Task
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: 918.0213, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, 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,
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: 0.969, 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: 1347.993,
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: 1315.933,
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: 1315.933, usercpu_time_millis: 2730, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2680,
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: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9203, kappa: 0.9013, kb_relative_information_score: 1638.8582, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9205, predictive_accuracy: 0.9213, prior_entropy: 2.4378, recall: 0.9213, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4388, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.947, kappa: 0.933, kb_relative_information_score: 1689.7917, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9486, predictive_accuracy: 0.9464, prior_entropy: 2.4378, recall: 0.9464, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3623, scimark_benchmark: 1327.2954, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9565, kappa: 0.9453, kb_relative_information_score: 1733.6507, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 2.4378, recall: 0.9563, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3051, scimark_benchmark: 1327.2954, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
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,
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: 0.9975, 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,
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: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9593, kappa: 0.9488, kb_relative_information_score: 1719.7334, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9598, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2881, scimark_benchmark: 1337.0272, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
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: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9346, kappa: 0.9174, kb_relative_information_score: 1686.5525, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9363, predictive_accuracy: 0.9339, prior_entropy: 2.4378, recall: 0.9339, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3456, scimark_benchmark: 898.1296, usercpu_time_millis: 930, usercpu_time_millis_testing: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9338, kappa: 0.9174, kb_relative_information_score: 147.5259, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9386, predictive_accuracy: 0.9344, prior_entropy: 2.4378, recall: 0.9344, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9839, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9347, kappa: 0.9191, kb_relative_information_score: 1675.2834, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 2.4378, recall: 0.9355, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4018, scimark_benchmark: 1346.3935, usercpu_time_millis: 1370, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8537, kappa: 0.8147, kb_relative_information_score: 1451.9126, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8578, predictive_accuracy: 0.8519, prior_entropy: 2.4378, recall: 0.8519, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5719, scimark_benchmark: 1324.5988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9371, kappa: 0.9208, kb_relative_information_score: 1663.8358, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 2.4378, recall: 0.9366, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3699, scimark_benchmark: 1311.1837, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9564, kappa: 0.9453, kb_relative_information_score: 1732.7561, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9567, predictive_accuracy: 0.9563, prior_entropy: 2.4378, recall: 0.9563, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3222, scimark_benchmark: 1310.6407, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9592, kappa: 0.9488, kb_relative_information_score: 1740.7523, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9596, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2972, scimark_benchmark: 1316.8289, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9178, kappa: 0.8968, kb_relative_information_score: 1531.4928, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.918, prior_entropy: 2.4378, recall: 0.918, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4125, scimark_benchmark: 1034.2235, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9083, kappa: 0.885, kb_relative_information_score: 1526.3226, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9118, predictive_accuracy: 0.9087, prior_entropy: 2.4378, recall: 0.9087, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4176, scimark_benchmark: 1307.8606, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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: 914.2292, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, 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: 1144.961, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9203, kappa: 0.9013, kb_relative_information_score: 1638.8582, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9205, predictive_accuracy: 0.9213, prior_entropy: 2.4378, recall: 0.9213, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4388, scimark_benchmark: 1320.4802, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 1326.014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9706, kappa: 0.9631, kb_relative_information_score: 1756.105, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.971, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2298, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9712, kappa: 0.9637, kb_relative_information_score: 1756.6005, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9714, predictive_accuracy: 0.971, prior_entropy: 2.4378, recall: 0.971, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2291, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.6562, kappa: 0.6478, kb_relative_information_score: 884.3286, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.6872, predictive_accuracy: 0.7251, prior_entropy: 2.4378, recall: 0.7251, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6987, scimark_benchmark: 932.0242, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9489, kappa: 0.937, kb_relative_information_score: 1190.5902, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9511, predictive_accuracy: 0.9497, prior_entropy: 2.4378, recall: 0.9497, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6105, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.3584, kappa: 0.339, kb_relative_information_score: 658.5425, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.2954, predictive_accuracy: 0.4978, prior_entropy: 2.4378, recall: 0.4978, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8643, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8498, kappa: 0.8125, kb_relative_information_score: 914.4048, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.86, predictive_accuracy: 0.8519, prior_entropy: 2.4378, recall: 0.8519, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7162, scimark_benchmark: 1341.994, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 0.0227, build_memory: 593176860, f_measure: 0.9474, kappa: 0.9341, kb_relative_information_score: 1694.9671, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9486, predictive_accuracy: 0.9475, prior_entropy: 2.4378, recall: 0.9475, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3301, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.0318, build_memory: 612821773.6, f_measure: 0.9519, kappa: 0.9397, kb_relative_information_score: 1706.5633, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9533, predictive_accuracy: 0.9519, prior_entropy: 2.4378, recall: 0.9519, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3214, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0395, build_memory: 112879126.4, f_measure: 0.9498, kappa: 0.9369, kb_relative_information_score: 1702.2712, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.951, predictive_accuracy: 0.9497, prior_entropy: 2.4378, recall: 0.9497, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3291, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.04, build_memory: 71097166.4, f_measure: 0.9503, kappa: 0.9376, kb_relative_information_score: 1703.2849, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9515, predictive_accuracy: 0.9503, prior_entropy: 2.4378, recall: 0.9503, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3277, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.0618, build_memory: 61851740.8, f_measure: 0.9503, kappa: 0.9376, kb_relative_information_score: 1703.2849, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9515, predictive_accuracy: 0.9503, prior_entropy: 2.4378, recall: 0.9503, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3277, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.0038, build_memory: 737265921.6, f_measure: 0.8445, kappa: 0.8049, kb_relative_information_score: 1479.9081, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8468, predictive_accuracy: 0.8443, prior_entropy: 2.4378, recall: 0.8443, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5991, scimark_benchmark: 941.8828,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.0014, build_memory: 2148717921.6, f_measure: 0.8445, kappa: 0.8049, kb_relative_information_score: 1479.9081, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8468, predictive_accuracy: 0.8443, prior_entropy: 2.4378, recall: 0.8443, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5991, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.0016, build_memory: 1591417519.2, f_measure: 0.8445, kappa: 0.8049, kb_relative_information_score: 1479.9081, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8468, predictive_accuracy: 0.8443, prior_entropy: 2.4378, recall: 0.8443, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5991, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.001, build_memory: 473153489.6, f_measure: 0.8445, kappa: 0.8049, kb_relative_information_score: 1479.9081, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.8468, predictive_accuracy: 0.8443, prior_entropy: 2.4378, recall: 0.8443, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5991, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0444, build_memory: 1518089165.6, f_measure: 0.9643, kappa: 0.9554, kb_relative_information_score: 1546.6163, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3726, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0512, build_memory: 2329738940, f_measure: 0.9643, kappa: 0.9554, kb_relative_information_score: 1546.6163, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3726, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0368, build_memory: 1691593247.2, f_measure: 0.9643, kappa: 0.9554, kb_relative_information_score: 1546.6163, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3726, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0386, build_memory: 470013612, f_measure: 0.9643, kappa: 0.9554, kb_relative_information_score: 1546.6163, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3726, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.0373, build_memory: 1023349250.4, f_measure: 0.9643, kappa: 0.9554, kb_relative_information_score: 1546.6163, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3726, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, build_cpu_time: 0.0042, build_memory: 224919994.4, f_measure: 0.3647, kappa: 0.2299, kb_relative_information_score: 520.6466, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3697, predictive_accuracy: 0.4098, prior_entropy: 2.4378, recall: 0.4098, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.2156, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, build_cpu_time: 0.0024, build_memory: 500415137.6, f_measure: 0.3647, kappa: 0.2299, kb_relative_information_score: 520.6466, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3697, predictive_accuracy: 0.4098, prior_entropy: 2.4378, recall: 0.4098, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.2156, scimark_benchmark: 925.481,

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