, kappa: 0.5434, kb_relative_information_score: 54.8837, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9233, scimark_benchmark: 911.3823, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 55.3189, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9147, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.5255, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9177, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 47.3428, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9508, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 45.3842, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9595, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7411, kappa: 0.4756, kb_relative_information_score: 44.1264, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7445, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9438, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7309, kappa: 0.4539, kb_relative_information_score: 42.5448, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7331, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9362, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7703, kappa: 0.5321, kb_relative_information_score: 41.901, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7708, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8843, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.418, kappa: 0.0984, kb_relative_information_score: 8.922, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6645, predictive_accuracy: 0.5, prior_entropy: 0.9864, recall: 0.5, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0808, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7503, kappa: 0.4915, kb_relative_information_score: 42.4211, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.954, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8005, kappa: 0.5943, kb_relative_information_score: 40.8789, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8016, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7883, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.4139, kb_relative_information_score: -0.1613, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs