OpenML
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1799 Supervised Classification dermatology 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1324.7884, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 7.5848, build_memory: 523267072, f_measure: 0.9576, kappa: 0.9466, kb_relative_information_score: 1730.6074, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9582, predictive_accuracy: 0.9574, prior_entropy: 2.4378, recall: 0.9574, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.325, scimark_benchmark: 939.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, build_cpu_time: 0.0034, build_memory: 54576867.2, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, build_cpu_time: 0.0021, build_memory: 99323524.8, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0166, build_memory: 114102923.2, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1658.2613, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9359, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.398, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0242, build_memory: 126494266.4, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1658.2613, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9359, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.398, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 0.2025, build_memory: 344073454.4, f_measure: 0.9613, kappa: 0.9515, kb_relative_information_score: 1740.1385, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9617, predictive_accuracy: 0.9612, prior_entropy: 2.4378, recall: 0.9612, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3113, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 0.0764, build_memory: 841070129.6, f_measure: 0.9559, kappa: 0.9446, kb_relative_information_score: 1728.3881, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9562, predictive_accuracy: 0.9557, prior_entropy: 2.4378, recall: 0.9557, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.3303, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 0.0307, build_memory: 67719251.2, f_measure: 0.9536, kappa: 0.9419, kb_relative_information_score: 1724.3903, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9537, predictive_accuracy: 0.9536, prior_entropy: 2.4378, recall: 0.9536, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3374, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.1137, build_memory: 689401323.2, f_measure: 0.9417, kappa: 0.9267, kb_relative_information_score: 1695.5686, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9429, predictive_accuracy: 0.9415, prior_entropy: 2.4378, recall: 0.9415, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3579, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.1046, build_memory: 791418940, f_measure: 0.958, kappa: 0.9473, kb_relative_information_score: 1733.3042, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9583, predictive_accuracy: 0.9579, prior_entropy: 2.4378, recall: 0.9579, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.118, root_relative_squared_error: 0.3234, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 0.025, build_memory: 1341320613.6, f_measure: 0.9526, kappa: 0.9405, kb_relative_information_score: 1722.4083, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 2.4378, recall: 0.9525, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.3384, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.1695, build_memory: 857117044.8, f_measure: 0.9524, kappa: 0.9404, kb_relative_information_score: 1721.5906, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 2.4378, recall: 0.9525, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3238, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0263, build_memory: 274879224.8, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1658.2613, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9359, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.398, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1393.8432, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9776, kappa: 0.972, kb_relative_information_score: 1773.3476, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9785, predictive_accuracy: 0.9776, prior_entropy: 2.4378, recall: 0.9776, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2049, scimark_benchmark: 1344.0499, usercpu_time_millis: 670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9541, kappa: 0.9419, kb_relative_information_score: 1727.9191, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9551, predictive_accuracy: 0.9536, prior_entropy: 2.4378, recall: 0.9536, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3336, scimark_benchmark: 1331.5882, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9555, kappa: 0.944, kb_relative_information_score: 1730.5509, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9558, predictive_accuracy: 0.9552, prior_entropy: 2.4378, recall: 0.9552, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.327, scimark_benchmark: 1343.6648, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9537, kappa: 0.9423, kb_relative_information_score: 1518.7327, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9544, predictive_accuracy: 0.9541, prior_entropy: 2.4378, recall: 0.9541, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3952, scimark_benchmark: 1337.5749, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.1434, kb_relative_information_score: 3.6353, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9704, kappa: 0.9631, kb_relative_information_score: 1689.2381, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2753, scimark_benchmark: 894.7131, usercpu_time_millis: 580, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9537, kappa: 0.9423, kb_relative_information_score: 1524.2581, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9547, predictive_accuracy: 0.9541, prior_entropy: 2.4378, recall: 0.9541, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3907, scimark_benchmark: 1347.5461, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1347.993, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 1325.8468, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1320.1171, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1286.0816, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 945.0194, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9376, kappa: 0.9215, kb_relative_information_score: 1665.0692, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9384, predictive_accuracy: 0.9372, prior_entropy: 2.4378, recall: 0.9372, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.368, scimark_benchmark: 903.4813, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 928.8135, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 931.771, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1350.8432, usercpu_time_millis: 2740, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1303.6861, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1324.7884, usercpu_time_millis: 2620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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